Life-time summary:
- Refereed journal papers (published, in press) : 407
- Refereed book chapters : 26
- Refereed journal papers /book chapters (in review, in revision) : 25
- Major reports : 47
- Total citations (based on Web of Science) : >20460 Latest Details
- Total citations (based on Google Scholar) : >34000 Latest Details
- H Index (based on Web of Science) : 75
- H Index (based on Google Scholar) : 90
Refereed publications
A. Articles (supervised students and PDFs are in bold)
407. Chen, J. M., 2021. Carbon neutrality: toward a sustainable future. The Innovation, 2(3), 100127.
406. Luo, X., T. F. Keenan, J. M. Chen, H. Croft, I. C. Prentice, N. G. Smith, A. P. Walker, H. Wang, R. Wang, C. Xu, Y. Zhang, 2021. Global variation in the fraction of leaf nitrogen allocated to photosynthesis. Nature Communications, DOI:10.1038/s41467-021-25163-9.
405. Li, Y., Q. Ma*, J. M. Chen*, H. Croft, X. Luo, T. Zheng, C. Rogers, J. Liu. 2021. Advanced physically-based two-step model inversion for retrieving leaf chlorophyll content in a deciduous forest from Sentinel-2 data. Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2021.112618.
404. Guan, X., J. M. Chen*, H. Shen, X. Xie. 2021. A modified two-leaf light use efficiency model for improving the simulation of GPP using a radiation scalar. Agricultural and Forest Meteorology, 307, 108546.
403. Ter-Mikaelian, M., A. Gonsamo, J. M Chen, G. Mo, J. Chen, 2021. Historical and future carbon stocks in forests of northern Ontario, Canada. Carbon Balance and Management (2021) 16:21 https://doi.org/10.1186/s1302 1-021-00184-5.
402. Wang, J., F. Jiang, H. Wang, B. Qiu, M. Wu, W. He, W. Ju, Y. Zhang, J. M. Chen, and Y. Zhou. 2021. Constraining global terrestrial gross primary productivity in a global carbon assimilation system with OCO-2 chlorophyll fluorescence data. Agricultural and Forest Meteorology, 304-305,108424.
401. Geng, J., Q. Zhang*, F. Qiu, J. M. Chen, Y. Zhang, W. Fan, L. Tu, J. Huang, S. Wang, L. Xu, and J. Li, 2021. Evaluation of GOFP over four forest plots using RAMI and UAV measurements. International Journal of Digital Earth. https://doi.org/10.1080/17538947.202 1.1936226
400. He, L., J. M. Chen, G. Mostovoy, and A. Gonsamo. 2021. SMAP improves global soil moisture simulation in a land surface scheme and reveals strong irrigation signals over farmlands. Geophysical Research Letters http://dx.doi.org/10.1029/2021GL092658.
399. Geng, J., G. Yuan, J. M. Chen, C. Lv *, L. Tu *, W. Fan, Q. Tian, Z. Wu, T. Tao, M. Yu, Y. Zhu, J. Huang, K. Xu, J. Li, and S. Wang. 2021. Errors analysis of LAI measurements with LAI-2000 due to discrete view angular ranges angles for continuous canopies. Remote Sensing, 13, 1405. https://doi.org/ 10.3390/rs13071405.
398. Zhang, Q., J. M. Chen*, W. Ju, Y. Zhang, S. Chou, Z. Li, B. Chen, J. Li, N. Shan, B. Qiu, J. Li, X. Zhang, and Z. Zhang. 2021. Angular normalization of ground-based multi-angle sun-induced chlorophyll fluorescence for assessing vegetation productivity. Journal of Geophysical Research: Biogeosciences DOI: 10.1029/2020JG006082.
397. Rogers, C., J. M. Chen, H. Croft, A. Gonsamo, X. Luo, P. Bartlett, R. M. Staebler. 2021. Daily leaf area index from photosynthetically active radiation for long term records of canopy structure and leaf phenology. Agricultural and Forest Meteorology, 304, 108407.
396. Wang, J., M. Wang, J.-S. Kim, J. Joiner, N. Zeng, W. He, M. Wu, F. Jiang, H. Wang, T. Chen, W. Ju, J. M. Chen. 2021. Modulation of land photosynthesis by the Indian Ocean Dipole: satellite-based observations and CMIP6 future projections. Earth Future, 9, e2020EF001942. https://doi.org/10.1029/2020EF001942
395. Xie X., J. M. Chen, P. Gong, and A. Li. 2021. Spatial scaling of gross primary productivity over 16 mountainous areas using vegetation heterogeneity and surface topography. Journal of Geophysical Research: Biogeosciences, https://doi.org/10.1029/202 0JG005848
394. de Oliveira, G., N. A. Brunsell, J. M. Chen, Y. E. Shimabukuro, G. A. V. Mataveli, C. A. C. dos Santos, S. C. Stark, A. de Lima, L. E. O. C. Aragao. 2021. Legacy effects following fire on surface energy fluxes and water-use efficiency in primary Amazonian forests. Journal of Geophysical Research: Biogeosciences, doi: 10.1029/2020JG005833
393. He, L, R. Wang, G. Mostovoy, J. Liu, J. M Chen, J. Shang, J. Liu, H. McNairn, J. Powers, and K. Gottfried. 2021. Crop biomass mapping based on Sentinel-2 and an ecosystem model: opportunity and challenge. Remote Sensing, 13, 806. https://doi.org/10. 3390/rs13040806.
392. He,W., M. Wu,F. Jiang*,H. Wang,J. Wang,W. Ju, M. Scholze, B. Byrne,J. Liu,J. M. Chen. 2021. Regional CO2 Fluxes during 2010-2015 Inferred from GOSAT XCO2 retrievals using a new version of Global Carbon Assimilation System. Atmospheric Physics and Chemistry, 21 (3), 1963-1985.
391. Qian, X., L. Liu, H. Croft, and J. M. Chen, 2020. Relationship between leaf maximum carboxylationr rate and chlorophyll content preserved across 13 species. Journal of Geophysical Research: Biogeosciences, DOI: 10.1029/2020JG006076
390. Shan, N., Y. Zhang, J. M. Chen, W. Ju, M. Migliavacca, J. Penuelas, X. Yang, Z. Zhang, J. A. Nelson, and Y. Goulas, 2021. A model for estimating transpiration from remotely sensed solar-induced chlorophyll fluorescence. Remote Sensing of Environment, 252, 112134.
389. Chen, B., M. A. Arain, J. M. Chen, S. Wang, H. Fang, Z. Liu, G. Mo, and J. Liu. 2020. Importance of shaded leaf contribution to the total GPP of Canadian terrestrial ecosystems: evaluation of MODIS GPP. Journal of Geophysical Research: Biogeosciences, https://doi.org/10.1029/2020JG0059 17
388. Wang, S., Y. Zhang, W. Ju, J. M. Chen, P. Ciais, A. Cescatti, J. Sardans, I. A. Janssens, J. A. Berry, E. Campbell, S. Sitch, P. Friedlingstein, W. K. Smith, W. Yuan, W. He, M. Wu, D. Lombardozzi, M. Kautz, D. Zhu, S. Lienert, E. Kato, B. Poulter, T. G. M. Sanders, I. Krüger, R. Wang, N. Zeng, H. Tian, N. Vuichard, A. K. Jain, A. Wiltshire, V. Haverd, D. S. Goll, and J. Peñuelas. 2020. Recent global decline of CO2 fertilization effects on vegetation photosynthesis. Science, DOI: 10.1126/science.abb7772.
387. Fang, K., P. Zhang, J. M. Chen, and D. Chen, 2020. Co-varying temperatures at 200hpa over the three poles. Science in China, 64, 340–350.
386. Zheng, Y., R. Shen, Y. Wang, X. Li, S. Liu, S. Liang, J. M. Chen, W. Ju, L. Zhang, and W. Yuan, 2020. Improved estimate of global gross primary production for reproducing its long-term variation, 1982-2017. Earth System Science Data, 12, 1-22, https://doi.org/10.5194/essd-12-2020.
385. Wei, Q., J. Chen, J. M. Chen, J.-C. Yu, C.-P. Cheng, Y.-J. Lai, P.-N. Chiang, C.-Y. Hong, M.-J. Tsai, Y-N. Wang, 2020. Evaluating multi-spatiotemporal relationships of stock, LAI, NDVI and field data at a subtropical-tropical plain reforestation site in southern Taiwan. Journal of Forest Research DOI: 10.1080/13416979.2020.1783752.
384. Zhang Z., Y. Zhang, Y. Zhang, and J. M. Chen, 2020. Correcting clear-sky bias in gross primary production modelling from satellite solar-induced chlorophyll fluorescence data. Journal of Geophysical Research: Biogeosciences, DOI: 10.1029/2020JG005822.
383. Rogers, C., J. M. Chen, T. Zheng, H. Croft, A. Gonsamo, X. Luo, R. M. Staebler, 2020. The response of spectral vegetation indices and solar induced fluorescence to changes in illumination intensity and geometry in the days surrounding the 2017 North American Solar Eclipse. Journal of Geophysical Research: Biogeosciences, DOI: 10.1029/2020JG005774
382. Zhang, Z., Y. Zhang, Q. Zhang, J. M. Chen, A. Porcar-Castell, L. Guanter. 2020. Assessing bi-directional effects on the diurnal cycle of measured solar-induced chlorophyll fluorescence. Agricultural and Forest Meteorology (in press).
381. Dong, T., J. Liu, B. Qian, L. He, J. Liu, R. Wang, Q. Jing, C. Champagne, H. McNairn, J. Powers, Y. Shi, J. M. Chen, 2020. Estimating crop biomass using leaf area index derived from Landsat 8 and Sentinel-2 data. ISPRS Journal of Photogrammetry and Remote Sensing (in press)
380. Wang, J, J. M. Chen, L. Feng, J. Xu and F. Zhang, 2020. Redefining the directional-hemispherical reflectance and transmittance of needle-shaped leaves to address issues with existing measurement techniques. Photogrammetric Engineering and Remote Sensing (in press). 86(10):19-33. DOI: 10.14358/PERS.86.10.1
379. de Oliveira, G., J. M. Chen, G. A. V. Mataveli , M. E. D. Chaves , H. T. Seixas , F. da S. Cardozo , Y. E. Shimabukuro, L. He, S. C. Stark, C. A. C. dos Santos, 2020. Rapid Recent Deforestation Incursion in a Vulnerable Indigenous Land in the Brazilian Amazon and Fire-driven Emissions of Fine Particulate Aerosol Pollutants. Forests (in press).
378. de Oliveira, G., J. M. Chen, G. A. V. Mataveli, M. E. D. Chaves, J. Rao, M. Sternberg, Y. E. Shimabukuro, T. V. dos Santos, and C. A. C. dos Santos, 2020. Evapotranspiration and precipitation over pasture and soybean areas in the Xingu River Basin, an expanding Amazonian agricultural frontier. Agronomy,10, 1112; doi:10.3390/agronomy10081112.
377. Wang, X., J. M. Chen, and W. Ju, 2020. Photochemical Reflectance Index (PRI) can be used to improve the relationship between gross primary productivity (GPP) and sun-induced chlorophyll fluorescence (SIF). Remote Sensing of Environment (in press).
376. de Oliveira, G., J. M. Chen, S. C. Stark, E. Berenguer, P. Moutinho, P. Artaxo, L. O. Anderson, and L. E.O.C. Aragao, 2020. Deadly pre-existing conditions: deforestation and fire worsen COVID-19 in Amazonia. Science, 369: 634-635.
375. Li, D., J. M. Chen, T. Cheng, X. Zhang, Y. Yan, M. Jia, J. Zhu, N. Zhang, H. Zheng, K. Zhou, X. Yao; Y. Tian, Y. Zhu, W. Cao, 2020. Improved estimation of leaf chlorophyll content of row crops from canopy reflectance spectra through minimizing canopy structural effects and optimizing off-noon observation time. Remote Sensing of Environment (in press).
374. Lu, X., W. Ju, J. Li, H. Croft, J. M Chen and Y. Luo. 2020. Maximum carboxylation rate estimation with chlorophyll content as a proxy of RuBisCo. Journal of Geophysical Research: Biogeosciences (in press).
373. Wang, M., J. M. Chen and S. Wang, 2020. Reconstructing the seasonality and trend in global leaf area index during 2001- 2017 for prognostic modeling. Journal of Geophysical Research: Biogeosciences (in press).
372. Peng, G., B. Chen et al. (J. M. Chen among 70 authors), 2020. Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018. Science bulletin, 65: 182-187. http://doi.org/10.1016/j.scib. 2019.12.007.
371. Liu, J., B. Sleeter, Z. Zhu, T. Loveland, T. Sohl, S. Howard, C. Key, T. Hawbaker, S. Liu, B. Reed, M. Cochrane, L. Heath, H. Jiang, D. Price, J. M. Chen, D. Zhou, N. Bliss, T. Wilson, J. Sherba, Q. Zhu, B, Poulter, and Y. Luo, 2020. Critical land change information enhances understanding of carbon balance in the U.S. Global Change Biology, http://doi.org/10.1111/gcb.15079.
370. Chen, J. M., and J. Liu, 2020. Evolution of evapotranspiration models using thermal and shortwave remote sensing data. Remote Sensing of Environment, 237,111594. http://doi.org/10.1016/J.RSE.2019.111594.
369. Chen, J. M., J. Liu, and X. Luo, 2020. Modification of the Penman-Monteith ET model based on the principle of water and carbon cycle coupling. Transactions of Atmospheric Science, 43(1): DOI:10.13878/jcnki.dqkxx. 20191112007. (invited review paper in Chinese).
368. Dong, T., J. Shang, B. Qian, J. Liu, J. M. Chen, Q. Jing, B. McConkey, T. Huffman, C. Champagne, B. Daneshfar A. Davidson, D. MacDonald, 2019. Field-level crop seeding date estimation from MODIS data and growing degree days in Manitoba, Canada. Remote Sensing, http://doi.org/10.3390/ RS11151760.
367. Wang, H, F. Jiang, J. M. Chen, et al. Differences of the inverted terrestrial ecosystem carbon flux between using GOSAT and OCO-2 XCO2 retrievals. Atmospheric Chemistry and Physics, http://doi.org/10.5194/ACP-19-12067-2019
366. Dong, T., J. Shang, J. M. Chen, J. Liu, B. Qian, B. Ma, M. J. Morrison, C. Zhang, Y. Liu, Y. Shi, H. Pan. 2019. Assessment of portable chlorophyll meters for 3 measuring crop leaf chlorophyll concentration. Remote Sensing, 11, 2706; doi:10.3390/rs11222706.
365. Croft, H., J. Arabian, J. M. Chen, J. Shang, and J. Liu. Mapping within-field leaf chlorophyll content in agricultural crops for nitrogen management using Landsat-8 imagery. Precision Agriculture, DOI: 10.1007/s11119-019-09698-y
364. Chou, S., B. Chen, J. M. Chen, M. Wang, S. Wang, H. Croft, and Q. Shi. 2019. Estimation of leaf photosynthetic capacity from the photochemical reflectance index and leaf pigments. Ecological Indicators, DOI: 10.1016/J.ECOLIND.2019.105867.
363. Zhang, Z., J. M. Chen, L. Guanter, L. He, Y. Zhang, 2019. From Canopy-Leaving to Total Canopy Far-red Fluorescence Emission for Remote Sensing of Photosynthesis: First Results from TROPOMI. Geophysical Research Letters, DOI: 10.1029/2019GL084832.
362. Gonsamo, A., M. T. Ter-Mikaelian, J. M. Chen and J. Chen, 2019. Does earlier and increased spring plant growth lead to reduced summer soil mositure and plant growth on landscpes typical of tundra-taiga interface? Remote Sesning, 11(17), 1989, DOI: 10.3390/RS11171989.
361. Croft, H., J. M. Chen, G. Mo, S. Luo, X. Luo, J. Arabian, Y. Zhang, A. Simic, T. L., Noland, Y., He, L., Homolova, Z., Malenovsky, Q. Yi, J. Beringer, R. Amiri, L. Hutley, P. Arellano, C. Stahl, D. Bonal, Global distribution of leaf chlorophyll content. Remote Sensing of Environment, 236, 111479. https://doi.org/10.1016/j.rse.2019.111479.
360. Chou S., B. Chen, J. M. Chen, 2019. Multi-angular instrument for tower-based observations of canopy sun-induced chlorophyll fluorescence. Instrumentation Science and Technology. DOI: 10.1080/10739149.2019. 1674326.
359. Braghiere, R. K, T. Quaife, E. Black, L. He, and J. M. Chen. 2019. Underestimation of global photosynthesis in Earth System Models due to representation of vegetation structure. Global Biogeochemical Cycles, DOI: 10.1029/2018GB006135.
358. He, L., J. M. Chen, J. Liu, T. Zheng, R. Wang, J. Joiner, S. Chou, B. Chen, Y. Liu, R. Liu. 2019. Diverse photosynthetic capacity of global ecosystems mapped by satellite chlorophyll fluorescence measurements. Remote Sensing of Environment, 232, 111344, https://doi.org/10.1016/j.rse. 2019.111344.
357. Chen, J. M., W. M. Ju, P. Ciais, N. Viovy, R. Liu and Y. Liu. 2019. Vegetation structural change since 1981 significantly enhanced the terrestrial carbon sink. Nature Communications, 10:4259 | https://doi.org/10.1038/ s41467-019-12257-8.
356. Wang, R., J. M. Chen, X. Luo, A. Black, and A. Arain. 2019. Seasonality of leaf area index and photosynthetic capacity for better estimation of carbon and water fluxes in evergreen conifer forests. Agricultural and Forest Meteorology. doi.org/10.1016/j.agrformet .2019.107708.
355. Qiu, B, J. M. Chen, W. Ju, Q. Zhang, and Y. Zhang, 2019. Emission and scattering of solar-induced chlorophyll fluorescence in global vegetation with different canopy structures, Remote Sensing of Environment, 233, 111373. DOI: 10.1016/J.RSE.2019.111373.
354. Gonsamo, A., J. M. Chen, L. He, Y. Sun, C. Rogers, J. Liu, 2019. Exploring SMAP and OCO-2 observations to monitor soil moisture control on photosynthetic activity of global drylands and croplands. Remote Sensing of Environment. 232, 111314, doi.org/10. 1016/j.rse.2019.111314.
353. Wei, S., H. Fang, C. Schaaf, L. He, and J. M. Chen, 2019. Global 500 m clumping index product derived from MODIS BRDF data (2001-2017). Remote Sensing of Environment, 232, 111296, doi.org/10.1016/j.rse.2019. 111296.
352. Qiu, F., J. M. Chen, W. Ju, H. Croft, Y. Zhang, and J. Li. 2019. Retrieving leaf chlorophyll content by incorporating variable leaf surface reflectance in PROSPECT. Remote Sensing, 11(13), 1572.
351. Chen, B., J. M. Chen, D. D. Baldocchi, Y. Liu, T. Zheng, T. A. Black, and H. Croft. 2019. A new way to include soil water stress in terrestrial ecosystem models. Agricultural and Forest Meteorology, 276, 107649, https://doi.org/ 10.1016/j.agrformet.2019.107649.
350. Xu, M., R. Liu, J. M. Chen, Y. Liu, R. Shang, C. Wu, and W. Huang, 2019. Retrieving leaf chlorophyll content from Sentinel-2 images using 2-dimensional vegetation index matrixes. Remote Sensing of Environment, 224, 60-73, https://doi.org/10.1016/j.rse.201 9.01.039.
349. Canisius, F., S. Wang, H. Croft, S. G. Leblanc, H. A. J. Russell, J. M. Chen and R. Wang, 2019. A UAV-Based Sensor System for Measuring Land Surface Albedo: Tested over a Boreal Peatland Ecosystem. Drones, 3(1), 28; doi:10.3390/drones3010027.
348. Luo, X., H. Croft, J. M. Chen, L. He, and T. Keenan. 2019. Improved estimation of global photosynthesis using information on leaf chlorophyll content. Global Change Biology, DOI: 10.1111/gcb.14624.
347. Shan, N., W. Ju, M. Migliavacca, D. Martini, L. Guanter, J. M. Chen, Y. Goulas, Y. Zhang, 2019. Modeling canopy conductance and transpiration from solar-induced chlorophyll fluorescence. Agricultural Forest Meteorology, 268: 189-201.
346. Luo, X., T. Keenan, J. B. Fisher, J.-C. Jimenz, J. M. Chen, C. Jiang, W. Ju, N.-V. Parakalapudi, Y. Ryu, and J. M. Tadic, 2018. The impact of the 2015-2016 El Nino on global photosynthesis using satellite remote sensing. Philosophical Transactions of Royal Society B. 373 (1760), 20170409, doi.org/10.1098/rstb.2017.0409 .
345. Wu, C., X. Wang, H. Wang, P. Ciais, J. Penuelas, R. Myneni, A. Desai, C. Gough, A. Gonsamo, A. Black, R. Jassal, W. W. Yuan, Y. Fu, M. Shen, S. Li, R. Liu, J. M. Chen, and Q. Ge, 2018. Contrasting responses of autumn leaf coloration to daytime and nighttime warming. Nature Climate Change, 8, 1092-1096.
344. Wang, J., N. Zeng, M. Wang, F. Jiang, J. M. Chen, P. Friedingstein, A. K. Jain, Z. Jiang, W. Ju, S. Liener, J. Nable, S. Sitch, N. Viovy, H. Wang, and A. J. Wiltshire, 2018. Contrasting interannual atmospheric CO2 variabilities and their terrestrial mechanisms for two types of El Ninos. Atmospheric Chemistry and Physics. 18, 10333-10345, DOI: 10.5194/acp-18-10333-2018.
343. Wang, B., M. Li, W. Fan, T. Yu, J. M. Chen. 2018. Relationships between net primary productivity and forest stand age under different site conditions and its implication for regional carbon cycle study. Forests, 9, 5; DOI:10.3390/f9010005.
342. He, L., J. M. Chen, A. Gonsamo, R. Wang, X. Luo, Y. Liu, R. Liu, 2018. Changes in the Shadow: the Shifting Role of Shaded Leaf in Global Carbon and Water Cycles under Climate Change, Geophysical Research Letters, 45: 5052-5061, DOI: 10.1029/2018GL0 77560
341. Chen, J. M., L. Legendre, and R. Benner, 2018. A recent project shows that the microbial carbon pump is a primary mechanism driving ocean carbon uptake. National Science Review, doi: 10.1093/nsr/nwy006.
340. Qiu, F., J. M. Chen, W. Ju, J. Wang, Q. Zhang, and M. Fang, 2018. Estimating leaf mass per unit area in fresh leaves using a modified PROSPECT model. IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2018.2791930
339. Luo, S., J. M. Chen, C. Wang, X. Xi, S. Nie, and H. Qin, 2018. Comparative performances of airborne LiDAR height and intensity ofr leaf area index estimation. IEEE Journal of Special Topics on Applied Earth Observation and Remote Sensing, 11: 300-310, DOI: 10.1109/ISTARS. 2017.2765890.
338. Cai Z., F. Jiang, J. M. Chen, Z. Jiang, X. Wang, 2018. Weather Condition Dominates Regional PM2.5 Pollutions in the Eastern Coastal Provinces of China during Winter, Aerosol and Air Quality Research, 2018, 18, 969-980, DOI: 10.4209/aaqr.2017.04.0140.
337. Yu, Y., J. M. Chen, W. Fan, X. Yang, M. Li, and L. He, 2018. Influence of site index on the relationship between forest net primary productivity and stand age, PLOS ONE 12(5), 2017: e0177084. https://doi.org/10.1371/ journal.pone.0177084.
336. Luo, X., J. M. Chen, J. Liu, T. A. Black, H. Croft, R. Staefler, L. He, M. A. Arain, B. Chen, G. Mo, A. Gonsamo, and H. McCaughey, 2018. Compare big-leaf, two-big-leaf and two-leaf upscaling schemes for evapotranspiration estimation using coupled carbon-water modeling. Journal of Geophysical Research-Biogeosciences, DOI: 10.1002/2017JG003 978.
335. Gonsamo. A., J. M. Chen and Y. W. Ooi, 2018. Peak season plant activity shift towards spring is reflected by increasing carbon uptake by extratropical ecosystems. Global Change Biology, 24: 2117-2128.
334. Ma, Q., Y. Li, J. Liu, J. M Chen,. 2017. Long temporal analysis of 3-km MODIS aerosol product over East China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10 (6), 2478-2490.
333. Huang, F., W. Zhan, Z. Wang, K. Wang, J. M. Chen, Y. Liu, and W. Ju, 2017. Positive or Negative? Urbanization-induced variation in diurnal skin-surface temperature range using satellite data. Journal of Geophysical Research: Atmospheres. DOI: 10.1002/2017JD027021
332. Ji, X. B., J. M. Chen, W. Z. Zhao, E. S. Kang, B. W. Jin, S. Q. Xu, 2017. Comparison of hourly and daily Penman-Monteith grass- and alfalfa-reference evapotranspiration equations and crop coefficients for maize under arid climatic conditions. Agricultural Water Management, 192: 1-11.
331. Wang, R., J. M. Chen, Z. Liu, and A. Arain, 2017. Evaluation
of seasonal variations of remotely sensed leaf area index
over five evergreen coniferous forests. ISPRS Journal of Photogrammetry
and Remote Sensing, 130: 187-201. https://doi.org/10.1016/j.isprsjprs .2017.05.017.
330. He, L., J. M. Chen, H. Croft, A. Gonsamo, X. Luo, J. Liu, R. Liu, Y. Liu, 2017. Nitrogen availability dampens optimism
for the positive impacts of CO2 fertilization on terrestrial
ecosystem carbon and water cycles. Geophysical Research Letters, DOI: 10.1002/2017GL075981..
329. Luo, X., H. Croft, J. M. Chen, P. Bartlett, R. Staebler,
and N. Froelich, 2017. Incorporating leaf chlorophyll content
into a terrestrial biosphere model for estimating carbon and
water fluxes at a forest site. Agricultural and Forest Meteorology,
248: 156-168.
328. Chen, Z., J. M. Chen, S. Zhang, X. Zheng, W. Ju, G.
Mo, and X. Lu, 2017. Optimization of terrestrial ecosystem
model parameters using atmospheric CO2 concentration data
with a global carbon assimilation system (GCAS). Journal of
Geophysical Research-Biogeosciences, 122. https://doi.org/
10.1002/2016JG003716
327. Gonsamo, A., J.-M. Walter, J. M. Chen, P. Pellikka,
and P. Schlepp, 2017. A robust leaf ara index algorithm accounting
for the expected errors in gap fraction observations. Agricultural
and Forest Meteorology, 248:197-204.
326. Dugan, A. J., R. Birdsey, S. P. Healey, Y. Pan, F. Zhang,
G. Mo, J. M. Chen, C. Woodall, A. J. Hernandez, K. McCullough,
J. B. McCarter, C. L. Raymond, and K. Dante-Wood, 2017. Forest
Sector Carbon Analyses Support Land Management Planning and
Projects: Assessing the Influence of Anthropogenic and Natural
Factors. Climatic Change, DOI: 10.1007/s10584-017-2038-5.
325. Chou, S., J. M. Chen, H. Yu, B. Chen, X. Zhang, H. Croft,
S. Khali , M, Li and Q. Shi, 2017. Canopy-level photochemical
reflectance index from hyperspectral remote sensing and leaf-level
non-photochemical quenching as early indicators of water stress
in maize. Remote Sensing, 9(8): 794.
324. Dong, T., J. Liu, Budong, Qian, Qi. Jing, H. Croft,
J. M. Chen, J. Wang, T. Huffman, J. Shang, and P. Chen, 2017.
Deriving maximum light use efficiency from crop worth model
and satelliete data to improve crop biomass estimation. IEEE
journal of Selected Topics in Applied Earth Observation and
Remote Sensing, 10(1): 104-117, DOI: 10.1109/JSTARS.2016.2605303.
323. Geng, J., J. M. Chen, W. Fan, L. Tu, Q. Tian, Z. Wu,
R. Yang, Y. Yang, L. Wang, X. Wang, C. Lv, and S. Wu, 2017.
GOFP: A geometric-optical model for forest plantations. IEEE
Transactions on Geoscience and Remote Sensing, 55(9), DOI:
10.1109/TGRS.2017 .2704079.
322. He, L., J. M. Chen, J. Liu, S. Belair, and X. Luo, 2017.
Assessment of SMAP soil moisture for global simulations of
gross primary production. Journal of Geophysical Research-Biogeosciences,
DOI: 10.1002/2016JG003603. .
321. He, L., J. M. Chen, J. Liu, and G. Mo. 2017. Angular
Normalization of GOME-2 Sun-induced Chlorophyll Fluorescence
Observation as a Better Proxy of Vegetation Productivity.
Geophysical Research Letters, 44, DOI:10.1002/2017GL073708.
320. Zhou, Y., T. Hilker, W. Ju, N. C. Coops, T. A. Black,
J. M. Chen, and X. Wu, 2017. Modeling gross primary production
for sunlit and shaded canopies across an evergreen and a deciduous
site in Canada. IEEE Transactions on Geoscience and Remote
Sensing, 55: 1859-1873. DOI: 10.1109/TGRS2016.2615102.
319. Zhu, Q., C. P. Peng, P. Ciais, H. Jiang, J. Liu, P.
Bousquet, S. Li, J. Chang, X. Fang, X. Zhou, H. Chen, S. Liu,
G. Lin, P. Gong, M. Wang, H. Wang, W. Xian, J. M. Chen, 2017.
Interannual variation of methane emissions in tropical wetlands
is triggered by repeated El Nino southern oscillation. Global
Change Biology, DOI:10.1111/gcb.13726
318. Gonsamo, A., J. M. Chen, S. J. Colombo, M. T. Ter-Mikaelian,
J. Chen, and F. Zhang. 2017. Global change induced biomass
growth offsets carbon releases through increased forest fire
and respiration of the central Canadian boreal forest. Journal
of Geophysical Research-Biogeosciences, 122: 1275-1293, DOI:10.1002/2016JG00362732
317. Mao, K. B., Y. Ma, X. L. Tan, X. Y. Shen, G. Liu, Z.
L. Liu, J. M. Chen, and L. Xia, 2017. Global surface temperature
change analysis based on MODIS data in recent twelve years.
Advances in Space Research, 59: 503-512.
316. Wang, B. J., J. M. Chen, W. Ju, F. Qiu, Q. Zhang, M.
Fang, and F. Chen, 2017. Limited effects of water absorption
on reducing the accuracy of leaf nitrogen estimation. Remote
Sensing, 9(3), 291, DOI:10.3390/rs9030291..
315. Zhang Q., J. M. Chen, W. Ju, H. Wang, F. Qiu, F. Yang,
W. Fan, Q. Huang, Y-P. Wang, Y. Feng, X, Wang, and F. Zhang,
2017. Improving the ability of the photochemical reflectance
index to track canopy light use efficiency through differentiating
sunlit and shaded leaves. Remote Sensing of Environment, 194:1-15,
DOI: 10.1016/j.rse.2017.03. 012.
314. Chen, J. M., G. Mo, and F. Deng. 2017. A joint global
carbon inversion system using both CO2 and 13CO2 atmospheric
concentration data. Geoscientific Model Development, 10: 1131-1156,
DOI:10.5194/gmd-10-1131-2017.
313. Liu, Y., R. Liu, J. Pisek, and J. M. Chen, 2017. Separation
of overstory and understory leaf area indices for global needleleaf
and deciduous broadleaf forests by fusion of MODIS and MISR
data. Biogeosciences, DOI:10.5194/bg-2016-448.
312. Gonsamo, A., D'Odorico, P., J. M. Chen, C. Wu, and N.
Buchmann, 2017. Changes in vegetation phenology are not reflected
in atmospheric CO2 and 13CO2 seasonality. Global Change Biology,
DOI: 10.111/gcb.13646.
311. Zheng, T., J. M. Chen, L. He, M. A. Arain, S. Thomas,
J. G. Murphy, J. A. Geddes, T. A. Black, 2017. Inverting the
maximum carboxylation rate (Vcmax) from the sunlit leaf photosynthesis
rate derived from measured light response curves at tower
flux sites. Agricultural and Forest Meteorology, 236: 48-66,
DOI: 10.1016/j.agrformet.2017.01.008.
310. He, L., J. M. Chen, K.-S. Chen, 2017. Simulation and
SMAP observation of Sun-glint over the land surface at the
L-band. IEEE Transactions on Geoscience and Remote Sensing,
55(4), DOI:10.1109/TGRS.2017.2648502.
309. Croft, H., J. M. Chen, X. Luo, P. Bartlett, B. Chen,
and R. M. Staebler, 2017. Leaf chlorophyll content as a proxy
for leaf photosynthetic capacity. Global Change Biology, 23(9):
1365-1386, DOI:10.111/geb.13599.
308. Zheng T., and J. M. Chen, 2017. Photochemical reflectance
ratio for tracing light use efficiency for sunlit leaves in
two forest types. ISPRS Journal of Photogrammetry and Remote
Sensing, 123:47-68.
307. Jiao, Z., C. B. Schaaf, Y. Dong, M. Roman, M. J. Hill,
J. M. Chen, Z. Wang, H. Zhang, E. Saenz, R. Poudyzalm C. Gatebe,
F.-M. Breon, X. Li, and A. Strahler, 2016. A method for improving
hotspot directional signatures in BRDF models used for MODIS.
Remote Sensing of Environment, 186: 135-151.
306. Wang, R., J. M. Chen, Z. Liu, and A. Arain. 2016. Validating
seasonal variations of remotely sensed leaf area index over
five evergreen coniferous forests. ISPRS Journal of Photogrammetry
and Remote Sensing, 119:32-48. DOI:10.1016/j.isprsjprs.2016.05.003
305. Zhang, F., Y. Pan, R. A. Birdsey, J.
M. Chen, and A. Dugan, 2016. Seeking potential
contributions to future carbon budget in conterminours
US forests considering disturbances. Theoretical and Applied
Climatology, DOI: 10.1007/s00704-016-1936-1.
304. Gonsamo A., J. M.
Chen, D.T. Shindell and G.P. Asner,
2016. Coherence among land, cryosphere, and ocean responses to
anthropogenic and natural forcing.
Earth Systems Dynamics, 7(3):717-734. DOI:10.5194/esd-7-717-2016
.
303. Gonsamo A., J.
M. Chen, and D. Lombardozzi, 2016. Global vegetation productivity response to climatic oscillations
during the satellite era. Global
Change Biology, 22: 3414-3426. DOI:10.1111/gcb.13258.
302. Luo, S., J. M. Chen, X. Xi, and
D. Peng, 2016. Effects
of LiDAR point density, sampling size and height
threshold on estimation accuracy of crop biophysical parameters. Optical Express,
24(11): 11578, DOI:10.1364 /OE.24.0011578.
301. Gonsamo, A., and J.M. Chen. 2016. Circumpolar products
of vegetation dynamics productivity. Remote
Sensing of Environment, 182: 13-26, DOI:10.1016/j.rse.2016.04.022.
300. Geng, J., J.
M. Chen, L. Tu, Q. Tian,
R. Yang, Y. Yang, C. Lv, W. Fan, and G. Zheng, 2016.
Influence of exclusion distance among trees on gap fraction and foliage
clumping index in forest plantations. Trees, 30: 1683-1693.
299. Peng, C., X. Song, H. Jiang, Q. Zhu, H. Chen, J. M. Chen,
P. Gong, C. Jie, W. Xiang, G. Yu, X. Zhou, 2016. Towards a
Paradigm for Open and Free Sharing of Scientific Data on Global Change Science in
China. Ecosystem Health and
Sustainability (in press)
298. Chen, Y.
S. Mu, Z. Sun, C. Gang, J. Li, J. Padarian, P. Groisma, J. M. Chen, and S. Li, 2016. Grassland carbon
sequestration ability in China: a new perspective from terrestrial aridity
zones. Rangland Ecology and Management, 69: 84-94.
297. Abbott, B. W., J. B. Jones et
al. (J. M. Chen among 89 authors). 2016. Biomass
offsets little or none of permafrost carbon release from soils, streems and wildfire: an expert assessment. Ecological Research Letters,
11(3): 034014, DOI:10.1088/1748-9326/11/3/034014
296. Pisek, J., J. M. Chen, H. Kobayashi, M. Rautiainen,
M. E. Schaepman, A. Karnieli,
M.Sprinstin, Y.Ryu, M. Nikopensius, and K. Raabe, 2016. Retrieval of seasonal
dynamics of forest understory reflectance from semi-arid to boreal forests
using MODIS BRDF data. Journal of
Geophysical Research-Biogeosciences, DOI: 10.1002/2016JG003322.
295. Liu, Y.,
C. Wu, D. Peng, S. Xu, A. Gonsamo, R. S. Jassal, M. A, Arain, L. Lu, B. Gang, and J. M. Chen, 2016,
Improved modeling of land surface phenology using
MODIS land surface reflectance and temperature at evergreen needleleaf
forests of central North America. Remote
Sensing of Environment, 176: 152-162.
294. He, L., J. Liu, J. M. Chen, R.
Wang, M. Sprintsin, H. Croft, T. Zheng,
Y. Ryu, J. Pisek, A. Gonsamo, F. Deng, and Y. Zhang, 2016. Inter- and
intra-annual variations of clumping index derived from the MODIS BRDF product, International Journal of Applied Earth
Observation and Geoinformation, 44: 53-60.
293. Chen, B., J. Liu,J. M. Chen, L. He, and X. Luo, 2016. Effects of foliage clumping on the estimation
of evapotranspiration over forests. Agricultural and Forest Meteorology, 216: 82-92.
292. Jiang, F. J. M. Chen, L. X.
Zhou, W. M. Ju, H.F. Zhang, T. Machida, P. Ciais, W. Peters, H.M. Wang, B.Z., Chen, L.X. Liu, C.H.,
Zhang, 2016. A comprehensive estimate of recent carbon sink in China using both
top-down and bottom-up methods. Scientific
Reports, DOI: 10.1038/srep22130.
291. Wang,
Y., G. Li, J. Ding, Z. Guo, S. Tang, R. Liu, J. M.
Chen, 2016. A combined GLAS and MODIS estimation of the global distribution
of mean forest canopy height. Remote
Sensing of Environment, 174: 24-43.
290. Zhang, Q., W. Ju,
J. M. Chen, H. Wang, F. Yang, W. Fan, Q. Huang, T. Zheng,
Y. Feng, Y. Zhou, M. He, F. Qiu, X. Wang, J. Wang, F. Zhang and S. Chou. 2015. Ability of the photochemical
reflectance index to track light use efficiency for a sub-tropical planted
coniferous forest. Remote Sensing, 7: 16938-16962, DOI:10.3390/rs71215860..
289. Zhou, Y., X. Wu, W. Ju, J.
M. Chen et al., 2015. Global parameterization and validation of a two-leaf
light use efficiency model for predicting gross primary production across
FLUXNET sites. Journal of Geophysical
Research-Biogeosciences, DOI:10.1002/2014JG002876.
288. Froelich, N., H. Croft, J. M. Chen, A.
Gonsamo, and R. M. Staebler,
2015. Trends of carbon, water and energy fluxes over a
mixed temperate-boreal transition forest in southern Ontario, Canada.
Agricultural and Forest Meteorology, 211-212, 72-84. DOI:10.1016/j.agrformet.2015.05.009
287.
Zhang, C., W. Ju, J. M. Chen, X. Wang, L.
Yang, G. Zheng, 2015. Disturbance-induced reduction
of biomass carbon sinks of China's forests in recent years. Environmental Research Letters, DOI:10.1088/1748-9326/10/11/114021.
286.
Chen, Z., J. M. Chen, X. Zheng, F. Jiang, J.
Qin, S. Zhang, W. Yuan, W. Ju, and G. Mo, 2015. Optimizing
photosynthetic and respiratory parameters based on the seasonal variation
pattern in regional net ecosystem productivity obtained from atmospheric
inversion. Science Bulletin, 60: 1954-1961
285. Liu, Z. L., J.
M. Chen, G. Z. Jin, and Y. J. Qi. 2015. Estimation of seasonal variations of
leaf area index using both litter fall collection and optical methods in four
mixed evergreen-deciduous forests. Agricultural and Forest Meteorology, 209: 36-48.
284.
Gonsamo A. and J.M. Chen, 2015. Winter teleconnections can predict the ensuing summer
European crop productivity. Proceedings of the National Academy of Sciences, 112, E2265-E2266.
283. Croft, H., J. M. Chen,
N. Froelich, B.
Chen, and R. M. Staebler, 2015. Seasonal controls of canopy chlorophyll content on forest carbon
uptake: Implications for GPP modelling. Journal of Geophysical Research-Biogeosciences, doi:10.1002/2015JG002980
282. Liu, Z. L, C. K. Wang, J. M. Chen, X.
C. Wang, and G. Z. Jin. 2015. Using
direct and indirect methods to estimate the seasonal changes in leaf area index
in deciduous broadleaf forests. Forest
Ecology and Management, 351: 67-77.
281.
Zhang, S., X. Zheng, J. M. Chen, Z. Chen, B. Dan, X. Yi, L. Wang,
and G. Wu. 2015. A global carbon assimilation system using a modified EnKF assimilation method. Geoscientific Model Development, 8: 805-816, DOI:10.5194/gmd-8-805-2015.
280. Gonsamo, A.,
J.M. Chen, and P. D'Odorico, 2015. Underestimated role of East Atlantic-West Russia Pattern on
Amazon vegetation productivity. Proceedings of the National Academy of
Sciences, 112, E1054-E1055.
279.
Zhang, F., J. M. Chen,
Y. Pan, R. Birdsey, W. Ju, S.
Shen, , and A. Dungan
(2015), Impacts of inadequate historical disturbance
data in the early 20th century on modeling recent carbon dynamics
(1951-2010) in conterminous US forests, Journal
of Geophysical Research-Biogeosciences DOI: 10.1002/2014JG002798
278.
Liu,
Z. L, X. C.Wang, J. M. Chen, C. K. Wang, and G. Z. Jin. 2015.
On improving the accuracy of digital hemispherical photography measurements of
seasonal leaf area index variation in deciduous broadleaf forests. Canadian Journal for Forest Research,
DOI: 10.1139/cjfr-2014-0351.
277.
Zheng, H.,
Y. Li, J. M. Chen, T. Wang, Q. Huang, W.
Huang, L. Wang, S. Li, W. Yuan, X. Zheng, S. Zhang, Z. Chen, and F.
Jiang, 2015. A
global carbon assimilation system based on a dual optimization method. Biogeosciences,12, 1131-1150.
276. Croft, H., J. M.
Chen, Y. Zhang, A. Simic, T.L. Noland, N. Nesbitt, and J. Arabian, 2015.Evaluating leaf chlorophyll content prediction from multispectral
remote sensing data within a physically-based modelling
framework. ISPRS Journal of Photogrammetry and Remote
Sensing, 102: 85-95.
275.Liu, L. Z., G. Z. Jin, J. M. Chen, Y. J. Qi. 2015. Evaluating optical measurements of leaf area
index against litter collection in a mixed broadleaf-Korean pine forest
in China. Trees, 29: 59-73.
274.
Chen, J. M., J. Fung,
G. Mo, F. Deng, and T. West. 2015. Atmospheric inversion of the global surface
carbon flux with consideration of the spatial distribution of US crop
production and consumption. Biogeosciences, 12, 323-343.
273.
Gonsamo A., H. Croft, J. M. Chen, C. Wu and
R. Staebler, 2015. Radiation contributed more than temperatureto increased decada,
autumn and annual carbon uptake of two eastern North America mature forests. Agricultural and Forest Meteorology, 201,
8-16.
272. Jiang, F., H. M. Wang, J. M. Chen, T. Machida, L. X. Zhou, W. M. Ju, H. Matsueda, and Y. Sawa, 2014.
Carbon balance of China constrained by CONTRAIL aircraft CO2
measurements, Atmospheric Chemistry and
Physics, 14: 10133-10144.
271.Chang K, D. Price, J.
M. Chen, W. Kurz, C. Boisvenue,
E. Hogg, A. Gonsamo, and C. Wu. 2014. Simulating impacts of water
stress on biomass in the southern boreal region of western Canada using a
dynamic vegetation model. Agricultural
and Forest Meteorology, 198:
142-154.
270.He, L., J. M. Chen, J. Liu, G. Mo, S. Belair,
T. Zheng, R. Wang, B. Chen, H. Croft, M. A. Arain, and A. G. Barr, 2014. Optimization of water
uptake and photosynthetic parameters in an ecosystem model using tower flux
data, Ecological Modelling,294: 94-104
269. Wu, C., A. Gonsamo, F. Zhang, J. M.
Chen. 2014. The potential of the greenness and radiation (GR) model to interpret
8-day gross primary production of vegetation. ISPRS Journal of Photogrammetry and Remote
Sensing, 88: 69-79.
268. Wang, F., A. Gonsamo, J. M. Chen, T. A.
Black, and B. Zhou. 2014. Instantaneous-to-daily GPP upscaling
schemes based on a coupled photosynthesis-stomatal
conductance model: correcting the overestimation of GPP by directly using daily
average meteorological inputs. Oecologia, DOI 10.1007/s00442-014-3059-7.
267. Wang,
F., J.M. Chen, A. Gonsamo, B.
Zhou, F.-F. Cao & Q.-X Yi. 2014. A two-leaf rectangular hyperbolic model
for estimating diurnal and seasonal GPP across vegetation types and climate
conditions. Journal of Geophysical
Research-Biogeosciences, 119, DOI:10.1002/2013JG002596.
266. Croft, H., J. M. Chen,
and T. Noland. 2014. Stand age effects on Boreal forest physiology using a long time-series of satellite data. Forest Ecology and Management 328: 202-208.
265. Zhu, G.,
W. Ju, J. M. Chen, Y. Liu, 2014. A noval moisture adjusted vegetation index (MAVI) to reduce
background reflectanc and topographical effects on
LAI retrieval. PLoS ONE, 9(7):e10256, DOI:10.1371 /journal.pone.0102560.
264. Croft, H., J. M. Chen, and
Y. Zhang, 2014. Temporal
disparity in leaf chlorophyll content and leaf area index across a growing
season in a temperate deciduous forest. International Journal of Applied Earth Observation
and Geoinformation, 33:312-320.
263.Fisher, J. B., M. Sikka, W.C. Oechel, D.N. Huntzinger, J.R.
Melton, C.D. Koven, A. Ahlstrom,
A.M. Arain, I. Baker, J.M. Chen, P. Ciais, C. Davidson, M. Dietze, B.
El-Masri, D. Hayes, C. Huntingford,
A. Jain, P.E. Levy, M.R. Lomas, B. Poulter, D. Price,
A.K. Sahoo, K. Schaefer, H. Tian,
E. Tomelleri, H. Verbeeck,
N. Viovy, R. Wania, N. Zeng, and C.E. Miller. 2014. Carbon cycle uncertainty in
the Alaskan Arctic. Biogeosceinces
11, 4271-4288
262. Yuan, W. et al. (J.
M. Chen among 22 authors). 2014. Differentiating moss from higher plants is
critical in studying the carbon cycle of the boreal biome. Nature Communication, DOI: 10.1038/ncomms5270.
261. Zhang C., W. Ju, J. M. Chen, D. Li, X. Wang, W. Fan, M. Li., and
W. Zan. 2014. Mapping forest stand age in China using
remotely sensed forest height and observation data. Journal of Geophysical Research-Biogeosciences. DOI: 10.1002/2013JG002515.
260. Wu, C., D. Gaumont-Guay, T. A. Black, R.S. Jassal,
S. Xu, J. M. Chen, A. Gonsamo,
2014. Soil respiration mapped by exclusively use of MODIS data for
forest landscapes of Saskatchewan, Canada. ISPRS Journal of Photogrammetry and Remote Sensing, 94:80-90.
259. Liu, Y. B., Y. L.,
Zhou, W. M., Ju, J.M., Chen, S. Q.,
Wang, H. L., He, D. Guan, F. Zhao, Y. Li, and Y. Hao. 2014. Changes of evapotranspiration and water
balance in China's terrestrial ecosystems during the period from 2000 to 2010. Hydrology and Earth System Sciences 17: 4957-4890.
258. Zheng,
H., Y. Li, J. M. Chen, T. Wang, H. Qing, and S. Yao, 2014. Applying a dual optimization method to quantify carbon fluxes:
recent progress in carbon flux inversion. Chinese Science Bulletin, 59: 222-226, doi:10.1007/s11434-013-0016-5.
257. Fan, W., J. M.
Chen, W. Ju, and N. Nesbitt. 2014. Hybrid Geometric Optical-Radiative
Transfer Model Suitable for Forests on Slopes. IEEE Transactions on Geoscience and Remote
Sensing, 52(9): 5579-5586.
256. Jiao T., R. Liu, Y. Liu, J. Pisek, J. M.
Chen, 2014. Mapping global seasonal forest background
reflectivity with multi-angle imaging spectraRadiameter
(MISR) data. Journal of Geophysical Research- Biogeosciences.
DOI10.1002/2013JG002493.
255. Wu, C., A. Gonsamo, C. M. Gough, J. M. Chen, and S. Xu.
2014. Modeling growing season phenology of
North American forests using seasonal mean vegetation indices from MODIS. Remote Sensing of Environment, 147,
79-88.
254. Gonsamo, A. and J.M. Chen, 2014. Continuous observation
of leaf area index at Fluxnet-Canada sites. Agricultural and Forest Meteorology, 189, 168-174.
253. Wu, C.,R. A. Hember, J. M. Chen, W.
A. , D. T. Price, A. Gonsamo, and C. Boisvenue
C. 2014. Accelerating forest growth enhancement due to climate and atmospheric
changes in British Colombia, Canada over 1956-2001. Scientific Report, 4: 4461-4465. DOI:
10.1038/srep04461.
252. Yi, Q., G. Jiapaer, J. M. Chen, A. Bao,
and F. Wang, 2014. Different units of measurement of carotenoids estimation in cotton using hyperspectral
indices and partial least square regression. ISPRS Journal of Photogrammetry and Remote
Sensing,91: 72-84.
251. Zhang,
H. K., J. M. Chen, B. Huang,
H. Song, and Y. Li, 2014. Fusing Landsat
and MODIS data for retrieving the seasonal variation of leaf area index at the Landsat resolution. IEEE Journal of Selected Topics of Applied Earth Observation and Remote
Sensing, 7: 950-960.
250. Fan,
W., J. M.
Chen, W. Ju, and G. Zhu. 2014. GOST: geometric optical model for
sloping terrains. IEEE Transactions on Geoscience and Remote Sensing, 52: 5469-5482 .
249. Wu, C., and J. M. Chen, 2014. Reconstruction
of interannual variability of NEP using a
process-based model (InTEC) with climate and
atmospheric records at Fluxnet-Canada forest sites.
International Journal of Climatology,
34: 1715-1722.
248. Simic, A., J. M. Chen, S. Leblanc, A.
Dyk, H. Croft, and T. Han, 2014. Testing the top-down
model inversion method of estimating leaf reflectance used to retrieve
vegetation biochemical content within the empirical approach. IEEE Journal of Selected Topics of Applied Earth
Observation and Remote Sensing, 7: 92-104.
247. Croft, H., J. M. Chen, Y. Zhang, 2014. The applicability of empirical vegetation indices for determining
leaf chlorophyll content over different leaf and canopy structures. Ecological Complexity, 17: 119-130..
246. Gonsamo, A., and J. M. Chen, 2014. Improved LAI algorithm implementation to MODIS data by
incorporating background, topography and foliage clumping information. IEEE Transactions on Geoscience and Remote Sensing, 52: 1076-1088.
245. Jiang, F., H. Wang, J.
M. Chen, L. X. Zhou, W. Ju, A, Ding, L.X. Liu, W.
Peters, 2013. Nested Atmospheric Inversion for the
Terrestrial Carbon Sources and Sinks in China. Biogeosciences,
10,
5311-5324, DOI:10.5194/bg-10-5311-2013
244. He, M. Z, W. M. Ju, Y. L. Zhou, J. M. Chen, H. L. He, S. Q. Wang, H.
M. Wang, D. X. Guan, J. H. Yan,Y. N. Li, Y. B. Hao, and F. H. Zhao. 2013. Development of a two-leaf light
use efficiency model for improving the calculation of terrestrial gross primary
productivity. Agricultural and Forest Meteorology, 173: 28-39.
243. Deng, F., J. M. Chen, Y. Pan, W. Peters,
R. Birdsey, K. McCullough and J. Xiao.
2013. The use of forest stand age information in an atmospheric CO2
inversion applied to North America. Biogeosciences, 10 (8):5335-5348. DOI:10.5194/bg-10-5335-2013
242. Gonsamo A., J.M. Chen, C. Boisvenue, W.A.
Kurz, D.T. Price, C. Wu, R.A. Hember & K.H. Chang, 2013.
Improved assessment of gross and net primary productivity
of Canada's landmass. Journal of Geophysical Research. Biogeosciences
118: 1546-1560.
241. Liu, M., H. Wang, H., T. Oda, Y. Zhao. X. Yang, R. Zang,
B. Zang, J. Bi, and J. M. Chen. 2013. Refined estimate
of China's CO2 emissions in spatiotemporal distributions.
Atmospheric Chemistry and Physics, 13: 10873-10882.
 Full
pdf file
240. Stoy, P. C., M. Dietze, A.D. Richardson, R. Vargas,
A.G. Barr, R.S. Anderson, M.A. Arain, I.T. Baker, T.A. Black,
J.M. Chen, R.B. Cook, C.M. Gough, R.F. Grant, D.Y.
Hollinger, C. Izaurralde, C.J. Kucharik, P. Lafleur, B.E.
Law, S. Liu, E. Lokupitiya, Y. Luo, J.W. Munger, C. Peng,
B. Poulter, D.T. Price, D.M. Ricciuto, W.J. Riley, A.K. Sahoo,
K. Schaefer, C.R. Schwalm, H. Tian, H. Verbeeck, and E. Weng.
2013. Evaluating the agreement between measurements and models
of net ecosystem exchange at different times and time scales
using wavelet coherence: An example using data from the North
American Carbon Program Site-Level Interim Synthesis. 10:
6983-6909. doi:10.5194/bg-10-6893-2013.
239. Gonsamo A., J. M. Chen, and C. Wu. 2013.
Citizen Science: linking the recent rapid advances of plant
flowering in Canada with climate variability. Scientific
Report, 3 : 2239, DOI: 10.1038/srep02239
Full
pdf file
238. Chen, J, M, Chen, X. F., and W. Ju. 2013.
Effects of Vegetation Heterogeneity and Surface Topography
on Spatial Scaling of Net Primary Productivity. Biogeosciences,
10, 4879�4896
Full
pdf file.
237. Yang,J., P. Gong, R.Fu, M. Zhang, J. M. Chen,
S. Liang, B. Xu, J. Shi, and R. Dickinson, 2013.
The role of satellite remote sensing in climate change studies.
Nature Climate Change, 15 SEPTEMBER 2013 | DOI: 10.1038/NCLIMATE1908.
Full
pdf file
236. Wang, Z. R. F Grant, A. Arain, P. Bernier, B. Chen,
J. M. Chen, A. Govind, L. Guindon, W. A Kurz, C Peng,
D. T. Price, G. Stinson; J. Sun, J. A. Trofymow, J. Yeluripati,
2013. Incorporating weather sensitivity in inventory-based
estimates of boreal forest productivity: a meta-analysis of
process model results. Ecological Modeling, 260(0):
25-35.
235. Wu, C., Gough, C.M., Gonsamo, A., J.
M. Chen. 2013. Evidence of autumn phenology control on
annual net ecosystem productivity in two temperate deciduous
forests. Ecological Engineering, 60, 88-95.
234. Fang, H., C. Jiang,,W. Li, S. Wei, F. Baret, J. M. Chen, J. Garcia-Haro, S. Liang, R. Liu, R. B. Myneni, B. Pinty, Z. Xiao, and Z Zhu, 2013. Characterization and intercomparison of global moderate resolution leaf area index (LAI) products: Analysis of climatologies and theoretical uncertainties. Journal
of Geophysical Research - Biogeoscience, DOI:10.1002/jgrg.20051.
233. Croft, H, J. M. Chen, Y. Zhang, and A. Simic, 2013. Modelling leaf chlorophyll
content in broadleaf and needle leaf canopies from ground, CASI, Landsat and MERIS reflectance data. Remote Sensing of Environment, 113: 128-140.
232. Wu, C., J. M. Chen, T. A. Black, D. T. Price, W. A. Kurz, A. R. Desai, A. Gonsamo, R. S. Jassal, C. M. Gough, G. Bohrer, D. Dragoni, M. Herbst, B Gielen, F. Berninger, T. Vesala, I. Mammarella, K. Pilegaard and P. D. Blanken, 2013. Interannual variability of net ecosystem productivity in forests is explained by carbon flux phenology in autumn. Global Ecology and Biogeography, 22: 994-1006.
231. Vargas, R., O. Sonnentag, G. Abramowitz, A. Carrara, J. M. Chen, P. Ciais, A.
Correia, T. Keenan, H. Kobayashi, J.-M. Ourcival, D. Papale, D., Pearson, J.
Pereira, S. Piao, S. Rambal, and D. Baldocchi, 2013. Drought Influences the
Accuracy of Simulated Ecosystem Fluxes: A Model-Data Meta-analysis for
Mediterranean Oak Woodlands. Ecosystems, 1-16.
230. Gonsamo, A., J. M. Chen and P. D'Odorico. 2013. Deriving land surface phenology indicators from CO2 eddy covariance measurements. Ecological Indicators 29: 203-207.
229. Zhang, C. H., W. M. Ju, J. M. Chen, M. Zan, D. Li, Y. Zhou, and X. Wang. 2013. Biotic driving
forces for China's forest biomass carbon sink based on seven inventories from
1973 to 2008. Climate Change, 101: 33-51.
228. Houweling, S. et al. (J. M. Chen among 52 authors). 2013. Iconic CO2 time series at risk. Science, 337: 1038-1040, DOI:10.1126/science.337.6098.1038-b
227. Gonsamo, A., J. M. Chen, W. Kurz, D. Price and C. Wu. 2013. Land surface
phenology index from optical satellite measurements and CO2 eddy flux observations. Journal of Geophysical Research-Biogeosciences. VOL. 117, G03032, doi:10.1029/2012JG002070.
226. Wu, C., and J. M. Chen. 2013. Diverse responses of vegetation production to interannual summer drought in North America. International Journal of Applied Earth Observation and Geoinformation, 21, 1-6.
225. Wu, C., J. M. Chen, A. R. Desai, P. M. Lafleur, S. B. Verma. 2013. Positive impacts of
precipitation intensity on monthly CO2 fluxes in North America. Global and Planetary Change, 100: 204-214.
224. He M. Z, Y. L. Zhou, W. M. Ju, J. M. Chen, L. Zhang, S. Q. Wang, N. Saigusa, R. Hirata,
S. Murayama, Y. B. Liu, 2012. Evaluation and improvement of MODIS gross primary productivity in typical forest ecosystems of East Asia based on eddy covariance measurements. Journal of Forest Research, DOI
10.1007/s10310-012-0369-7.
223. Liu, Y., R. Liu, J. M. Chen, 2012. Retrospective retrieval of long-term consistent
global leaf area index (1981-2010) maps from combined AVHRR and MODIS data. Journal
of Geophysical Research-Biogeosciences, VOL. 117, G04003,
doi:10.1029/2012JG002084.
222. Wu, C. J. M. Chen, W. A. Kurz, D. T. Price, P. M. Lafleur, R. S. Jassal, D. Dragoni, G. Bohrer, C. M. Gough, S. B. Verma, A. E. Suyker, J. W. Munger. 2012. Interannual and spatial impacts of phonological transitions, growing season length and spring and autumn emperatures on carbon sequestration: A
North America flux data synthesis. Global and Planetary Change, 92-92: 179-190.
221. Wu, C. and J. M. Chen. 2012. Deriving a new phenological indicator of interannual
net carbon exchange in contrasting boreal deciduous and evergreen forests.
Ecological Indicators, 24: 113-119.
220. Schaefer K., et al. (J. M. Chen among 51 authors). 2012. A model-data
comparison of grass primary productivity: results from the North American
Carbon Program site synthesis. Journal of Geophysical Research-Atmosphere. VOL.
117, G03010, doi:10.1029/2012JG001960
219. Gonsamo, A., J. M. Chen, C. Wu, and D. Dragoni (2012). Predicting deciduous forest
carbon uptake phenology by upscaling FLUXNET measurements using remote sensing
data. Agricultural and Forest Meteorology, 165: 127-135.
218. Wu, C., J. M. Chen, A. Gonsamo, D. T. Price, T. A. Black, and W. A. Kurz.
2012. Interannual variability of carbon sequestration is determined by the lag
between ends of net uptake and growing season: evidence from long records of
two contrasting mature forests. Agricultural and Forest Meteorology, 164:
29-38.
217. Zhang, F. M., J. M. Chen, J. Chen, C. M.Gough, D. Dragoni, and T. Martin. 2012.
Evaluating spatial and temporal patterns of MODIS GPP over the conterminous
U.S. against flux measurements and a process model. Remote Sensing
Environment,124: 717-729.
216. He, L., J. M. Chen, Y. Pan, R. Birdsey, and J. Kattge. 2012. Relationships between net
primary productivity and stand age derived using Forest Inventory and Analysis
data and remote sensing imagery. Global Biogeochemical Cycles, VOL. 26,
GB3009, doi:10.1029/2010GB003942.
215. Gonsamo, A., and J. M. Chen. 2012. Spectral response cross-calibration among 21 satellite sensors for global vegetation monitoring. IEEE Transactions on Geoscience and
Remote Sensing. doi:10.1109/TGRS.2012.2198828.
214. Zhang, F. M., J. M. Chen, R. A. Birdsey, Y. Pan, S. Shen, W. Ju, L. He. 2012. Attributing carbon changes in conterminous US forests to disturbance and non-disturbance
factors from 1901 to 2010. Journal of Geophysical Research-Biogeosciences,VOL.
117, G02021, doi:10.1029/2011JG001930.
213. Wu, C., J. M. Chen, J. Pumpanen, A. Cescatti, B. Marcolla, P. D. Blanken, J. Ardö, Y. Tang, E. Magliulo, T. Georgiadis, H. Soegaard, D. R. Cook, R. J. Harding. 2012. An underestimated role of precipitation frequency in regulating summer soil moisture. Environmental Research Letters, 7, 024011, doi:10.1088/1748-9326/7/2/024011
212. Liu Y. B., W. M. Ju, J. M. Chen, G. L. Zhu, B. L. Xing,
J. F. Zhu, 2012. Spatial and temporal variations of forest LAI in China during
2000-2010.Chinese Science Bulletin, 57(22):
2846-2856.
211. Huntzinger D. N.
et al. (J. M. Chen among 28 authors). 2012. North American Carbon
Project (NACP) regional interim synthesis: terrestrial biospheric model
intercomparison. Ecological Modeling, 232: 144-157.
210. Coursolle, C. et al. (J. M. Chen among 13 authors). 2012. How
Stand Age Influences the Magnitude and Seasonality of Carbon Fluxes in Canadian
Forests. Agricultural and Forest Meteorology (165: 136-148.
209. Liu, Y., R., Liu, J. M. Chen, and W. Ju. 2012. Expanding MISR LAI products to high
temporal resolution with MODIS observations. IEEE Transactions on Geoscience
and Remote Sensing, 50: 3915-3927 .
208. Sprintsin, M.,J. M. Chen, A. Desai and C. M. Gough. 2012. Evaluation of
leaf-to-canopy upscaling methodologies against carbon flux data in North
America. Journal of Geophysical Research-Biogeosciences, VOL. 117, G01023,
doi:10.1029/2010JG001407.
207. Xiong, B., J. M. Chen, G. Kuang, and N. Kadowaki.
2012. Estimation of repeat-pass ALOS PALSAR interferometric
baseline through direct least square ellipse fitting. IEEE Transactions on
Geoscience and Remote Sensing, 50: 3610-3617.
206. Wu, C., J. M. Chen, A. R. Desai, D. Y. Hollinger,
M. A. Arain, H. A. Margolis, C. M. Gough, R. M. Staebler. 2012. Remote sensing
of canopy light use efficiency in temperate and boreal forests of North America
using MODIS imagery. Remote Sensing of Environment, 118, 60-72.
205. He, L., J. M. Chen, J. Pisek, C. B. Schaaf, A. H. Strahler. 2012. Global
clumping index map derived from the MODIS BRDF product. Remote Sensing of Environment, 119, 118-130.
204. Chen, J. M., G. Mo, J. Pisek,
F. Deng, M. Ishozawa, D. Chan, 2012. Effects of foliage clumping on
global terrestrial gross primary productivity. Global Biogeochemical Cycles,
VOL. 26, GB1019, 18 PP., doi:10.1029/2010GB003996.
203. Richardson, A., et
al. (J. M. Chen among 31 authors), 2012. Land surface models need
better representation of vegetation phenology: results from the North American
Carbon Program Site Synthesis. Global Change Biology 18, 566-584,
doi: 10.1111/j.1365-2486.2011.02562.x.
202. Xiong, B.,
J. M. Chen, G. Kuang, 2012. A change detection
measure based on a likelihood ratio and statistical properties of SAR intensity
images. IEEE Remote Sensing Letters, 3: 267-275.
201. Zhu, G.,W. Ju, J. M. Chen, P. Gong, B. Xing, and J. Zhu, 2012. Foliage clumping index
over China's landmass retrieved from the MODIS BRDF products. IEEE Transactions
on Geoscience and Remote Sensing, 50: 2122-2137.
200. Wu, C., and J. M. Chen, 2012. The use of precipitation intensity for estimating gross primary production in two northern grasslands. Journal of Arid Environments, 82: 11-18.
199. Simic, A. J. M. Chen, T. L. Noland, 2011. Retrieval of forest chlorophyll content using
canipy structure parameters derived from multi-angle data: The measurement
concept of combining nadir hyperspectral and off-nadir multispectral data. Internatinal
Journal of Remote Sensing. 32 (20): 5621-5644.
198. Sprintsin, M., J. M. Chen, and P. Czurylowicz, 2011.
Combining land surface temperature and shortwave infrared reflectance for early
detection of mountain pine beetle infestations in western Canada. Journal of
Applied Remote Sensing, 5: 503566-1-13.
197. Dietze, M. et
al. (J. M. Chen among 31 authors), 2011. Characterizing
the performance of ecosystem models across time scales: A spectral analysis of
the North American Carbon Program site-level synthesis. Journal of
Geophysical Research - Biogeosciences, VOL. 116, G04029,
doi:10.1029/2011JG001661.
196. Gonsamo, A., and J. M. Chen, 2011.
Evaluation of GLC2000 and NALC2005 land cover products for LAI retrieval over
Canada. Canadian Journal of Remote Sensing, 37: 302-313 .
195. Wu, C., J. M. Chen, and N.
Huang, 2011, Predicting gross primary production from the enhanced vegetation
index and photosynthetically active radiation: Evaluation and calibration, Remote
Sensing of Environment, 115, 3424-3435.
194. Liu, S, B. Bond-Lamberty, J. A. Hicke, R. Vargas, S. Zhao, J. M. Chen,S. L. Edburg, Y. Hu, J. Liu, and A. D. McGuire, 2011, Simulating the impacts of disturbances on forest carbon cycling in North America: Processes, data, models, and challenges, Journal of Geophysical Research-Atmospheres, 116, G00K08.
193. Deng F., and J. M. Chen, Recent global CO2 flux
inferred from atmospheric CO2 observations and its regional
analysis. Biogeosciences 8: 3263-3281.
192. Zhu, G., W. Ju, J. M. Chen, Y. Liu, J. Zhu, and B. Xing. 2011.
Validation of MODIS BRDF model parameters product and the Ross-Li model with
POLDER data. Journal of Remote Sensing, 15: 875-884.
191. Liu, Y., W. Ju, G. Zhu, J. M. Chen, B. Xing, J. Zhu, and Y. Zhou. 2011. Retrieval of leaf area index for different grasslands in Inner Mongolia prairie using remote sensing data. Acta
Ecologia Sinica, 30: 5199-5170.
190. Zhu, G., W. Ju, and J. M.
Chen, 2011. Difference in leaf area index retrieved from HJ-1 CCD and TM
data of Maoershan Mountain. Journal of Northeast Forestry University, 39: 127-130
189. Wang, S., L. Zhou, J. M.
Chen, W. Ju, X. Feng, and W. Wu, 2011. Relationships between net primary
productivity and stand age for several forest types and their influence on China's carbon balance. Journal of Environmental Management.
92: 1651e1662
188. Govind, A., and J. M. Chen, 2011. Spatially distributed modeling of
the long-term carbon balance of a boreal landscape. Ecological Modeling,
doi:10.1016/j.ecolmodel.2011.04.007 .
187. He, L., J. M. Chen, S. Zhang, G. Gomez, Y. Pan, K. McCullough, R.
Birdsey, and J. Masek. 2011. Normalized Algorithm for Mapping and Dating Forest
Disturbances and Regrowth for the United States. International Journal of
Applied Earth Observation and Geoinformation. 13: 236-245
186. Schwalm, C. R., et al. (J.
M. Chen among 47 authors), 2011. A model-data intercomparison of CO2
exchange across North America: results from the North America Carbon Program
Site Synthesis. Journal of Geophysical Research-Biogeosciences,
115, G00H05, doi:10.1029/2009JG001229.
185. Moorthy, I., J. R. Miller, J. A. J Berni,
P. J Zarco-Tejada, B. Hu,and J. M. Chen, 2011. Field
characterization of olive (Olea europaea L.) tree crown architecture using
terrestrial laser scanning data. Agricultural
and Forest Meteorology, 151: 204-214
184. Nassar, R., D. B. A. Jones,
S. S. Kulawik, J. R. Worden, K. W. Bowman, R. J. Andres, P. Suntharalingam, J. M.
Chen, C. A. M. Brenninkmeijer, T. J. Schuck, T. J. Conway, D. E. Worthy,
2011. Inverse modeling of CO2 sources and sinks using satellite observations of CO2
from TES and surface flask measurements. Atmospheric Chemistry and Physics.
doi:10.5194/acp-11-6029-2011
183. Huang, M., J. M. Chen, and
F. Deng, 2011. Data-Model Fusion for Improving LAI Mapping: a
Case Study over China's Landmass. International Journal of Remote Sensing
doi:10.1080/01431161.2010.520347
182. Pisek, J., J. M. Chen, and T. Nilson. 2011. Estimation of vegetation
clumping index using MODIS BRDF products. IEEE Remote Sensing Letters, 32:
2645-2657.
181. Pan, Y., J. M. Chen, R. Birdsey, K. McCullough, L. He, and
F. Deng. 2011. Age Structure and Disturbance Legacy of North American
Forests. Biogeosciences, 8: 715-732.
180. Nassar, R., D.B.A. Jones, P. Suntharalingam, J.M. Chen,
R.J. Andres, K.J. Wecht, R.M. Yantosca, S.S. Kulawik, K.W.
Bowman, J.R. Worden, T. Machida and H. Matsueda, 2010. Modeling
global atmospheric CO2 with improved emission inventories
and CO2 production from the oxidation of other carbon species,
Geoscientific Model Development, 3, 689-716.
179. Zhang, F. M., W. Ju, J. M. Chen, S. Q. Wang, G. Yu,
Y. Li, S. Han, J. Asanuma, 2010. Simulations of Evapotranspiration
in Southeast Asia using BEPS. Journal of Natural Resources,
25: 1598-1605.
178. Zhu, G., W. Ju, J. M. Chen, W. Fan, Y.
Zhou, X. Li, M. Li. 2010. Leaf area index
retrieval for forests in the Maoershan Mountain in northeast
China. Chinese Applied Ecology, 21: 2117-2124.
177. Chen, B., T. A. Black, N. Coops, R. Jassal, J. M. Chen,
and M. Johnson, 2010. Modeling to discern nitrogen fertilization
impacts on carbon sequestration in a Pacific Northwest Douglas-fir
forest in the first post fertilization year. Global Chang
Biology, doi: 10.1111/j.1365-2486.2010.02298.
176. Govind, A., J. M. Chen, J. McDonnell, J. Kumari, and
O. Sonnentag, 2010. Effect of Lateral Hydrological Processes
on Photosynthesis and Evapotranspiration. Ecohydrology,
3. (doi: 10.1002/eco.141)
175. Pisek, J., J. M. Chen, K. Alikas, and F. Deng, 2010.
Impact of including forest understory and foliage clumping
information from multi-angular measurements in Leaf Area Index
mapping over North America. Journal of Geophysical Research,
VOL. 115, G03023, doi:10.1029/2009JG001138.
174. Carlson, M., J. M. Chen, S. Elgie, C. Henschel, ?. Montenegro,
N. Roulet, N. Scott, C. Tarnocai, and J. Wells, 2010. Maintaining
the Role of Canada's Forests and Peatlands in Climate Regulation.
Forest Chronicle, 86: 1-10.
173. Ju, W., J. M. Chen, T. A. Black, A. G. Barr, H. McCaughey,
and N. T. Roulet, 2010. Spatially explicit modelling of coupled
water and carbon cycles in Canada's forests and wetlands.
Tellus, DOI: 10.1111/j.1600-0889.2010.00459.x.
172. Yi, C., et al. (J. M. Chen among 116 co-authors). 2010.
Climate control of terrestrial carbon exchange across biomes
and continents. Environmental Research Letters, doi:10.1088/1748-9326/5/3/034007.
171. Wang, Z., and J. M. Chen. 2010. A greener future for
China's cities. Science, 327:1199 (5 March)
170. Canisius, F., R. Fernandes and J. M. Chen. 2010. Comparison
and evaluation of MERIS FR LAI products over mixed land use
regions. Remote Sensing of Environment, 114: 950-960.
169. Pisek, J., J. M. Chen, R. Lacaze, O. Sonnentag, and
K. Alikas. 2010. Expanding global mapping of foliage clumping
index with multi-angular POLDER 3 measurements: evaluation
and topographic compensation. ISPRS Journal of Photgrammetry
and Remote Sensing, 65:341-346.
168. Sonnentag, O., G. van der Kamp, A. Barr, J. M. Chen,
2010. On the relationship between water table depth and water
vapor and carbon dioxide fluxes in a minerotrophic fen. Global
Change Biology, 16:1762-1776, doi: 10.1111/j.1365-2486.2009.02032.x.
167. Simic, A., J. M. Chen, J. Freemantle, J. R. Miller,
and J. Pisek, 2010. Improving clumping and LAI algorithms
Based on Multi-angle Airborne Imagery and Ground Measurements.
IEEE Transactions on Geoscience and Remote Sensing, 48:
1742-1759.
166. Wang, J., J. M. Chen, W. Ju, M. Li. 2010. IA-SDSS: a
GIS-based land use decision support system with consideration
of carbon sequestration. Environmental Management and Software,
25:539-553.
165. Pisek, J., J. M. Chen, J. R. Miller, J. Freemantle,
J. Peltoniemi, and A. Simic, 2010. Mapping forest background
reflectance in a boreal region using multi-angle Compact Airborne
Spectrographic Imager (CASI) data. IEEE Transactions on
Geoscience and Remote Sensing, 48:499-510.
164. Shi, X. Z., H.J. Wang, D.S. Yu, D. C. Weindorf, X.F.
Cheng, X.Z. Pan, W.X. Sun, and J. M. Chen, 2009 Potential for
soil carbon sequestration of eroded areas in subtropical China.
Soil and Tillage Research, 105: 322-327.
163. Pisek, J. and J. M. Chen, 2009. Mapping of forest background
reflectivity over North America with the NASA Multiangle Imaging
SpectroRadiometer (MISR). Remote Sensing of Environment,
113: 2412-2423.
162. El Maayar, M., D.T. Price and J.M. Chen, 2009. Simulating
daily, monthly and annual water balances in a land surface
model using alternative root water uptake schemes. Advances
in Water Resources , 32: 1444-1459
161. Zhu, L., J. M. Chen, Q. Qin, J. Li, and L. Wang, 2009.
Optimization of ecosystem model parameters using spatio-temporal
soil moisture information. Ecological Modelling, 220:
2121-2136.
160 Govind, A., J. M. Chen, H. Margolis, W. Ju, O. Sonnentag,
and M. Giasson. 2009, A Spatially Explicit Hydro-Ecological
Modeling Framework (BEPS-TerrainLab V2.0), Part 1: Model Description
and Test in a Boreal Ecosystem in Eastern North America.,
Journal of Hydrology, 367:200-216
159. Chen, J. M., Huang, S., W. Ju, D. Goumont-Guay, and
T. A. Black. 2009, Daily heterotrophic respiration model considering
the non-linear effect of diurnal temperature variability.
Journal of Geophysical Research-Biogeosciences , vol.
114, G01022, doi: 10.1029/2008JG000834.
158. Govind, A., J. M. Chen, and W. Ju. 2009, Spatially Explicit
Simulation of Hydrologically Controlled Carbon and Nitrogen
Cycles and Associated Feedback Mechanisms in a Boreal Ecosystem.
Journal of Geophysical Research-Biogeosciences, 114
G02006, doi: 10.1029/2008JG000728
157. Mo, X., J. M. Chen, W. Ju, and T. A. Black. 2008. Optimization
of ecosystem model parameters through assimilating eddy covariance
flux data with an ensemble Kalman filter. Ecological Modelling,
217: 157-173.
156. Simic, A. and J. M. Chen. 2008. Refining a Hyperspectral
and Multi-angle Measurement Concept for Vegetation Structure
Assessment. Canadian Journal of Remote Sensing, 34:
174-171.
155. Chan, D., M. Ishizawa, K. Higuchi, S. Maksyutov, and
J. M. Chen, Seasonal CO2 rectifyer effect and large scale
extratropical atmospheric transport. Journal of Geophyiscal
Research, 113, D17309, doi:10.1029/2007JD009443.
154. Moorthy, I., J. R. Miller, B. Hu, J. M. Chen, Q. Li.
2008. Retrieving crown structural properties from an individual
tree using ground-based LiDAR data. Canadian Journal of
Remote Sensing, 34: 320-332.
153. Zhang Y., J. M. Chen, J. Miller, T. Noland, 2008. Retrieving
chlorophyll content of needle leaves from hyperspectral measurements.
Canadian Journal of Remote Sensing, 34: 287-295.
152. El Maayar, M., J.M. Chen, and D.T. Price, 2008. On the
use of measurements of sensible and latent heat fluxes to
evaluate land surface models. Ecological Modelling,
214: 293-304.
151. Ju, W., and Chen, J.M., 2008. Effects of past changes
in climate, atmospheric composition, and disturbance on soil
carbon in Canada's forests and wetlands. Global Biogeochemical
Cycles, VOL. 22, GB3010, doi:10.1029/2007GB002935.
150. Chen, B., J. M. Chen, G. Mo, and T. A. Black, 2008.
Comparison of regional carbon flux estimates from CO2 concentration
measurements and remote sensing-based footprint integration.
Global Biogeochemical Cycles, VOL. 22, GB2012, doi:10.1029/2007GB003024.
149. Zhang Y., J. M. Chen, J. Miller, T. Noland, 2008. Needle
chlorophyll content retrieval from airborne hyperspectral
imagery. Remote Sensing of Environment, 112: 3234-3247.
148. Sonnentag, O., J. M. Chen, N. T. Roulet, W. Ju, and
A. Govind, 2008. Spatially explicit simulation of peatland
hydrology and carbon dioxide exchange: The influence of topography.
Journal of Geophysical Research-Biogeosciences. Vol. 113,
G02005, doi:10.1029/2007JG000605
147. Xu, C., M. Liu, C. Zhang, S. An, W. Yu, J. M. Chen,
2007. The spatiotemporal dynamics of rapid urban growth in
the Nanjing metropolitan region of China. Landscape Ecology,
22: 925-937.
146. Pisek, J., and J. M. Chen, 2007. Comparison and validation
of MODIS and VEGETATION global LAI products over four BigFoot
sites in North America. Remote Sensing of Environment,
109: 81-94.
Full pdf file
145. Chen, J. M., S. C. Thomas, Y. Yin, V. Maclaren, J. Liu,
J. Pan, G. Liu, Q. Tian, Q. Zhu, J.-J. Pan, X. Shi, J. Xue,
and E. Kang, 2007. Enhancing forest carbon sequestration in
China: Toward an integration of scientific and socio-economic
perspectives. Journal of Environmental Management,
85: 515-523
144. Chen, B., J. M. Chen, and W. Ju., 2007. Remote sensing
based ecosystem-atmosphere simulation Scheme (EASS): model
formulation and test with multiple-year data. Ecological
modeling, 209: 277-300
143. Pisek, J., J. M. Chen, and F. Deng, 2007. Canada-wide
validation of a new global leaf area index dataset from SPOT-4
VEGETATION data. Canadian Journal of Remote Sensing,
33: 1-16.
Full
pdf file
142. Sonnentag, O., J. M. Chen, D. A. Roberts, J. Talbot,
A. Govind, and K. Halligan, 2007. Mapping tree and shrub leaf
area indices of an ombrotrophic peatland using field measurements
and multiple endmember spectral mixture analysis. Remote
Sensing of Environment, 109: 342-360.
Full
pdf file
141. Sonnentag, O., J. Talbot, J. M. Chen, T. N. Roulet,
2007. Using direct and indirect measurements of leaf area
index to characterize the shrub canopy of an ombrotrophic
peatland. Agricultural and Forest Meteorology, 144:
200-212.
Full
pdf file
140. Chen, B., and J. M. Chen, 2007. Interannual variation
in carbon isotope discrimination in response to meteorological
and physiological driving factors in a boreal forest ecosystem,
Plant, Cell and Environment, 30: doi: 10.1111/j.1365-3040.2007.01707.
139. Liu, R, J. M. Chen, J. Liu, F. Deng, and R. Sun, 2007.
Application of a new leaf area index algorithm to China's
landmass using MODIS data for carbon cycle research. Journal
of Environmental Management 85: 649-658.
138. Zheng, G., J. M. Chen, Q. Tian, W. Ju, and X. Xia,
2007. Combining remote sensing imagery and forest age inventory
for biomass mapping. Journal of Environmental Management
85: 616-623
137. Ju, W., J. M. Chen, D. Harvey, and S. Wang, 2007. Future
carbon balance of China's forests under climate change and
increasing CO2. Journal of Environmental Management
85: 538-562
136. Wang, S, J. M. Chen, W. Ju, X. Feng, M. Chen, P. Chen.,
and G..Yu, 2007. Carbon sinks and sources in China's forests
during 1901-2001. Journal of Environmental Management 85: 524-537..
135. Chen, X., J. M. Chen, S. An., and W. Ju, 2007. Effects
of Topography on Simulated Net Primary Productivity at Landscape
Scale. Journal of Environmental Management 85: 585-596.
134. Tang, S, J. M. Chen, Q. Zhu, X. Li, M. Chen, R. Sun,
Y. Zhou, F. Deng, and D. Xie, 2007. LAI inversion algorithm
based on directional reflectance kernels. Journal of Environmental
Management 85: 638-648.
133. Shao, Y, J. Pan, L.Yang, J. M. Chen, W. Ju, and X .
Shi, 2007. Validation of soil organic carbon density using
the InTEC model. Journal of Environmental Management
85: 696-701
132. Feng , X, Liu G, J. M. Chen, M. Chen, J. Liu, W. Ju,
R. Sun, and W. Zhou, 2007. Simulating net primary productivity
of terrestrial ecosystems in China using a process model driven
by remote sensing. Journal of Environmental Management
85: 563-573.
131. Tian, Q, Z. Luo, J. M. Chen, M. Chen, and F. Hui, 2007.
Retrieving LAI for coniferous forest in Xingguo County with
Landsat ETM+ images. Journal of Environmental Management
85: 624-627
130. Zhou, Y, Q. Zhu, J .M. Chen, Y.Q. Wang, J. Liu, R. Sun.,
and S Tang, 2007. Observation and simulation of net primary
productivity in Qilian mountain, Western China. Journal
of Environmental Management 85: 574-584.
129. Jin, Z, Q. Tian, J. M. Chen, and M. Chen, 2007. Spatial
scaling between leaf area index maps of different resolutions.
Journal of Environmental Management 85: 628-637.
128. Xu, C, M. Liu, S. An, J. M. Chen, and P. Yan, 2007.
Assessing the impact of urbanization on regional net primary
productivity in Jiangyin County, China. Journal of Environmental
Management 85: 597-606
127. Yu, D, X. Shi, H. Wang, W. Sun, J. M. Chen, Q. Liu,
and Y. Zhao, 2007. Regional patterns of soil organic carbon
storages in China. Journal of Environmental Management
85: 680-689
126. Caldwell, I., V. Maclaren, J. M. Chen, W. Ju., S. Zhou,
and Y. Yin, 2007. An integrated assessment model of carbon
sequestration benefits : a case study of Liping County, China.
Journal of Environmental Management 85: 757-773
125. Wang, P, R. Sun, J. Hu, Q. Zhu, Y.Zhou, L. Li, and J.
M. Chen, 2007. Measurements and simulation of forest leaf
area index and net primary productivity in Northern China.
Journal of Environmental Management 85: 607-615.
124. Zhang, Y., J. M. Chen, and S. Thomas. 2007. Retrieving
seasonal variation in chlorophyll content of overstorey and
understorey sugar maple leaves from leaf-level hyperspectral
data. Canadian Journal of Remote Sensing (in press).
123. Peddle, D.R., R.L. Johnson, J. Cihlar, S.G. Leblanc
J. M. Chen and F.G. Hall, 2007. Physically-Based Inversion
Modeling for Unsupervised Cluster Labeling, Independent Forest
Classification and LAI Estimation using MFM-5-Scale. Canadian
Journal of Remote Sensing, 33(3): 214-225.
Full pdf
file
122. Chen, B., J. M. Chen, G. Mo, K. Yuan, K. Higuchi, and
D. Chan. 2007. Modeling and scaling coupled energy, water,
and carbon fluxes based on remote sensing: An application
to Canada's landmass. Journal of Hydrometeorology,
8: 123-143. Full
pdf file
121. Deng, F., J. M. Chen, C.-W. Yuen, M. Ishizawa, G. Mo,
K. Higuchi, D. Chan, B. Chen, and S. Maksyutov, 2007. Global
monthly CO2 flux inversion with focus over North America.
Tellus, 59B: 179-190.
Full pdf file
120. Canisius F., and J. M. Chen, 2007. Retrieving forest
background reflectance in a boreal region from Multi-angle
Imaging SpectroRadiometer (MISR) Data. Remote Sensing of
Environment, 107: 312-321.
Full pdf
file
119. Chen, J. M., B. Chen, and P. Tans 2007. Deriving daily
carbon fluxes from hourly CO2 mixing ratios measured on the
WLEF tall tower: an upscaling methodology. Journal of Geophysical
Research-Biogeosciences, 112, G01015, doi:10.1029/2006JG000280.
Full
pdf file
118. Grant R.F., Zhang Y. , Yuan F., Wang S., Hanson P.J.,
Gaumont-Guay, D., Chen J. M., Black T.A., Barr A., Baldocchi
D.D., Arain A. 2006. Modelling water stress effects on CO2
and energy exchange in temperate and boreal deciduous forests.
Ecological Modelling. 196: 289-312.
117. Chen, X. F., J. M. Chen, S. Q. An, Y. H. Liu, X. Q.
Fang, S. M. Wang, 2006. Comparing the estimates of forest
leaf area index from Landsat TM data using different atmospheric
correction methods. Chinese Journal of Ecology, 25:
269-773.
Full pdf file
116. Ishizawa, M., D. Chan, K. Higuchi, S. Maksyutov3, C.-W.
Yuen, J. M. Chen and D. Worthy, 2006. Rectifier effect in
an atmospheric model with daily biospheric fluxes: impact
on inversion calculation. Tellus, 58B, 467-462.
Full pdf file
115. Baret, F., J. Morissette, R. Fernandes, J. L. Champeaux,
R. Myneni, J. M. Chen, S. Plummer, M. Weiss, C. Becour, and
G. Derive. 2006. Evaluation of the representativeness of networks
of sites for the valiation of inter-comparison of global land
biophysical products, Proposition of the CEOS-BELMANIP. IEEE
Transactions on Geiscience and Remote Sensing, 44: 1794-1803.
Full
pdf file
114. Chen, B., J. M. Chen, L. Huang, and P. Tans, 2006. Simulating
dynamics of 13CO2 in the planetary boundary layer over a boreal
forest region: An approach to estimate carbon isotope rectification.
Tellus 58B, 537-549.
Full pdf file
113. Ju, W., J. M. Chen, T. A. Black, A. Barr, J. Liu, and
B. Chen, 2006. Modeling coupled water and carbon fluxes in
a boreal aspen forest. Agricultural and Forest Meteorology,
140: 136-151.
112. Gobron, N., B. Pinty, O. Aussedat, J. M. Chen, W. Cohen,
R. Fensholt, V. Gond, K. F. Hummerich, T. Lavergne, F. Melin,
J. L. Privette, I. Sandholt, M. Taberner, D. P. Turner, M.
M. Verstraete, and J.-L. Widlowski. 2006. Evaluation of FAPAR
products for different canopy radiation transfer regimes:
methodology and results using JRC products derived from SeaWiFS
against ground-based estimations. Journal of Geophysical
Research 111, D13110, doi:10.1029/2005JD006511.
111. Chen, J. M., A. Govind, O. Sonnentag, Y. Zhang, A. Barr, and B. Amiro. 2006. Leaf area index measurements at Fluxnet
Canada forest sites. Agricultural and Forest Meteorology,
140: 257-268.
Full pdf file
110. Zhou, S, J. M. Chen, P. Gong, and G. Xue, 2006. Effect
of heterogeneous vegetation on the surface hydrological cycle.
Advances in Atmospheric Sciences, 23: 391-404
109. Chen, B, J. M. Chen, L. Huang L, and P. P. Tans, 2006.
Modeling dynamics of stable carbon isotopic exchange between
boreal ecosystems and the atmosphere. Global Change Biol.
, 12: 1842-1867.
Full pdf file
108. Chen, J. M., F. Deng, and M. Chen, 2006. Automated Erratic
Cubic-Spline Capping Method for Reconstructing Seasonal Trajectories
of a Surface Parameter Derived from Remote Sensing. IEEE
Transactions of Geoscience and Remote Sensing, 44: 2230-2238
Full
pdf file
107. Deng, F., J. M. Chen, S. Plummer, and M. Chen, 2006.
Global LAI algorithm integrating the bidirectional information.
IEEE Transactions on Geoscience and Remote Sensing,
44: 2219-2229.
Full pdf file
106. Chen, J. M., B. Chen, K. Higuchi, J. Liu, D. Chan, D.
Worthy, P. Tans, and T. A. Black, 2006. Boreal ecosystems
sequestered more carbon in warmer years. Geophysical Research
Letters, Vol. 33, No. 10, L10803.
Full pdf file
105. El Maayar, M., and J. M. Chen, 2006. Methodology for
spatial scaling in ET under the influence of variable topography
and vegetation. Remote Sensing of Environment, 102:
33-51.
Full pdf file
104. Chen, X. F., S. Q. An, J. M. Chen, W. H., Liu, C. Xu,
and H. B. Yang, 2006. A review of forest ecosystem biophysical
parameter retrieval from remote sensing data. Chinese Journal
of Ecology, 24(9): 1074-1079.
103. Coursolle, C., H. A. Margolis, A. G. Barr, T. A. Black,
B. D. Amiro, J. H. McCaughey, L. B. Flanagan, P. M. Lafleur,
N. T. Roulet, C. P.-A. Bourque, M. A. Arain, S. C. Wofsy,
A. Dunn, K. Morgenstern, A. L. Orchansky, P. Y. Bernier, J.
M. Chen, J. Kidston, N. Saigusa, and Newell Hedstrom. 2006.
Late-summer carbon fluxes from Canadian forests and peatlands
along an east-west continental transect. Canadian Journal
of Forest Research, 36: 783-800.
Full pdf file
102. Ju, W., J. M. Chen, T. A. Black, H. McCaughey, and N.
Roulet, 2006. Hydrological Effects on Carbon Cycles of Canada's
Forests and Wetlands. Tellus B, 58: 16-30
Full pdf file
101. Higuchi, K., A. Shashkov, D. Chan, N. Saigusa, S. Murayama,
S. Yamamoto, H. Kondo, J. M. Chen, J. Liu and B. Chen, 2005.
Simulations of Seasonal and Inter-annual Variability of Net
CO2 Flux at Takayama with BEPS Ecosystem Model. Agricultural
and Forest Meteorology, 134: 143-150.
Full pdf file
100. Zhang Y., J. M. Chen, and John Miller, 2005. Determining
exposure of digital hemispherical photographs for leaf area
index estimation. Agricultural and Forest Meteorology
133: 166-181.
Full pdf file
99. Leblanc, S. G., J. M. Chen, H. P. White, R. Latifvic,
J. R. Roujean, and R. Lacaze, 2005. Canada-wide foliage clumping
index mapping from multi-angular POLDER measurements. Canadian
Journal of Remote Sensing, 31: 364-376.
Full pdf file
98. Chen, J. M., 2005. Satellite Imagery for Mapping the
Carbon Source and Sink Distribution in Canada's Forests and
Wetlands. Physics in Canada. (Invited featured article),
61: 19-26.
Full pdf
file
97. Grant R.F., A. Arain, V. Arora, A. Barr, T. A. Black,
J. M. Chen, S. Wang, F. Yuan, Y. Zhang, 2005. Intercomparison
of techniques to model high temperature effects on CO2 and
energy exchange in temperate and boreal coniferous forests.
Ecological Modelling, 188: 217-252.
Full pdf file
96. Chen, B., J. M. Chen, and D. Worthy, 2005. Interannual
variability in the atmospheric CO2 rectification over a boreal
forest region. Journal of Geophysical Research, Vol.
110 D16301 doi10.1029/2004JD005546.
Full
pdf file
95. Chen, J. M., C. H. Menges, and S. G. Leblanc, 2005. Global
derivation of the vegetation clumping index from multi-angular
satellite data. Remote Sensing of Environment, 97:
447-457
Full pdf file
94. Liu, J. X., J. M. Chen, D. T. Price, and S. Liu, 2005.
NCWin - A component object model (COM) for processing and
visualizing NETCDF DATA. Cartographic Journal, 42:
69-77
93. Liu, J. X., D. T. Price, J. M. Chen, M. Siltanen, 2005.
Nitrogen Budget and Nitrogen controls on Ecosystem Carbon
Sequestration: A Model Implementation and Application to Saskatchewan,
Canada. Ecological Modeling, 186: 178-195.
Full pdf file
92. Latifovic, R., J. Fytas, J. M. Chen, and J. Paraszczak,
2005. Assessing landcover change resulting from large surface
mining. International Journal of Applied Earth Observation
and Geoinformation, 7: 29-48.
Full pdf file
91. Leblanc, S. G., J. M. Chen, R. Fernandes, D. W. Deering,
and A. Conley, 2005. Methodology comparison for canopy structure
parameters extraction from digital hemispherical photography
in boreal forests. Agricultural and Forest Meteorology,
129:187-207.
Full pdf file
90. Zhou, S. G. Peng, X. Genyuan, J. M. Chen, H. Zhang. 2005.
The SIA method for the spatial analysis of precipitation resources
in the upper-middle reaches of the Yangtze. Journal of
Geographical Science, 15(2):223~238
89. Chen, J. M., X. Chen and W. Ju, X. Geng, 2005 A remote
sensing-driven distributed hydrological model: mapping evapotranspiration
in a forested watershed. J. Hydrology 305:15-39.
Full pdf file
88. Ju, W., and J. M. Chen, 2005 Distribution of soil carbon
stocks in Canada's forests and wetland simulated based on
drainage class, topography and remote sensing. Hydrological
Processes, 19:77-94.
Full pdf file
87. Sun R., J. M. Chen, Y. Zhou, Q. Zhu, J. Liu, J. Li, S.
Liu, G. Yan, S. Tang. 2004 Estimation of net primary productivity
and evapotranspiration in Changbaishan, China using ETM data.
Canadian Journal of Remote Sensing 30:731-742.
Full pdf file
86. Xu, S. J. M. Chen, R. Fernandes and J. Cihlar. 2004.
Effects of subpixel water area fraction on mapping leaf area
index and net primary productivity in Canada. Canadian
Journal for Remote Sensing, 30: 797-804.
85. Zhou, S., X. Liang, J. M. Chen, 2004. A surface hydrological
model based on remote sensing data and its evaluation, an
example of Baohe Basin. Canadian Journal of Remote Sensing,
30: 840-853
Full pdf file
84. Chan, D., K. Higuchi, C.W. Yuen, J. Liu, A. Shashkov,
J. M. Chen, 2004. On the CO2 exchange be3ween the atmosphere
and the biosphere: the role of synoptic and mesoscale processes.
Tellus B. 56: 194-212.
Full pdf file
83. Liu, J. Y., S. Wang, J. M. Chen, M. Liu, D. Zhuang, 2004.
Storages of soil organic carbon and nitrogen and land use
changes in China 1990-2000. Acta Geographica Sinica,
59: 483-496.
82. Simic A., J. M. Chen, J. Liu, F. Csillag, 2004. Spatial
scaling of net primary productivity using subpixel information.
Remote Sensing of Environment, 93:246-258.
Full pdf file
81. Chen, B., J. M.Chen, J. Liu, D. Chan, K. Higutchi, and
A. Shashkov, 2004. A Vertical Diffusion Scheme to Estimate
the Atmospheric Rectifier Effect. J. Geophy. Res. 109,
D04306, doi:10,1029 / 2003JD003925
Full pdf file
80. Gamon,J. A., K.F. Huemmrich, J. M. Chen, D. Fuentes,
F.G. Hall, J.S. Kimball, S. Goetz, J. Gu, K.C. McDonald, J.R.
Miller, M. Moghaddam, D.R. Peddle, A.F. Rahman, J.-L. Roujean,
E. A. Smith, C.L. Walthall, P. Zarco-Tejada. 2004. Remote
sensing in BOREAS: lessons learned. Remote Sensing of Environment
89:139-162.
Full pdf file
79. Cihlar, J., R. Latifovic, J. M. Chen, A. Trishchenko,
Y. Du, G. Fedosejevs, and B. Guidon, 2004. Systematic corrections
of AVHRR image composites for temporal studies. Remote
Sensing of Environment, 89:217-233.
Full pdf file
78. Hu, B., J. R. Miller, J. M. Chen, and A. Hollinger, 2004.
Retrieval of the Canopy Leaf Area Index in the BOREAS Flux
Tower Sites Using Linear Spectral Mixture Analysis. Remote
Sensing of Environment 89:189-199.
Full
pdf file
77. Fernandes, R. A., J. R. Miller, J. M. Chen, and I. G.
Rubinstein, 2004. Evaluating Image Based Estimates of Leaf
Area Index in Boreal Conifer Stands over a Range of Scales
using High-Resolution CASI Imagery. Remote Sensing of Environment,
89: 200-216.
Full pdf file
76. Liu, J., J. M. Chen, and J. Cihlar, 2003. Mapping Evapotranspiration
Based on Remote Sensing: An Application to Canada's Landmass.
Water Resources Research 39:1189-1200.
Full
pdf file
75. Latifovic, R., J. Cihlar, and J. M. Chen, 2003. A comparison
of BRDF models for the normalization of satellite optical
data to a standard sun-target-sensor geometry. IEEE Transactions
on Geoscience and Remote Sensing, 41(8):1889-1998.
Full pdf file
74. Amiro, B. D., and J. M. Chen, 2003. Forest-fire-scar
dating using SPOT-VEGETATION for Canadian ecoregions. Canadian
Journal for Forest Research 33:1116-1125.
73. Amiro, B. D., J. I. MacPherson, R. L. Desjardins, J.
M. Chen, and J. Liu, 2003. Post-fire carbon fluexes in the
western Canadian boreal forest: evidence from towers, aircraft
and remote sensing. Agricultural and Forest Meteorology,
115:91-107.
Full pdf file
72. Chen, J. M., J. Liu, S. G., Leblanc, R. Lacaze, and J.-L.
Roujean. 2003. Multi-angular optical remote sensing for assessing
vegetation structure and carbon absorption. Remote Sensing
of Environment 84: 516-525
Full
pdf file
71. Chen, J. M., W. Ju, J. Cihlar, D. Price, J. Liu, W. Chen,
J. Pan, T. A. Black, and A. Barr, 2003. Spatial distribution
of carbon sources and sinks in Canada's forests based on remote
sensing. Tellus B. 55(2): 622-642.
Full
pdf file
70. Gong, P., M. Xu, J. Chen, J. M. Chen, Y. Qi, G. Biging,
J. Liu, and S. Wang, 2002. A preliminary study on the carbon
dynamics of China's terrestrial ecosystems in the past 20
years, Earth Science Frontiers, 9(1):55-61.
69. White, H. P., J. M. Chen, J. R. Miller, 2002. Four-Scale
Linear Model for Anisotropic Reflectance (FLAIR), II. Partial
Validation with Field Measurements. IEEE Transactions on
Geoscience and Remote Sensing 40(5): 1038-1046.
Full pdf file
68. Chen, W., J. M. Chen, D. T. Price and J. Cihlar, 2002.
Effects of stand age on net primary productivity of boreal
black spruce forests in Canada. Canadian Journal for Forest
Research, 32: 833-842.
67. Liu, J., J. M. Chen, J. Cihlar, W. Chen, 2002. Remote
sensing based estimation of net primary productivity over
Canadian landmass. Global Ecology and Biogeography,
11:115-129. Full
pdf file
66. Cihlar, J., J. M. Chen, Z. Li, R. Latifovic, G. Fedosejevs,
M. Adair, W. Park, R. Fraser, A. Trishchenko, B. Guindon,
D. Stanley, and D. Morse, 2002. GeoComp - n, an advanced system
for the processing of coarse and medium resolution satellite
data. Part 2: biophysical products for northern ecosystems.
Canadian Journal of Remote Sensing 28:21-44.
65. Lacaze, R., J. M. Chen, J.-L. Roujean, and S. G. Leblanc,
2002. Retrieval of vegetation clumping index using hot spot
signatures measured by POLDER instrument. Remote Sensing
of Environment, 79: 84-95.
Full
pdf file
64. Chen, J. M., G. Pavlic , L. Brown, J. Cihlar, S.G. Leblanc,
H. P. White, R. J. Hall, D. Peddle, D.J. King, J. A. Trofymow,
E. Swift, J. Van der Sanden, and P. Pellikka, 2002. Validation
of Canada-wide leaf area index maps using ground measurements
and high and moderate resolution satellite imagery. Remote
Sensing of Environment 80:165-184 Full
pdf file
63. Leblon, B., M. Alexander, J. M. Chen, and S. White. 2001.
Monitoring fire danger of northern boreal forests with NOAA-AVHRR
NDVI images. International Journal of Remote Sensing,
22:2839-2846. Full
pdf file
62. Leblanc, S.G. and J. M. Chen, 2001. A practical method
for correcting multiple scattering effects on optical measurements
of leaf area index. Agricultural and Forest Meteorology.,
110:125-139. Full
pdf file
61. Miller, J. R., and J. M. Chen, 2001. Surface environment:
Earth observations. Physics in Canada, 57: 287-296.
60. Amthor, J. S., J. M. Chen, J. S. Clein, S. E. Frolking,
M. L. Goulden, R. F. Grant, J. S. Kimball, A. W. King, A.
D. McGuire, N. T. Nikolov, C. S. Potter, S. Wang, and S. C.
Wofsy, 2001. Boreal forest CO2 exchange and evapotranspiration
predicted by nine ecosystem process models: Inter-model comparisons
and relations to field measurements. J. Geophys. Res.,
106: 33,623- 33,648. Full
pdf file
59. Potter, C. S. , S. Wang, N. T. Nikolov, A. D. McGuire,
J. Liu, A. W. King, J. S. Kimball, R. F. Grant, S. E. Frolking,
J. S. Clein, J. M. Chen, and J. S. Amthor. 2001. Comparison
of boreal ecosystem model sensitivity to variablity in climate
and forest site parameters J. Geophys. Res., 106: 33,671-
33,688. Full
pdf file
58. Cihlar, J., L. Tcherednichenko, R. Latifovic, Z. Li,
and J. M. Chen. 2001. Impact of variable atmospheric water
vapour content on AVHRR data corrections over land. IEEE
Transactions for Geoscience and Remote Sensing 39:173-180.
Full pdf file
57. White, P. H., J. R. Miller and J. M. Chen, 2001. Four-Scale
Linear Model for Anisotropic Reflectance (FLAIR) for Plant
Canopies. I: Model Description and Partial Validation. IEEE
Transactions on Geoscience and Remote Sensing, Vol. 39,
No. 5, May, pp.1073-1083. Full
pdf file
56. Chen, J. M. and S. G. Leblanc, 2001. Multiple-scattering
scheme useful for hyperspectral geometrical optical modelling.
IEEE Transactions on Geoscience and Remote Sensing
Vol. 39, No. 5, May, pp.1061-1071.
Full
pdf file
55. Leblanc, S. G. and J. M. Chen, 2001. A Windows Graphic
User Interface (GUI) for the Five-Scale model for fast BRDF
simulations. Remote Sensing Reviews 19:293-305.
54. Chen, W., J. M. Chen, J. Cihlar, 2000. Integrated terrestrial
ecosystem carbon-budget model based on changes in disturbance,
climate, and atmospheric chemistry. Ecological Modelling
135: 55-79. Full
pdf file
53. Chen, J. M., W. Chen, J. Liu, J. Cihlar, 2000. Annual
carbon balance of Canada's forests during 1895-1996. Global
Biogeochemical Cycle, Vol. 14 , No. 3 , Pp 839-850.
Full
pdf file
52. Chen, W., J. M. Chen, J. Liu, and J. Cihlar, 2000.
Approaches for reducing uncertainties in regional forest carbon
balance', Global Biogeochemical Cycle, Vol. 14 , No.
3 , Pp 827-838.
Full
pdf file
51. Chen, J. M., X. Li, T. Nilson, and A. Strahler, 2000.
Recent advances in geometrical optical modelling and its applications.
Remote Sensing Reviews, Vol 18, no. 2-4, Pp 227-262.
50. Chen, W., J. M. Chen, D. T. Price, J. Cihlar, and
J., Liu, J. 2000. Carbon offset potentials of four alternative
forest management strategies in Canada: A simulation study.
Mitigation and Adaptation Strategies for Global Change
5(2):143-169. Full
pdf file
49. Amiro, B. D., J. M. Chen and J. Liu, 2000. Net primary
productivity following forest fire for Canadian ecoregions.
Canadian Journal for Forest Research, 30:939-947. Full
pdf file
48. Brown, L. J., J. M. Chen, and S. G. Leblanc, 2000. Short
wave infrared correction to the simple ratio: an image and
model analysis. Remote Sensing of Environment, 71:16-25.
Full
pdf file
47. Cihlar, J., R. Latifovic, J. M. Chen, J. Beaubien, Z.
Li, 2000. Selecting representative high resolution sample
images for land cover studies. Part 1: methodology. Remote
Sensing of Environment, 71:26-42. Full
pdf file
46. Cihlar, J., R. Latifovic, J. M. Chen, J. Beaubien, Z.
Li, 2000. Selecting representative high resolution sample
images for land cover studies. Part 2: application to estimating
land cover composition. Remote Sensing of Environment
. 72:127-138. Full
pdf file
45. Cihlar, J., R. Latifovic, J. M. Chen., and Z. Li. 1999.
"Testing near-real time detection of contaminated pixels
in AVHRR composites," Canadian Journal for Remote
Sensing, 25: 160-170.
44. Chen, J. M., S. G. Leblanc, J. R. Miller, J. Freemantle,
S. E. Loechel, C. L. Walthall, K. A. Innanen, H. P.White,
1999. Compact Airborne Spectrographic Imager (CASI) used for
Mapping Biophysical Parameters of Boreal Forests. Journal
of Geophysical Research-Atmosphere, 104 (D22):27,945-27,948.
Full
pdf file
43. Liu, J., J. M. Chen, J. Cihlar, and W. Chen. 1999. Net
primary productivity distribution in the BOREAS study region
from a process model driven by satellite and surface data.
Journal of Geophysical Research, vol. 104, No. D22,
pages 27,735-27,754.
42. Chen, J. M., J. Liu, J. Cihlar and M. L. Guolden, 1999.
Daily canopy photosynthesis model through temporal and spatial
scaling for remote sensing applications. Ecological Modelling,
124:99-119. Full
pdf file
41. Chen, J. M., 1999. Spatial scaling of a remotely sensed
surface parameter by contexture. Remote Sensing of Environment
69:30-42.
Full
pdf file
40. Chen, J. M., S. G. Leblanc, J. Cihlar, R. Desjardins
and J. I. MacPherson, 1999. Extending aircraft and tower-based
CO2 flux measurements to a boreal region using a Landsat TM
landcover map. Journal of Geophysical Research-Atmosphere
104: 16859-16877.
Full
pdf file
39. Leblanc, S. G., P. Bicheron, J. M. Chen, M. Leroy, and
J. Cihlar. 1999. Investigation of bidirectional reflectance
of boreal forests using airborne POLDER and the 4-scale model.
IEEE Transactions on Geoscience and Remote Sensing
37:1396-1414. Full
pdf file
38. Cihlar, J., J. M. Chen, Z. Li, F. Huang, and R. Latifovic,
and R. Dixon. 1998. Can interannual land surface signal be
discerned in composite AVHRR data? Journal of Geophysical
Research 103: 23163-23172.
Full
pdf file
37. Cihlar, J., Q. Xiao, J. M. Chen, J. Beaubien, K. Fung,
and R. Latifovic, 1998. Classification by progressive generalization:
a new automated methodology for remote sensing multichannel
data. International Journal of Remote Sensing. 19:
2685-2704. Full
pdf file
36. Chen, J. M. and J. Cihlar, 1997, A hotspot function in
a simple bidirectional reflectance model for satellite applications.
Journal of Geophysical Research, 102:25,907-25,913.
Full
pdf file
35. Chen, J. M. and S. Leblanc, 1997. A 4-scale bidirectional
reflection model based on canopy architecture. IEEE Transactions
on Geoscience and Remote Sensing. 35:1316-1337. Full
pdf file
34. Chen, J. M., P. M. Rich, T. S. Gower, J. M. Norman, S.
Plummer, 1997. Leaf area index of boreal forests: theory,
techniques and measurements. Journal of Geophysical Research.
102:29,429-29,444.
Full
pdf file
33. Chen, J. M., P. Blanken, T. A. Black., M. Guilbeault,
and S. Chen, 1997. Radiation regime and canopy architecture
of a boreal aspen forest. Agricultural and Forest Meteorology,
86:107-125. Full
pdf file
32. Cihlar, J., J. M. Chen, Z. Li, 1997. Seasonal AVHRR composite
multichannel data sets for scaling up. Journal of Geophysical
Research. 102:29,625-29,640.
31. Cihlar, J., J. M. Chen and Z. Li, 1997. On the validation
of satellite-derived products for land applications. Canadian
Journal for Remote Sensing 23:381-389.
30. Leblanc, S. G., J. M. Chen and J. Cihlar, 1997. Directionality
of NDVI in boreal forests. Canadian Journal for Remote
Sensing 23:369-380.
29. Liu, J., J. M. Chen, J. Cihlar, and W. Park, 1997, A
process-based Boreal Ecosystems Productivity Simulator using
remote sensing inputs. Remote Sensing of Environment
62:158-175.
Full pdf file
28. Miller, J. R., H. P. White, J. M. Chen, G. McDermid,
D. Peddle, R. Fournier, P. Shephard, I. Rubinstein, J. Freemantle,
R. Soffer, E. LeDrew, 1997, Seasonal change in the mean understory
reflectance at BOREAS flux-tower sites and its application
to canopy vegetation index determination. Journal of Geophysical
Research. 102:29,475-29,482.
Full
pdf file
27. Cihlar, J., J. Beaubien, Q. Xiao, J. M. Chen, Z. Li,
1997. Land cover of the BOREAS Region from AVHRR and Landsat
data. Canadian Journal of Remote Sensing, 23:163-175.
26. Cihlar, J. H. Ly, Z. Li, J. M. Chen, H. Pokrant, and
F. Huang, 1997. Multitemporal, multichannel AVHRR data sets
for land biosphere studies: artifacts and corrections. Remote
Sensing of Environment 60:35-57.
Full pdf file
25. Loechel, S. E., C. L. Walthall, E. Brown de Colstoun,
J. M. Chen, B. L. Markham, and J. Miller, 1997. Model-based
analysis of canopy and understory reflectances at BOREAS.
Journal of Geophysical Research. 102:29,495-29,494.
24. Chen, J. M. and J. Cihlar, 1996. Retrieving leaf area
index for boreal conifer forests using Landsat TM images.
Remote Sensing of Environment, 55:153-162.
Full pdf file
23. Chen, J. M., 1996. Optically-based methods for measuring
seasonal variation in leaf area index of boreal conifer forests.
Agricultural and Forest Meteorology 80:135-163. Full
pdf file
22. Chen, J. M., 1996. Canopy architecture and remote sensing
of the fraction of photosynthetically active radiation in
boreal conifer stands. IEEE Transactions on Geoscience
and Remote Sensing 34:1353-1368. Full
pdf file
21. Chen, J. M., 1996. Evaluation of vegetation indices and
a modified simple ratio for boreal applications. Canadian
Journal of Remote Sensing, 22:229-242. Full
pdf file
20. Liu, J., J. M. Chen, T. A. Black and M. D. Novak, 1996.
E-e modeling of turbulent airflow downwind of a model forest
edge. Boundary-Layer Meteorology, 77:21-44.
19. Chen, J. M. and J. Cihlar, 1995. Quantifying the effect
of canopy architecture on optical measurements of leaf area
index using two gap size analysis methods. IEEE Transactions
on Geoscience and Remote Sensing 33:777-787. Full
pdf file
18. Chen, J. M. and J. Cihlar, 1995. Plant canopy gap size
analysis theory for improving optical measurements of leaf
area index. Applied Optics, 34:6211-6222. Full
pdf file
17. Chen, J. M. and T. R. Oke, 1994, Mixed-layer heat advection
and entrainment during the sea breeze. Boundary-Layer Meteorology,
68:139-158.
16. Chen, J. M., T. A. Black, D. T. Price and R. Carter,
1993. Model for calculating photosynthetic photon flux densities
in forest openings on slope. Journal of Applied Meteorology,
32:1656-1665.
15. Smith, N. J., J. M. Chen, and T. A. Black. 1993. Effects
of foliage clumping on estimates of stand leaf area density
using the LICOR LAI-2000. Canadian Journal of Forest Research,
23:1940-1943.
14. Chen, J. M. and T. A. Black, 1992. Foliage area and architecture
of clumped plant canopies from sunfleck size distributions.
Agricultural and Forest Meteorology, 60:249-266.
13. Chen, J. M. and T. A. Black, 1992. Defining leaf area
index for non-flat leaves. Plant, Cell and Environment,
15:421-429.
12. Chen, J. M., T. A. Black and R. S. Adams, 1991. Evaluation
of hemispherical photography for determining plant area index
and geometry of a forest stand. Agricultural and Forest
Meteorology, 56:129-143.
11. Chen, J. M. and T. A. Black, 1991. Measuring leaf area
index of plant canopies with branch architecture. Agricultural
and Forest Meteorology, 57:1-12.
10. Black, T. A., J. M. Chen, X. Lee and R. Sagar, 1991.
Characteristics of shortwave and longwave irradiances under
a Douglas-fir forest stand. Canadian Journal of Forest
Research, 21:1020-1028.
9. Yang, B. and J. M. Chen, 1990, Two-dimensional numerical
analysis for evaporation process of bare soil. Acta Ecologica
Sinica, 10:290-298.
8. Chen, J. M. and R. H. Zhang, 1989, Studies on the measurements
of crop thermal emissivity and sky temperature. Agricultural
and Forest Meteorology, 49:23-34.
7. Chen, J. M., B. J. Yang and R. H. Zhang, 1989, Soil thermal
emissivity as affected by its water content and surface treatment.
Soil Science, 148:433-435.
6. Chen, J. M., A. Ibbetson and J. R. Milford, 1988, Boundary
layer resistances of artificial leaves in turbulent air, I:
leaves parallel to the mean flow. Boundary-Layer Meteorology,
45:137-156.
5. Chen, J. M., A. Ibbetson and J. R. Milford, 1988, Boundary
layer resistances of artificial leaves in turbulent air, II:
leaves inclined to the mean flow. Boundary-Layer Meteorology,
45:371-390.
4. Chen, J. M., 1988, A critical fault in currently used
remote-sensing evapotranspiration models and its correction.
Chinese Science Bulletin, 33:454-457.
3. Chen, J. M., 1988, A model for angular distribution of
sky longwave radiation. Chinese Science Bulletin, 33:1498-1501.
2. Chen, J. M. and D. Y. Yang, 1988, A comparison of evapotranspiration
rates obtained from a remote sensing method and a lysimeter.
Chinese Science Bulletin, 33:1577-1579.
1. Chen, J. M., 1988, Turbulent exchange between plants and
atmosphere: a review of higher-order closure models and the
turbulent trajectory theory. Geographical Research,
7:94-101.
There are many articles available
for reading online and download. See "Publications"
b. Books and/or Chapters
27. Croft, H., and J. M. Chen, 2018. Remote Sensing of Leaf Pigments. Chapter in Comprehensive Remote Sensing, edited by Shunlin Liang, Elsevier, Oxford, Pages 117-142, ISBN 9780128032213, DOI: 10.1016/B978-0-12-409548-9.10547-0.
26. Gonsamo, A., and J. M. Chen, 2018. Vegetation Primary Productivity. Chapter in Comprehensive Remote Sensing Volume 3, edited by Shunlin Liang, Elsevier, Oxford, Pages, 163-189. ISBN 9780128032213, DOI:10.1016/B978-0-12-409548-9.10535-0.
25. Chen, J. M., 2018. Remote Sensing of Leaf Area Index and Clumping Index. Chapter in Comprehensive Remote Sensing, Volume 3, edited by Shunlin Liang, Elsevier, Oxford, Pages 53-77, ISBN 9780128032213, DOI: 10.1016/B978-0-12-409548-9.10540-8
24. Chen, J. M., J. Whitney, J. Pan. 2016. Impact of Canada-China Environmental Research. Chapter in "Transforming Canada-China Educational Cooperation: Significant Legacies and Future Challenges" edited by R. Hayhoe, McGill University Press.
23. Liu, Y., R. Liu, and J. M. Chen, 2015. A long-term global leaf area index product retrieved using remote sensing data. Chapter 1, in "Terrestrial Remote Sensing and Global Carbon Assimilation Methods", edited by J. M. Chen et al., Pp. 1-18. China Science Press. ISBN 978-7-03-045959-6.
22. Chen, J. M., L. He, and R. Shang, 2015. Retrieval of vegetation clumping index using multi-angle remote sensing data. Chapter 2, in "Terrestrial Remote Sensing and Global Carbon Assimilation Methods", edited by J. M. Chen et al., Pp. 19-47.. China Science Press. ISBN 978-7-03-045959-6.
21. Jiao T., R. Liu, Y. Liu, and J. M. Chen, 2015. Retrieval of the reflectance of forest understorey using multi-angle remote sensing data. Chapter 3, in "Terrestrial Remote Sensing and Global Carbon Assimilation Methods", edited by J. M. Chen et al., Pp. 48-68. China Science Press. ISBN 978-7-03-045959-6.
20. Chen, J. M., and F. Jiang, 2015. Theory and methods of estimating the terrestrial carbon flux through atmospheric inversion. Chapter 13, In "Terrestrial Remote Sensing and Global Carbon Assimilation Methods", edited by J. M. Chen et al., Pp. 246-253. China Science Press. ISBN 978-7-03-045959-6.
19. Chen, J. M., F. Deng, and G. Mo, 2015. A nested atmospheric inversion system with a focus on North America and its results. Chapter 16, in "Terrestrial Remote Sensing and Global Carbon Assimilation Methods", edited by J. M. Chen et al., Pp. 288-301. China Science Press. ISBN 978-7-03-045959-6.
18. Jiang, F., H. Wang, J. M. Chen, 2015. A nested atmospheric inversion system centred on China and its results. Chapter 17, in "Terrestrial Remote Sensing and Global Carbon Assimilation Methods", edited by J. M. Chen et al., Pp. 302-323. China Science Press. ISBN 978-7-03-045959-6.
17. Chen, J. M., and F. Jiang, 2015. Improving and implementing a global carbon assimilation system. 2015. Chapter 18, in "Terrestrial Remote Sensing and Global Carbon Assimilation Methods", edited by J. M. Chen et al., Pp. 324-326. China Science Press. ISBN 978-7-03-045959-6.
16. Zhang, S., X. Zheng, J. M. Chen, Z. Chen, G. Wu., 2015. Global Carbon Assimilation System based on an improved Kalman Filter. Chapter 19, in "Terrestrial Remote Sensing and Global Carbon Assimilation Methods", edited by J. M. Chen et al., Pp. 327-339. China Science Press. ISBN 978-7-03-045959-6.
15. Li, Y., H. Zheng, J. M. Chen, W. Huang, B. Huang, L. Wang, S. Han, Y. Zhang, Y. Sheng, G. Wu. 2015. Global Carbon Assimilation System based on a dual optimization method. Chapter 20, in "Terrestrial Remote Sensing and Global Carbon Assimilation Methods", edited by J. M. Chen et al., Pp. 340-358. China Science Press. ISBN 978-7-03-045959-6.
14. Chen, Z., J. M. Chen, X. Zheng, Y. Qin, F. Jiang, S. Zhang, W. Ju, G. Mo., 2015. Ecosystem model parameter optimization based on atmospheric carbon flux inversion results. Chapter 21, in "Terrestrial Remote Sensing and Global Carbon Assimilation Methods", edited by J. M. Chen et al., Pp. 359-367. China Science Press. ISBN 978-7-03-045959-6.
13. Song C., J. M. Chen, T. Hwang, A.Gonsamo, H. Croft, Q. Zhang, M. Dannenberg, Y. Zhang, C. Hakkenberg, and J. Li. 2015. Ecological Characterization of Vegetation Using Multi-Sensor Remote Sensing in the Solar Reflective Spectrum. Chapter in "Remote Sensing Handbook" edited by P. S. Thenkabail, CRC Press. ISBN 9781482217957-CAT#K22130.
12. Chen, J. M., 2013. Remote sensing of the leaf area index of vegetation covers. Chapter in Remote Sensing of Natural Resources, CRC Press.
11. Chen, J.M., 2013. Introduction to global terrestrial carbon cycle and modeling and measurement techniques. Chapter in Review of Global Change Research (in Chinese), edited by P. Gong and S. Liang. Pp. 90-112. Higher Education Press, Beijing, ISBN978-7-04-033452-4.
10. Govind, A., and J. M. Chen, 2009. Mapping terrestrial carbon sources and sinks through remote sensing and modeling. Chapter in the book "Geomatics in Natural Resources Management". Eds: P. K. Joshi, P. Pani, S. N. Mohapatra. Nova Science Publishers, Inc. ISBN:978-160692-211-8.
9. Chen, J. M., 2009. Methods for simulating the spatiotemporal dynamics of the terrestrial ecosystem carbon cycle. Chapter in "Advanced Topics in Human Activity and Changes in Ecosystems" ed. by Dr. G. Yu et al., China High Education Press.
8. Cihlar, J. R. Latifovic, J. Beaubien, A. Trishchenko, J. M. Chen, and G. Fedosejevs, 2003. National scale forest information extraction from coarse and medium resolution satellite data. Part 1: data preprocessing and mapping land cover types. Chapter in "Methods and Applications for Remote Sensing of Forests: Concepts and Case Studies", Pp. 337-358, ed. by M. Wulder and S. Franklin, Kluwer Academic Publishers, Boston
7. Cihlar, J. R. Fernandes, R. Fraser, J. M. Chen, W. Chen, R. Latifovic, J. Liu, and Z. Li, 2003. National- scale forest information extraction from coarse resolution satellite data. Part 2: Forest biophysical parameters and processes. Chapter in "Methods and Applications for Remote Sensing of Forests: Concepts and Case Studies", Pp. 359-388, ed. by M. Wulder and S. Franklin, Kluwer Academic Publishers, Boston
6. Hall, F. G., A. K. Betts, S. Frolking, R. Brown, J. M. Chen, W. Chen, S. Halldin, D. Lettenmaier, and J. Schafer, 2004. The Boreal Climate. In Vegetation, Water, Humans and the Climate: A New Perspective on An Interactive System, Pp. 93-114, edited by Kabat et al. Springer, New York.
5. Chen, J. M., 1999. BOREAS RSS-07: Ground Measurements of LAI and FPAR. BOREAS Information System, DAAC CDROM. 22 Pages.
4. Chen, J. M., and J. Cihlar, 1999. BOREAS RSS-07: Regional LAI and FPAR Images From 10-day AVHRR-LAC Composites. BOREAS Information System, DAAC CDROM. 16 Pages.
3. Chen, J. M., and X. Geng, 1999. BOREAS RSS-07: LAI images from Landsat TM over Southern Study Area and Northern Study Area. BOREAS Information System, DAAC CDROM. 12 Pages.
2. Liu, J., J. M. Chen, and J. Cihlar, 1999. BOREAS RSS-16: regional net primary productivity map. BOREAS Information System, DAAC CDROM, 12 pages.
1. Chen, J. M., T. A. Black, and M. D. Novak, 1995. A wind-tunnel study of turbulent air flow in forest openings. Wind and Trees. ed. by M. P. Coutts and J. Grace. Chapter 4. Cambridge University Press. Pp. 71-87.
c. Books or Special Issue Edited
5. Chen, J. M., 2017. Remote Sensing of Terrestrial Ecosystems, as a part of a book series entitled "Comprehensive Remote Sensing" edited by S. Liang, Elsevier.
4. Chen, J. M., W. Ju, R. Liu, Y., Li, and F. Jiang, 2015. Terrestrial Remote Sensing and Global Carbon Assimilation Methods. Edited book, China Science Press. Pp. 371. ISBN 978-7-03-045959-6.
3. Chen, J. M., P. White, 2008. Quantitative retrieval of
surface properties from optical remote sensing: Advancing
applications with models. Canadian Journal of Remote Sensing.
Special issue.
2. Chen, J. M., S. Thomas, Y. Yin, 2007. Carbon Sequestration
in China's Forest Ecosystems. Journal of Environmental
Management. Special Issue.
1. Gong P., and J. M. Chen, 2004. Remote Sensing Applications
to Hydrological Studies. Canadian Journal of Remote Sensing.
Special Issue.
Non-Refereed Publications
-Conference proceedings (partial list, stopped tracing after 2008)
55. Chen, J. M., 2008, Upscaling the carbon flux from tower to region using remote sensing imagery. Proceedings of the International Symposium on CO2 Flux Monitoring Technology, National University of Taiwan, December 15-19, 2008.
54. Deng F., J. M. Chen, C.-W. Yuen, M. Ishizawa1, G. Mo, K. Higuchi, D. Chan, B. Chen, and S. Maksyutov, 2005, Global Monthly CO2 Flux Inversion With Focus Over North America, ICDC7, Denver, CO, USA.
53. Plummer S., O. Arino, F. Fierens, J. M. Chen, G. Dedieu, D. Di Cola, and M. Simon, 2004. The GLOBCARBON initiative: multi-sensor estimation of global biophysical products for global terrestrial carbon studies. Proceedings, 2nd VEGETATION Users Conference, Antwerp, Belgium, 24-26 May 2004, VITO.
52. Plummer S., A. Olivier, F. Fierens, J. M. Chen, G. Dedieu, S. Muriel, W. Cramer, C. Philippe, S. Quegan, S. Schultz, and J. Hoelzemann, 2004, The GLOBCARBON Initiative: multi-sensor estimation of global biophysical products for global terrestrial carbon studies. ENVISAT-ERS SYMPOSIUM PROCEEDINGS, Salzburg, Austria, 6-10 Sept 2004, European Space Agency, SP-572-ENVISAT.
51. Chen, B., J. M. Chen, K. Higutchi, D. Chan, and A. Shashkov, 2002. A Model for Interpreting High-Tower CO2 Concentration Records for the Surface Carbon Balance Information, AGU 2002 Spring Meeting, Published as a supplement to Eos, Transactions, American Geophysical Union, Vol. 83, 19.p. 112.
50. Shen, S., J. M. Chen, L, Huang, B. Chen, K. Higuchi, D. Chan, A. Shashkov, 2002, Simulation of Carbon and Oxygen Isotopic Compositions of Air CO2 in a Black Spruce Stand, AGU 2002 Spring Meeting, Abstract Published as a supplement to Eos, Transactions, American Geophysical Union, Vol. 83, No.19, p.99
49. Leblanc, S. G., J. M. Chen , H. P. White, R. Latifovic, R. Fernandes, J.-L. Roujean and R. Lacaze.Mapping leaf area index heterogeneity over Canada using directional reflectance and anisotropy models.Proceedings of International Geoscience and Remote Sensing Society, 24-28 June 2002, Toronto.
48. Leblanc, S. G., R. Fernandes and J. M. Chen. Recent advancements in optical field leaf area index, foliage heterogeneity, and foliage angular distribution measurements. Proceedings of International Geoscience and Remote Sensing Society, 24-28 June 2002, Toronto
47. Zelic, A., J. M. Chen, J. Liu, F. Csillag. Algorithms for spatial scaling of net primary productivity using subpixel information. International Geoscience and Remote Sensing Symposium (IGARSS), Toronto, Canada, June 24-28, 2002.
46. Leblanc, S. G., S. Wang, R. Fernandes, H. Peter White, J. M. Chen. Implication of foliage spatial and angular distributions in environmental studies. Proceedings of 23rd Canadian Society of Remote Sensing Quebec City, August 21-24, 2001. 6 Pages
45. Fernandes, R., H.P. White, S. G. Leblanc, G. Pavlic, H. McNairn, J.M. Chen, D. King, E. Seed, I. Olthof, R. Hall. Examination of Error Propagation in Relationships between Leaf Area Index
and Spectral Vegetation Indices from Landsat TM and ETM. Proceedings of 23rd Canadian Society of Remote Sensing, Quebec City, August 21-24, 2001. 6 Pages.
44. White, H. P., S. G. Leblanc, J. M. Chen, R. Lacaze, and J.-L. Roujean. Mapping biophysical parameters with modeled and inverted functions from directional satellite measurements. Proceedings of 23rd Canadian Society of Remote Sensing, Quebec City, August 21-24, 2001. 6 Page.
43. Chen, J. M., J. Cihlar, W. Chen, W. Ju, J. Liu, D. Price, B. Amiro, A. Black, A. Barr, and H. McCaughey, 2001 Spatial Distribution of Terrestrial Carbon Sources and Sinks Based on Remote Sensing. Proceedings of the Sixth International Conference on Carbon Dioxide. October 2001, Sendai, Japan. 4 Pages.
42. Liu, J., J. M. Chen, J., and J. Cihlar, 2001. Estimating Canada-wide evapotranspiration based on remote sensing, The GEWEX workshop, Hamilton, Ontario, 7-9 November 2001. 6 pages
41. Chan, D., K. Yuen, J. Liu, A. Shashkov, K. Higuch, and J. M. Chen, J., 2001. Simulation of the exchange processes between the biosphere and atmosphere at the regional scale using a coupled atmosphere-ecosystem model. Proceedings of the Sixth International Conference on Carbon Dioxide. October 2001, Sendai, Japan. 4 Pages.
40. Beaubien J. , D. Blain, J. M. Chen, J. Cihlar, R. Fernandes, R. Fraser, R. Latifovic, D. Peddle, C. Tarnocai, D. Trant, M. Wulder Satellite Information for Landcover of Canada (SILC);
Workshop Report, Ottawa, Ontario, August 14-15 , edited by: B. Guindon , 2000
39. Cihlar J., D. McKenney, A. Barr, P. Bernier, J. M. Chen, W. Chen, R. Desjardins, L. Flanagan, E. Gregorich, D. Harvey, S. Jones, R. Laprise, J. Liu, S. McGinn. CCOS-Terre Development: Needs, Initial Observing System, and Implementation Strategy; Report of a Workshop , 2000 , 59 p.
38. Chen, J. M., J. Liu, S. G. Leblanc, J.-L. Roujean, and R. Lacaze (2001) "Utility of Multi-angle Remote Sensing for Terrestrial Carbon Cycle Modeling." Proceedings of the 8th International Symposium on Physical Signatures and Measurements in Remote Sensing, Aussois, France, 8-13 January, 2001. 12 pages
37. Leblanc, S. G. J. M. Chen, P. H. White, J. Cihlar, R. Lacaze, J.-L. Roujean, R. Latifovic, (2001) "Mapping vegetation clumping index from directional satellite measurements". Proceedings of the Symposium on Physical Signatures and Measurements in Remote Sensing, Aussois, France, 8-13 January, 2001. 10 pages.
36. Peddle, D. R., R. L. Johnson, J. Cihlar, S. G. Leblanc, and J. M. Chen, 1999.MFM-5-Scale: A Physically-Based Inversion Modeling Approach for Unsupervised Cluster Labeling and Independent Landcover Classification and Description. Proceedings of 22nd Canadian Symposium on Remote Sensing. 6 pages.
35. Chen, J. M., J. Cihlar, W. Chen, and J. Liu, 1999. Assessing terrestrial carbon sinks using space-borne imageries, historical data and models: an example for boreal ecosystems. Proceedings of ALPS 99. In International Symposium on the Contribution New Generation Spaceborne Sensors to Global Change Studies (4 pages). Meribel, France, 18-22 January 1999.
34. Chen, J. M., J. Liu and J. Cihlar, 1999. A daily NPP model for temporal and spatial up-scaling for plant physiology using space-borne data. Proceedings of ALPS 99. In InternationalWorkshop on Remote Sensing and Vegetation Productivity (4 pages). Meribel, France, 18-22 January 1999.
33. Liu, J., J. M. Chen, J. Cihlar, and W. Chen, 1999. The role of remote sensing in determining multiple-year carbon absorption by Canadian forests. Abstract of IGARSS' 99, Hamburg, Germany, 28 June-02 July 1999.
32. Chen, J. M., L. Brown, J. Cihlar, S. G. Leblanc, R. J. Hall, D. Peddle, D. King, J. A. Trofymow, E. Swift, J. Verdersanden, J. Luther, M. Wulder, 1999. Validation of Canada-wide LAI/FPAR maps using satellite data. Proceedings of the Fourth International Airborne Remote Sensing Conference and Exhibition/21th Canadian Symposium on Remote Sensing, Canadian Remote Sensing Society and ERIM International, Inc., pp II-123-II-128, Ottawa, Ontario, Canada, 21-24 June 1999.
31. Liu, J., J. M. Chen, J. Cihlar, W. Chen, and G. Pavlic, 1999. Quantifying the spatial distribution of evapotranspiration with satellite data. Proceedings of the Fourth International Airborne Remote Sensing Conference and Exhibition/21th Canadian Symposium on Remote Sensing, Canadian Remote Sensing Society and ERIM International, Inc., pp I-730-I-736, Ottawa, Ontario, Canada, 21-24 June 1999.
30. Leblanc S. G. , J. M. Chen , J. R.Miller ,and J. Freemantle, 1999. Compact Airborne Spectrographic Imager (CASI) Used for Mapping LAI of Cropland; Fourth International Airborne Remote Sensing Conference and Exhibition/21st Canadian Symposium on Remote Sensing, Ottawa, Ontario, Canada, 21-24 June, pp. I-297-303.
29. Chan D. , Yuen K. , Liu J. , Higuchi K. , Chen J. M. The Coupling of a Three-dimensional Regional Atmospheric Model to a Biospheric CO2 Flux Model; American Geographic Union Fall Conference, San Fancisco, California, USA, 13-17 December , 1999
28. Chen, J. M., R.L. Desjardins, S. G. Leblanc, J. Cihlar, J. I. MacPherson, P.H. Schuepp and E. Pattey. 1998. Estimating CO2 fluxes for a wide range of cover types. Proceedings of 23rd Conference on Agricultural and Forest Meteorology (4 pages), 2-7 November. Albuquerque, New Mexico, USA.
27. Chen, J. M. J. Miller, J. Freemantle, S. G. Leblanc, M. Sarich, M. Beauchemin, P. White, K. Innanen., P. Shepherd. 1998. Radiometric and geometric analysis of airborne CASI measurements from boreal forests. Proceedings of 20th Canadian Symposium on Remote Sensing. CDROM (4 pages). Calgary, May.
26. Leblanc, S. G. and J. M. Chen. 1998. LAI measurements in deciduous and coniferous forests with two optical instruments. Proceedings of International Workshop on Scaling and Modelling in Forestry: Applications in Remote Sensing and GIS. Montreal, Quebec. Pp119-125.
25. White, H. P., J. R. Miller and J. M. Chen. 1998. Inverse BRDF modeling of BOREAS conifer stands. Proceedings of IGARSS'98: Sensing and Manageing the Environment (3 pages). Seattle, USA. 6-10 July.
24. Leblanc, S. G. and J. M. Chen. 1998. Application of the 4-Scale radiative transfer model to remote sensing of boreal forests. Proceedings of IGARSS'98: Sensing and Manageing the Environment (3 pages). Seattle, USA. 6-10 July.
23. Liu, J., J. M. Chen, J. Cihlar, M. Goulden, W. Chen, M. Sarich, 1998. A Temporal Scaling Method for Quantifying Daily Photosynthesis Using Remote Sensing Data. Proceedings of the 20th Canadian Symposium on Remote Sensing. CDROM (4 pages). Calgary, May 11-14.
22. Chen, J. M., J. Cihlar, L. Band, R. Desjardins, W. Gao, S. Goward, Z. Li, A. Royer, 1997. VEGETATION/SPOT for Northern Applications: Preliminary Results. Proceedings of 19th Canadian Symposium on Remote Sensing. CDROM (6 pages). Ottawa.
21. Chen, J. M., S. G. Leblanc, J. Cihlar, P. Bicheron, M. Leroy, D. Deering and T. Eck, 1997. Studies of BRDF in conifer and deciduous boreal forests using the 4-Scale model and airborne POLDER and ground-based PARABOLA measurements. Proceedings of IGARSS'97. (3 Pages).
20. Walthall, C. L., S. E. Loechel, K. F. Huemmrich, E. Brown de Colston, J. M. Chen. B. L. Markham, J. Miller, E. A. Walter-Shea, 1997. Spectral information content of boreal forests. Proceedings of the seventh Internation Symposium on Physical Measurements and Signatures in Remote Sensing. Courchevel, France, April 7-11. (5 pages).
19. Beaubien, J. Cihlar, Q. Xiao, J. M. Chen, K. Fung and P. Harlburt, 1997. A new, nationally consistent, satellite-derived land cover of Canada: a comparison of two methodologies. Proceedings of International Symposium on Geomatics in the Era of RADARSAT, CDROM (6 pages). Ottawa.
18. Cihlar, J., Q. Xiao, J. M. Chen, J. Beaubien, K. Fung and F. Huang, 1997. A new digital methodology for classifying multispectral images. Proceedings of International Symposium on Geomatics in the Era of RADARSAT, CDROM (6 pages). Ottawa.
17. Li, Z., J. Cihlar, and J. Chen, 1997. A remote sensing system for northern ecosystem monitoring. Proceedings of the 8th Symposium on Global Change (3 pages).
16. Staebler, R., J. Fuentes, H. Neumann, and J. Chen, 1997. Light interception by a temperate deciduous forest. Proceedings of the 8th Conference on Atmospheric Radiation (3 pages).
15. Chen, J. M., Z. Li, and J. Cihlar, 1996. Remote Sensing for sustainable forest management. Proceedings of Eco-Informa'96: Global Networks for Environmental Information. Vol. 10, pp. 385-386.
14. Chen, J. M. and J. Cihlar, 1996. Scaling effect on the retrieval of biophysical parameters using satellite-derived vegetation indices. Proceedings of the 9th Conference on Astronautics: toward the next century in space. November 13-15, Appendix.
13. Chen, J. M., J. Liu, and J. Cihlar, 1996. Boreal Ecosystems Productivity Simulator (BEPS) using remote sensing, meteorological and soil data. Abstracts of 1996 Ecological Society of America, Vol. 77, pp. 77 (abstract).
12. Chen, J. M. and M. Guilbeault, 1996. Evaluation of vegetation indices for deriving biophysical parameters of boreal forests. Proceedings of 26th International Symposium on Remote Sensing of Environment. Vancouver, Canada. Pp. 168-171.
11. Chen, J. M., 1996. A new optical instrument for measuring leaf area index based on a canopy gap size distribution theory. Preprints of 22nd Conference on Agricultural and Forest Meteorology, Pp. 413-416. Atlanta, Georgia.
10. Chen, J. M. and S. Leblanc, 1996. A four-scale directional reflectance model based on plant canopy architecture and its inversion. Proceedings of IGARSS'96: Remote Sensing for Sustainable Future, Nebraska, USA. Vol. III, pp. 1651-1653
9. Leblanc, S. G. and J. M. Chen, 1996. Inversion of the 4-scale bidirectional reflectance model based on canopy architecture. Proceedings of the 9th Conference on Astronautics: toward the next century in space. November 13-15, pp. 243-249.
8. Loechel, S. E., C. L. Walthall, E. B. de Colstoun, J. M. Chen, and B. L Markham, 1996. Spatial and temporal variability of surface cover at BOREAS using Reflectance from a helicopter platform. Proceedings of IGARSS'96: Remote Sensing for Sustainable Future, Nebraska, USA. Vol. I, pp. 586-590.
7. Chen, J. M. and J. Cihlar, 1995. Algorithms for retrieving LAI and FPAR using Landsat TM data. Digest of 17th Canadian Symposium on Remote Sensing, Pp. 586-591. Saskatoon, Canada.
6. White, H. P., J. R. Miller, J. M. Chen, and D. R. Peddle, 1995. Seasonal change in mean understory reflectance for BOREAS sites: preliminary results. Digest of 17th Canadian Symposium on Remote Sensing, Pp. 182-187. Saskatoon, Canada.
5. Chen, J. M. and T. A. Black, 1991. Deriving foliage clumping index from sunfleck size distribution beneath plant canopies. Preprint of the 20th Conference on Agricultural and Forest Meteorology, American Meteorological Society, Salt Lake City, USA. pp.127-130.
4. Lee, X., T. A. Black, J. M. Chen and R. M. Sagar, 1991. Turbulence fluxes above and within a Douglas-fir stand. Preprint of the 20th Conference on Agricultural and Forest Meteorology, American Meteorological Society, Salt Lake City, USA. pp.143-146.
3. Sagar, R. M., T. A. Black, X. Lee and J. M. Chen, 1991. Heat transfer relationships for deer in Douglas-fir stands. Preprint of the 10th Conference on Biometeorology and Aerobiology, American Meteorological Society, Salt Lake City, USA. pp.129-132.
2. Chen, J. M., J. R. Milford and A. Ibbetson, 1987, Turbulent resonance in leaf boundary Layers. Preprint of the 18th Conference on Agricultural and Forest Meteorology, American
Meteorological Society, Purdue, USA. pp.8-9,
1. Chen, J. M., 1987, A theoretical study of an evapotranspiration model using remotely sensed plant canopy temperature. Preprint of the 18th Conference on Agricultural and Forest Meteorology, American Meteorological Society, Purdue, USA. pp.134-135.
-Major Reports:
47. Chen, J. M., L. He, and J. Liu, 2020. Assimilation of Global Soil Moisture Data from SMAP in an Ecosystem model. Supplementary to the Final Report to the Canadian Space Agency, 12 pages
46. Chen, J. M., L. He, J. Liu, J. Shang, and J. G. Liu. 2020. Integration of Radarsat-2 and Sentinel-2 datasets for crop identification and biomass estimation. Final report to Canadian Space Agency. 16 pages
45. Chen, J. M. and A. Gonsamo, 2020. Modelling Forest Biomass in the Far North. Final report to Ontario Ministry of Natural Resources. 18 pages.
44. Chen, J. M. and A. Gonsamo, 2019. Modelling Forest Biomass in the Far North. Progress report to Ontario Ministry of Natural Resources. 26 pages.
43. Chen, J. M., L. He, J. Liu, J. Shang, and J. G. Liu. Integration of Radarsat-2 and Sentinel-2 datasets for crop identification and biomass estimation. Progress report to Canadian Space Agency. 15 pages
42. Chen, J. M., L. He, and J. Liu, 2019. Assimilation of Global Soil Moisture Data from SMAP in an Ecosystem model. Final Report to the Canadian Space Agency, 10 pages
41. Chen, J. M., L. He, and J. Liu, 2018. Assimilation of Global Soil Moisture Data from SMAP in an Ecosystem model. Third Progress Report to the Canadian Space Agency, 10 pages
40. Chen, J. M., L. He, and J. Liu, 2017. Assimilation of Global Soil Moisture Data from SMAP in an Ecosystem model. Second Progress Report to the Canadian Space Agency, 9 pages.
39. Chen, J. M., and A. Gonsamo, 2017. Assessing the Impact of Climate Change on Carbon Cycles in Ontario�s Far North. Final Report to Ontario Ministry of Environment and Climate Change. 25 pages.
38. Chen, J. M., L. He, and J. Liu, 2016. Assimilation of Global Soil Moisture Data from SMAP in an Ecosystem model. First Progress Report to the Canadian Space Agency, 9 pages.
37. Chen, J. M., and A. Gonsamo, 2016. Assessing the Impact of Climate Change on Carbon Cycles in Ontario's Far North. Phase 2 Progress. Report to Ontario Ministry of Environment and Climate Change. 23 pages.
36. Chen, J. M., L. He, and J. Liu, 2015. Assimilating Soil Moisture Data in an Ecosystem Model for SMAP Applications. Final Report to the Canadian Space Agency, 12 pages.
35. Chen, J. M., and A. Gonsamo, 2015. Assessing the Impact of Climate Change on Carbon Cycles in Ontario's Far North. Progress. Report to Ontario Ministry of Environment and Climate Change. 16 pages.
34. Chen, J. M., C. Wu., A. Gonsamo, and K. Chang, 2014. Towards Developing the Next Generation of the Carbon Budget Model of the Canadian Forest Sector. Final Report to Natural Science and Engineering Council of Canada. 12 pages.
33. Birdsey, R. Y. Pan, M. Janowial, S. Stewart, S. Hines, L. Parker, S. Gower, J. Lichstein, K. McCullough, F. Zhang, J. M. Chen, David Mladenoff, C. Wayson and C. Swanston. Past and prospective carbon stocks in forests on northern Wisconsin: a report from the Chequamegon-Nicolet National Forest Climate Change Response Framework. US Forest Service, USDA. 52 pages.
32. Chen, J. M., and A. Gonsamo, 2013. Forest carbon budget of far north Ontario under future climate change and fire disturbance scenarios results. Report to Ontario Ministry of Natural Resources. 13 pages.
31. Chen, J. M., and P. Czurylowizs, 2012. Mapping the forest carbon flux and stock in the Ontario far north using remote sensing and projecting their changes under future climate scenarios. Final report to Ontario Ministry of Natural Resources. 29 pages.
30. Chen, J. M., and P. Czurylowizs, 2011. Forest carbon cycle of Ontario far north: field measurements, remote sensing and modeling. Progress report to Ontario Ministry of Natural Resources. 26 pages.
29. Chen, J. M., 2011. Regional carbon cycle estimation using bottom-up and top-down approaches, as part of the Canadian Carbon Program. Final report to the Canadian Foundation for Climate and Atmospheric Sciences. 17 pages.
28. Chen, J. M., 2010, Nested global inversion for North America carbon budget using 13C as an additional constraint. Final report to the Canadian Foundation for Climate and Atmospheric Sciences. 29 pages.
27. Chen, J. M., 2010. Regional carbon cycle estimation using bottom-up and top-down approaches, as part of the Canadian Carbon Program. Progress report to the Canadian Foundation for Climate and Atmospheric Sciences. 11 pages.
26. Chen, J. M., 2009, Regional carbon cycle estimation using bottom-up and top-down approaches, as part of the Canadian Carbon Program. Progress report to the Canadian Foundation for Climate and Atmospheric Sciences. 11 pages.
25. Chen, J. M. and A. Simic, 2009, Refining the concept of combining hyperspetral and multi-angle sensors for land surface applications. Final report to the Canadian Space Agency and Technology Transfer Plan, 73 pages.
24. Chen, J. M., 2008, Nested global inversion for North America carbon budget using 13C as an additional constraint. Progress report to the Canadian Foundation for Climate and Atmospheric Sciences. 10 pages.
23. Chen, J. M., 2008, Regional carbon cycle estimation using bottom-up and top-down approaches, as part of the Canadian Carbon Program. Progress report to the Canadian Foundation for Climate and Atmospheric Sciences. 12 pages.
22. Chen, J. M., 2007, Nested global inversion for North America carbon budget using 13C as an additional constraint. Progress report to the Canadian Foundation for Climate and Atmospheric Sciences. 14 pages.
21. Chen, J. M. and A. Simic, 2007, Refining the concept of combining hyperspetral and multi-angle sensors for land surface applications. Progress report to the Canadian Space Agency (Milestone 3), 33 pages.
20. Chen, J. M. and A. Simic, 2007, Refining the concept of combining hyperspetral and multi-angle sensors for land surface applications. Progress report to the Canadian Space Agency (Milestone 2), 28 pages.
19. Chen, J. M. and A. Simic, 2006, Refining the concept of combining hyperspetral and multi-angle sensors for land surface applications. Progress report to the Canadian Space Agency (Milestone 1), 26 pages.
18. Chen, J. M., and K. Higuchi, 2006. Ecosystem-coupled, nested atmospheric inversion for carbon cycle over Canada's landmass. Final report to Canadian Foundation for Climate and Atmospheric Sciences, 8 pages
17. Chen, J. M. 2005. Tall tower CO2 measurements and modeling. Progress report to Canadian Foundation for Climate and Atmospheric Sciences. 4 pages
16. Chen, J. M., and K. Higuchi, 2005. Ecosystem-coupled, nested atmospheric inversion for carbon cycle over Canada's landmass. Progress report to Canadian Foundation for Climate and Atmospheric Sciences, 8 pages
15. Chen J. M., and A. Simic, 2005. Hyperspectral retrieval of canopy structural and leaf chemical parameters. Final report to Canadian Forest Service, Victoria (scientific authority: Dr. D. Goodenough), 18 pages.
14. Chen J. M., and A. Simic, 2004. Hyperspectral retrieval of canopy structural and leaf chemical parameters. Progress report to Canadian Forest Service, Victoria (scientific authority: Dr. D. Goodenough), 5 pages.
13. Chen, J. M., and K. Higuchi, 2004. Ecosystem-coupled, nested atmospheric inversion for carbon cycle over Canada's landmass. Progress report to Canadian Foundation for Climate and Atmospheric Sciences, 7 pages.
12. Chen, J. M., 2003. Retrieving carbon cycle information at the landscape level using air CO2 measurements. Final report to Canadian Foundation for Climate and Atmospheric Sciences. 12 pages. 12/03
11. Chen, J. M., and F. Deng, 2003. Algorithms for Global LAI/FAPAR Estimation Using VGT and ATSR Satellite Imagery. Report to ESRIN, European Space Agency, GLBC/ESL-LAI-LUT, 81 pages. 02/10/03
10. Chen, J. M., M. Chen, F. Deng, 2003. Cubic Spline Smoothing (Modified LOESS) of the Seasonal Trajectory of Leaf Area. Report to ESRIN, European Space Agency, GLBC/ESL-LOESS, 21 pages. 30/08/03
9. Plummer, S., J. M. Chen., G.. Dedieu, and M. Simpson, 2002. GLOBCARBON Expert Support Laboratory Input and Output Definition, ESRIN, European Space Agency. GLBC/ESL/IODD version 1.0, 93 pages.
8. Cihlar,J., M. Heimann and R. Olson, G. Alexandrov, A. Belward, L. Brown, J. M. Chen, W. Chen, W. Cohen, R. Francey, J. Gosz, S. Gower, T. Igarashi, N. Jensen, P. Kabat, C. Liu, J. Morisette, F. Nachtergaele, S. Nilsson, D. Ojima, T. Parr, S. Plummer, M. Saket, R.Scholes, G. Seufert, J. Townshend, J. Tschirley, M. Wulder. "Terrestrial Carbon Observation" 5-8 June 2001, Frascati, Italy. Environment and Natural Resources Service Sustainable Development Department Food And Agriculture Organization of the United Nations. Rome, 2002. ISBN 92-5-104844-4.
7. Cihlar, J., A.S. Denning and J. Gosz. F. Ahern, F. Bretherton, J. M. Chen, C. Dobson, C. Gerbig, R. Gibson, R. Gommes, T. Gower, K. Hibbard, T. Igarashi, R. Olson, C. Potter, M. Raupach, S. Running, J. Townshend, D. Wickland, Y. Yasuoka. "Terrestrial Carbon Observation" The Ottawa assessment of requirements, status and next steps. 8-11 February 2000, Ottawa, Canada Environment and Natural Resources Service, Sustainable Development Department Food And Agriculture Organization of the United Nations. Rome, 2002. ISBN 92-5-104801-0
6. Chen, J. M., J. Cihlar, L. Band, R. Desjardins, W. Gao, S. Goward, Z. Li, and A. Royer, 2000. VEGETATION/SPOT for Northern Applications: Final Post-launch Report to International VEGETATION Users Committee, Toulouse, France. 42 pages.
5. Chen, J. M., J. Cihlar, L. Band, R. Desjardins, W. Gao, S. Goward, Z. Li, and A. Royer, 1998. VEGETATION/SPOT for Northern Applications: Final Pre-launch Report to International VEGETATION Users Committee, Toulouse, France. 38 pages.
4. Chen, J. M., J. Cihlar, L. Band, R. Desjardins, W. Gao, S. Goward, Z. Li, and A. Royer, 1997. VEGETATION/SPOT for Northern Applications: Second Progress Report to International VEGETATION Users Committee, Toulouse, France. 10 pages
3. Chen, J. M., J. Cihlar, L. Band, R. Desjardins, W. Gao, S. Goward, Z. Li, and A. Royer, 1996. VEGETATION/SPOT for Northern Applications: First Progress Report to International VEGETATION Users Committee, Toulouse, France. 27 pages.
2. Cihlar, J, L, Band, J. Beaubien, J. M. Chen, R. Dejardins, T. Fisher, C. Holling, Z. Li, A. Royer, B. Stocks, and P. Teillet, 1995. Northern Biosphere Observation and Modelling Experiment. Progress Report to NASA Mission to Planet Earth office.
1. Bunnell, F. L., T. A. Black, J. M. Chen, L. L. Kremsater, R. Sagar, X. Lee and R. J. Ketler, 1991. Managed stands for deer winter range program: final report. NSERC (Natural Sciences and Engineering Research Council of Canada) File \#: 661-020/87.
Patents:
Patent (provisional): Chen, J. M. and A. Simic, 2008. Refining
hyperspectral and multiangle remote sensing concept for vegetation
assessment. Code US 61/126,413. 06/26/2008
Manuscripts/publications
Manuscript submmited (not yet published)
1. Gonsamo, A., M. T. Ter-Mikaelian, J. M. Chen and J. Chen. Does earlier and increased spring plant growth lead to reduced summer soil moisture and photosynthetic capacity on landscapes typical of tundra-taiga interface? Remote Sensing (submitted July 2019)
2. Fan, W., J. M. Chen, R. Wang, F. Huang, X. Wu, Q. Zhang, F. Qiu, M. Zheng, H. Du, G. Zhou, X. Xu. Reflectance and multiple scattering simulations for highly clumped and dense forest canopies. Remote Sensing of Environment (submitted February 2020).
3. Jiang, F., H. Wang, J. M. Chen, W. Ju, X. Tian, S. Feng, G. Li, Z. Chen, S. Zhang, X. Lu, J. Liu, H. Wang, J. Wang, W. He, and M. Wu. Regional CO2 Fluxes during 2010-2015 Inferred from GOSAT XCO2 retrievals using a new version of Global Carbon Assimilation System. Atmospheric Chemistry and Physics, (submitted April 2020, MS No.: acp-2020-421).
4. Wang, R., J. M. Chen, L. He, J. Shang, J. Liu, T. Dong and J. Liu A novel semi-empirical model for crop leaf area index retrieval using RADARSAT-2 co- and cross-polarizations. ISPRS Journal of Photogrammetry and Remote Sensing (submitted May 2020).
5. Xie, X., J. M. Chen, P. Gong, J. Leng, and A. Li. Effect of surface heterogeneity on multi-scale estimation of gross primary productivity. Journal of Hydrology (submitted June 2020).
6. Liu, Y., J. M. Chen*, L. He, Z. Zhang, R. Wang, C. Rogers, W. Fan, G. de Oliveira, X. Xie. Non-linearity between gross primary production and far-red solar-induced chlorophyll fluorescence emitted from major biomes. Remote Sensing of Environment (submitted June 2020).
7. Xu, M., R. Liu*, J. M. Chen, A. Wolanin, Y. Liu, H. Croft, L. He, W. Ju, Y. Zhang, Y. He. Generation of long-term global leaf chlorophyll content from MODIS imagery. Remote Sensing of Environment (submitted August 2020).
8. Xu, M., R. Liu*, J. M. Chen, Y. Liu, L. Qi, A. Wolanin, H. Croft. Retrieving the seasonal variation of leaf chlorophyll content from MERIS images using a neural network method. ISPRS Journal of Photogrammetry and Remote Sensing (submitted August 2020).
9. Yi*, L., J. M. Chen*, G. Zhang, X. Xu, X. Ming, W. Guo. Mosaicking push broom hyperspectral UAV images over complex scenes. Sensors (submitted September 2020, revision submitted January 2021).
10. Liu, Y., R. Liu, J. M. Chen, R. Fu, R. Dickson, C. Wu, X. Cheng, W. Li, and Q. Ge, Accelerated recession of glaciers in Tibetan Plateau since 2011 Glaciers mass loss. Science Advance (submitted November 2020).
11. Chen, B., X. Lu, S. Wang*, J. M. Chen*, Y. Liu, H. Fang, Z. Liu, and F. Jiang. The impacts of foliage clumping on the estimation of global terrestrial evapotranspiration. Water Resources Research (submitted February 2021).
12. Chen, J. M., R. Wang, Y. Liu, L. He, H. Croft, X. Luo, H. Wang, N. G. Smith, T. F. Keenan, I. Colin Prentice, Y. Zhang, W. Ju, and L. Luo, 2021. Leaf photosynthetic capacity derived from satellite observations is reliable to remove a bottleneck in global ecology. Nature Communications (submitted February 2021).
13. Xie, X., J. M. Chen, A. Lia*, X. Guan, J. Leng. 2021. Tracking the errors in gross primary productivity estimation caused by the upscaling process of surface heterogeneity from 30 to 960 m. Geophysical Research Letters (submitted May 2021).
14. Zhang, W. Ni*, K. J. Ranson, S. Quegan, J, M. Chen, P. Gong, L. C. E. Rodriguez, H. Guo, J. Shi, L. Liu, Z. Li, Y. He, Q. Liu, F. Hall, and G. Sun*. Gross carbon emissions from Latin American deforestation in the 2000s are significantly over-estimated. Nature (submitted May 2021).
15. Shang, J., T. Dong, J. Liu, J. Liu, L. He, R. Wang, B. Qian, H. McNairn, J. Powers, Y. Shi, and J. M Chen Estimating crop leaf area index from seasonal Sentinel-2 and Landsat 8 imagery in Manitoba, Canada. ISPRS Journal of Photogrammetry and Remote Sensing (submitted June 2021).
16. Zeng, Y., D. Hao, A. Huete, J. Berry, J. M. Chen, C. J. Tucker, J. Joiner, C. Frankenberg, B. Bond-Lamberty, B. Dechant, Y. Ryu, G. R. Asrar, and M. Chen. Vegetation indices for monitoring terrestrial ecosystem globally. Nature Reviews Earth and Environment (submitted May 2021)
17. He, W., M. Wu, F. Jiang*, W. Ju, M. Scholze, J. M. Chen, B. Byrne, J. Liu, H. Wang, J. Wang, S. Wang, C. Zhang, Y. Shen, Y. Zhou, and Z. Chen. A moderate terrestrial carbon sink of China over 2010-2015 inferred from multi-source satellite observations. Geophysical Research Letters (submitted July 2021).
18. Wang, H., F. Jiang*, Y. Liu, D. Yang, M. Wu, W. He, J. Wang, J. Wang, W. Ju, and J. M. Chen. Global terrestrial ecosystem carbon flux inferred from TanSat XCO2 retrievals. Journal of Remote Sensing (submitted July 2021).
19. Guan, X., J. M. Chen*, H. Shen, X. Xie, and J. Tan. Comparison of big-leaf and two-leaf light use efficiency models for GPP simulation after considering a radiation scalar. Agricultural and Forest Meteorology (submitted July 2021).
20. Zhang, Z, X. Zhang, A. Porcar-Castell, J. M. Chen, W. Ju, L. Wu, Y.Wu, and Y. Zhang*. Hemispherical sun-induced chlorophyll fluorescence is more 2 related to canopy photosynthesis than nadir from continuous ground measurements in maize. Remote Sensing of Environment (submitted July 2021).
21. Fan, L.*, J.-P. Wigneron, *, P. Ciais, J. Chave, M. Brandt, S. Sitch, C. Yue, A. Bastos, X. Li, Y. Qin, W. Yuan, X. Li, X. Liu, M. Wang, F. Frappart, X. Xiao, S. Dmitry, J. M. Chen, M. Ma, J. Wen, X. Chen, H. Yang, and R. Fensholt. Recent wildfires have turned Siberian forests into a carbon source. Nature Geoscience (submitted July 2021).
22. Wu, M., F. Jiang*, M. Scholze*, D. Chen, A. Cescatti, W. Ju, H. Wang, W. He, S. Wang, T. Kaminski, W. Zhang, Z. Lu, J. Wang, M. Voβbeck, M. Zheng, Y. Ran, W. Dorigo, Y. Zhang, and J. M. Chen. Soil moisture plays a dominant role in the inter-annual variations in the gross primary productivity (GPP) at the continental scale. Nature Communications (submitted July 2021)
23. Lu, X., H. Croft, J. M. Chen, Y. Luo, and W. Ju, Estimating photosynthetic capacity from optimized rubisco-chlorophyll relationships among vegetation types and under global change. Global Change Biology (submitted July 2021).
24. Jiang, F., W. He, W. Ju, H. Wang, M. Wu, J. Wang, S. Feng, L. Zhang, and J. M. Chen. The status of carbon neutrality of the world's top 5 CO2 emitters as seen by carbon satellites. Fundamental Research (submitted August 2021, FMRE-D-21-00212).
25. Wang, X., J. M. Chen*, W. Ju, Inter and intra-annual variations in photosynthetic capacity and its dependence on climate factors across global FLUXNET sites. Agricultural and Forest Meteorology (submitted August 2021).
Papers presented at meetings and symposia.
Most are given in the conference publication list above
Invited Lectures
a). Invited International and National Conference/Workshop
Presentations (Lead author papers only)
113. Chen, J. M. et al., Coupling and decoupling between carbon and water cycles. China Evapotranspiration Conference, Beijing, invited keynote, 30 minutes, 13 November 2020
112. Chen, J. M. et al., Interaction between biosphere and atmosphere at Wuyi Region. The first Wuyi Forum, invited keynote, 30 minutes, Fujian, China, 29 October 2020.
111. Chen, J. M. et al., Progress in vegetation remote sensing for terrestrial carbon cycle estimation. Geoinsider Webbinar of International Chinese Remote Sensing Professionals, 1.5 h, 26 June 2020.
110. Chen, J. M. et al., Global mapping of leaf photosynthetic capacity using remote sensing methods. Invited presentation at the American Geophysical Union Fall Meeting, San Francisco, USA, December 2019.
109. Chen, J. M. et al., Improving the Penman-Monteith ET model from the carbon-water coupling perspective. Invited keynote presentation at the International Association of Chinese Young Water Scientists, Zhuhai, China, 15-16 July 2019.
108. Chen, J. M. et al., Remote sensing of leaf chlorophyll content as a way to monitor environmental change, Invited keynote presentation at the 6th International Conference on Earth Observation for Environmental Changes, Chengdu, China, 24-26 June 2019.
107. Chen, J. M. et al., Improving seasonal variation of LAI retrieval for conifer forests by considering needle life span and chlorophyll content. Invited presentation at the International Geoscience and Remote Sensing Conference, Yokohama, Japan, 31 July-3 August 2019.
106. Chen, J. M. et al., Global greening and the mechanisms driving the terrestrial carbon cycle. Invited presentation at International Forum on Global Change, Biodiversity and Ecological Prediction, Yunnan University, 27 June 2019.
105. Chen et al., New development of an ET model based on the carbon-water coupling principle: does the widely used Penman-Monteith ET model have problems? Invited at the 4th Forum of Quantitative Remote Sensing, Nanjing, China, 15-16 June 2019
104. Chen, J. M., Preparing undergraduate students for graduate research in meteorology. Invited presentation at the Workshop on Meteorological Education, sponsored by the World Meteorological Organization, Nanjing, China, 8-10 May 2019.
103. Chen, J. M. et al., Coupling between water and carbon cycles and its implication on future evapotranspiration model development. Invited presentation at the International Conference on Terrestrial Ecosystems and Agricultural and Forest Meteorology, Nanjing, China, October 2018.104.
102. Chen, J. M. et al., Two pathways to retrieve the leaf maximum carboxylation rate at the global scale using optical data. Invited Keynote at the First Chinese National Vegetation Remote Sensing, Nanjing, China, October 2018.
101. Chen, J. M. et al., Diagnose then predict: the importance of remote sensing-driven diagnostic models in global carbon cycle research. Invited Keynote (1 hour) at the Third International Conference on Greenhouse Gas Measurements and Modeling, sponsored by LI-COR Corporate, Nanjing, China, October 2018
100. Chen, J. M., W. Ju, R. Liu. Vegetation structural change derived from satellites since 1981 significantly enhanced the global carbon sink. Invited Keynote in the 26th International Conference in Geoinformatics, Kuming, China, 29 June 2018.
99. Chen, J. M. L. He, S. Chou, H. Croft, T. Zheng, G. Mo, W. Ju, Y. Zhang, J. Joiner, and J. Liu, Two pathways in retrieval vegetation functional traits: leaf chlorophyll content and sun-induced fluorescence. The 4th Workshop on LiDAR Application to Forest Ecology, Institute of Plant Science, Beijing, 20 June 2018.
98. Chen, J. M. Current status of remote sensing big data and its prospects. Xiangshan Forum on Earth Big Data (the Forum is the highest form of national scientific workshop in China). Beijing, 14 June 2018.
97. Chen, J. M., W. Ju, R. Liu. Influence of vegetation structural change since 1981 on the global carbon cycle. Invited Keynote, The fifth Forum of Global Change Graduate Students, Wuxi, China, 30 May 2018.
96. Chen, J. M., W. Ju, and R. Liu. Importance of remote sensing driven diagnostic models for global carbon cycle research. The Forum on Ecological Research, Beijing University, 5 June 2018.
95. Chen, J. M. L. He, S. R. Chou, Y. Zhang, W. Ju, J. Joiner, et al., "Angular normalization of satellite and ground multi-angle measurements of sun-induced chlorophyll fluorescence for assessing vegetation productivity". American Geophysical Union Annual Fall Meeting, 11-15 December 2017, New Orleans, USA.
94. Chen, J.M., L. He, S. Chou, G. Mo., J. Joiner, H. Yu, Y. Zhang, W. Ju, Z. Wang. "Angular normalization of satellite observation of sun-induced chlorophyll fluorescence as an improved proxy of vegetation productivity". Juhan Ross Legecy Symposium. 24-25 August 2017. Tartu, Estonia.
93. Chen, J. M., "Mapping leaf chlorophyll content: a new way to improve global carbon cycle estimation". The 25th International Conference on Geoinformatics and GIS". Keynote presentation (40 minutes), Buffalo, NY, USA, 2-4 August 2017.
92. Chen, J. M., "Mind the gaps: next steps in remote sensing of terrestrial ecosystems." Workshop on How FIFE and BOREAS Changed the World, NASA Headquarter, Greenbelt, Maryland, USA, 6-7 October, 2016.
91. Chen, J. M., "Follow the photons: Importance of observed sunlit leaf fraction in interpreting remotely sensed photochemical reflectance index and chlorophyll fluorescence." Workshop on How FIFE and BOREAS Changed the World, NASA Headquarter, Greenbelt, Maryland, USA, 6-7 October, 2016.
90. Chen, J. M., R. Liu, Y. Liu, and W. Ju, "Simultaneous retrieval of vegetation structural and physiological parameters". International Geoscience and Remote Sensing Symposium, Beijing, 11-15 July 2016.
89. Chen, J. M., "Minimum number of vegetation structural parameters for scaling photosynthesis from leaf to canopy". International Conference on Quantitative Remote Sensing of Heterogeneous Land Surafaces. Beijing, 9-10 July 2016.
88. Chen, J. M., H. Croft, and T. Zheng, "A preliminary global vegetation chlorophyll map for terrestrial carbon cycle research". Fourth International Conference on Earth Observation and Remote Sensing Applications, Guangzhou, 4-9 July 2016.
87. Chen, J. M., W. Ju, and R. Liu, "Impacts of climatic and atmospheric changes on the terrestrial carbon cycle". World Meteorological Organization Workshop on Agricultural Meteorology and Climate Change, Nanjing, 4-5 May, 2016.
86. Chen, J. M., G. Mo, and F. Zhang, "Sunlit leaf GPP better correlated with chlorophyll fluorescence". American Geophysical Union Fall Meeting, San Francisco, 14-18 December 2015.
85. Chen, J. M., W. Ju, R. Liu, Y. Liu, "A New Global LAI Product 1981-2012 and Its Use for Carbon Cycle Research". American Geophysical Union Fall Meeting, San Francisco, 15-19 December 2014.
84. Chen, J. M., W. Ju, R. Liu, X. Zheng, F. Jiang, B. Chen, "Global Carbon Assimilation System and Preliminary Results". First Workshop of China Fluxnet Confederation, Beijing, China, 28-29 July 2014. Invited Keynote Presentation.
83. Chen, J. M., A. Gonsamo, C. Wu, G. Mo, A. Black, and G. Meyer, "Remote Sensing of the Impact of Mountain Pine Beetle on the Forest Carbon Cycle in British Columbia, Canada, from 1999 to 2012". 3rd International Workshop on Earth Observation and Remote Sensing Applications, Changsha, China, 11-14 June 2014. Invited plenary presentation.
82. Chen, J. M., "Coupling of Carbon and Water Cycles at the Landscape Level". Second International Forum Landscape Sustainability Science. Beijing, China. May 28-31. Invited plenary presentation.
81. Chen, J. M., W. Ju.,R. Liu, X. Zheng, Y. Li, "Global Carbon Assimilation System Based on Earth Observation: from LAI to Carbon Cycles", Fourth International Symposium of Integrated Land Ecosystem-Atmosphere Processes Study. Nanjing, China, 12-16 May 2014. Invited plenary presentation.
80. Chen, J. M., J. Whitney, and J. Pan. "Impacts of Canada-China Environmental Research". Workshop on China-Canada Research Cooperation. Beijing, China. 9-10 May 2014. Invited presentation.
79. Chen, J. M., P. Czurylowicz, Gang Mo, T. A. Black. "Impact of the Mountain Pine Beetle on Forest Carbon Cycle in British Columbia from 1999 to 2008". American Geophysical Union Fall Meeting, San Francisco, 9-13 December 2013.
78. Chen J. M., C. Wu, A. Gonsamo, W. A. Kurz, R. Hember, D. T. Price, C. Boisvenue, F. Zhang, and M. Chang. "Assessing Canada's Forest Carbon Sinks from 1901 to 2008 by Combining Inventory with Climate Data". American Geophysical Union Fall Meeting, San Francisco, 9-13 December 2013.
77. Chen, J. M., Ronggao Liu, Weimin Ju, Yong Li, and Xiaogu Zheng. "A Global Carbon Assimilation System based on Earth observation". Fourth International Conference on Earth Observation for Climate Change. Toronto, 5-7 June 2013. Keynote presentation.
76. Chen, J. M., "New Satellite Measurement Concept of Combining Hyperspectral with Multi-angle Sensors". Chinese Workshop on Satellite Measurements of Surface Parameters Sensitive to Climate Change. Beijing, January 18-19, 2013.
75. Chen, J. M., "Global Carbon Assimilation Systems and Preliminary Results". Second Canadian Workshop on Atmospheric Inversion and Carbon Assimilation. Toronto, April 9-10, 2013.
74. Chen, J. M., F. Zhang, R. Birdsey, and Y. Pan. "Relative contribution of climate change to conterminous US forest carbon sinks". American Geophysical Union Fall Meeting, San Francisco, 3-7 December 2012.
73. Chen, J. M., L. He, G. Mo, R. Liu, Y. Liu, and W. Ju. "Remote Sensing of Vegetation Structure for Regional and Global Carbon Cycle Estimation". International Symposium on Earth Observation and Remote Sensing Applications. Shanghai, China, 8-10 June 2012
72. Chen, J. M., G. Mo, F. Deng, and J. Fung. "Global atmospheric inversion for the surface carbon flux with 13 constraint". First Canadian Workshop on Atmospheric Inversion and Carbon Assimilation, University of Toronto, 12 April 2012.
71. Chen, J. M., Y. Li, W. Ju, R. Liu, F. Jiang, H. Wang, and X. Zheng, "Asia carbon cycle estimation using land remote sensing and atmospheric CO2 data". The 3rd Symposium of the Asian Heads of Research Councils on Global Change in Asia: A Perspective of Land Use Change. Beijing, China, 25-27 October 2011. Keynote plenary presentation.
70. Chen, J. M., "Global remote sensing of vegetation structural parameters and its productivity estimation". The 5th Symposium of China-Taiwan Remote Sensing Science, Harbin, China, 8-12 August 2011. Keynote presentation.
69. Chen, J. M., "Toward mutual constraint between top-down and bottom-up carbon cycle modeling", International Symposium on Forest Carbon Flux. Sitou, Taiwan. December 6-7, 2010. Plenary presentation.
68. Chen, J. M., "Carbon source and sink distribution in North America forests derived from tower flux, forest inventory, remote sensing data". Annual Symposium of Asia Flux Network. Guangdong, China, December 1-2, 2010. 40-minute plenary keynote speech.
67. Chen, J. M., "Coupling of carbon and water cycles at landscape and regional levels". Second Canadian SMAP workshop. Montreal, Canada, November 16-17, 2010.
66. Chen, J. M., "Biosphere observation from space for global carbon cycle research". The 4th Multi-disciplinary Symposium of Ontario Chinese Professors. Parry Sound, Ontario, 2 July 2010.
65. Chen, J. M., S. Shen, J. Kim, K. Ichii, and W. Ju, "Upscaling ET from tower to region: introduction to HydroEastAsia", The 2nd International Symposium on Hydrology Delivers Earth System Science to Society, Tokyo, Japan, 22-25 June 2010. Plenary.
64. Chen, J. M., "Coupling of water and carbon cycles at the landscape and regional levels", The 2nd International Symposium on Hydrology Delivers Earth System Science to Society, Tokyo, Japan, 22-25 June 2010. Plenary.
63. Chen, J. M., "North America forests: not too young and not too old for carbon uptake", Annual General Meeting of the Canadian Carbon Program Montreal, 26-28 February 2010
62. Chen, J. M. "Terrestrial carbon sinks estimated using surface remote sensing and atmospheric CO2 data". International Forum for Global Change Science, Tsinghua University, January 18-20, 2010.
61. Chen, J. M. "Outstanding issues in terrestrial carbon cycle research and the role of Earth observation". Workshop on Earth Surface-Atmosphere Interactions and Processes in Climate and Air Quality, Canadian Space Agency, Longueuil, Quebec, December 1-3, 2009. Plenary presentation (travel costs covered by CSA).
60. Chen, J. M., F. Deng, G. Mo, M. Ishizawa, D. Chan, Y. Pan, R. Birdsey, K. McCullough. "North America Carbon Budget from Bottom-up and Top-down Modelling". The Second Annual Meeting of the Canadian Carbon Program. Vancouver, B.C., February 27-March 1, 2009. Plenary presentation.
59. Chen, J. M., F. Deng, G. Mo, M. El Maayar M. Ishizawa, D. Chan, Y. Pan, R. Birdsey, K. McCullough. "Nest Inversion of the North America Carbon Budget using Forest Age and 13C as Additional Constraints". The Second All-Investigators Meeting of the North America Carbon Program, San Diego, USA, February 17-20, 2009. Plenary presentation.
58. Chen, J. M., "Upscaling the carbon flux from tower to region using remote sensing imagery". International Symposium on CO2 Flux Monitoring Technology. Taiwan, December 12-16, 2008. Plenary presentation (expenses covered by host).
57. Chen, J. M., S. Q. Wang, W. Ju, X. Feng, and J. Liu. "Carbon sinks in China forest ecosystems and their future projection". International Workshop on Human Activities and Ecosystem Services. Beijing, China, December 20-21, 2008. Plenary Presentation (expenses covered by host).
56. Chen, J. M., "Coupling between carbon and water cycles in boreal ecosystems". Annual Meeting of the AmeriFlux Network, Boulder, Colorado, October 15-17, 2008. Plenary presentation.
55. Chen, J. M., F. Deng, M. Ishizawa, D. Chan, et al., "New sources of information for inverse modeling of the North America carbon cycle". The First Annual Meeting of the Canadian Carbon Program. Calgary, Alberta, March 14-16, 2008. Plenary presentation.
54. Chen, J. M., F. Deng, M. Ishizawa, W. Ju, G. Mo, D. Chan, K. Higuchi and S. Maksyutov, "Nested Global Inversion for the Carbon Flux Distribution in Canada and USA from 1994 to 2003", Annual Fall Meeting of American Geophysical Union, December 10-14, 2007.
53. Chen, J. M., B. Chen, L. Huang, P. Tans, M. Ishizawa, and D. Chan, "Process Model for Studying Regional 13C Stable Isotope Exchange between Vegetation and Atmosphere", Annual Fall Meeting of American Geophysical Union, December 10-14, 2007.
52. Chen, J. M., "Carbon cycle and climate change economics". Joint Symposium of Chinese Canadian Association of Biomedical Professionals, Chinese Canadian Pharmacist Association, and Federation of Chinese Canadian Professionals. Toronto, October 20, 2007.
51. Chen, J. M., "Convergence of current estimates for the carbon sink in Canada's forests and remaining issues". Workshop on The Role of Canadian Boreal Ecosystems in Climate Regulation, sponsored by non-government organizations, Ottawa, October 1-2, 2007.
50. Chen, J. M., "Terrestrial Carbon Cycle and Economics of Climate Change". International Conference on Atmospheric Information Science and Technology. Nanjing, July 15, 2007. Plenary presentation.
49. Chen, J. M., "Convergence of current estimates for the carbon sink in Canada's forests and remaining challenges". Workshop on Reducing Greenhouse Gas Emissions by Conserving Forests:
Approaches to Stimulate Action, Sponsored by David Suzuki Foundation and non-government organizations, Toronto, 13-14 June 2007
48. Chen, J. M., W. Ju, and F. Deng, M. Ishizawa, K. Yuen, M. Gang, K. Higuchi, D. Chan, D. Worthy, L. Huang, 2006. "Edging closer toward the truth: Improvements of carbon budget estimation for Canada's forests and wetlands using FCRN site data". Annual General Meeting of Fluxnet Canada. Ottawa, Ontario, March 9-11, 2007. Plenary presentation. (All expenses covered).
47. Chen, J. M., "Estimating regional carbon budgets through ecosystem modeling and atmospheric inverse modeling". Workshop on Human Activities and Ecosystem Services, Institute of Geographical Sciences and Natural Resource Research, Chinese Academy of Sciences, December 21-22, 2006.
46. Chen, J. M., "The utility of a combined hyperspectral and muli-angle remote sensing system and limitations of current satellite sensors". Workshop on Strategies for China's Remote Sensing Science and Development. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, December 23-24, 2006.
45. Chen, J. M., B. Chen, W. Ju, D. Worthy, G. Mo, M. El Maayar, and A. Simic, 2006. "Upscaling carbon fluxes using remote sensing imagery and tall tower CO2 data". Western Pacific Geophysics Meeting, Beijing, China, July 25-28, 2006.
44. Chen, J. M., 2006. "Satellite imagery useful for mapping carbon source and sink distribution: methodology and a case study in Canada". The Croatia 21st Conference on Mathematics, Chemistry and Computers, Dubrovnic, Croatia, June 18-24, 2006. Plenary presentation. (Major expenses covered)
43. Chen, J. M., W. Ju, and F. Deng, M. Ishizawa, K. Yuen, G. Mo, K. Higuchi, D. Chan, D. Worthy, L. Huang, B. Chen, and M. Maksuytov. 2006. "Comparison of Canada's Terrestrial Carbon Budgets From Remote Sensing-Based Ecosystem Modeling and Nested Global Inverse Modeling". Annual Conference of the Canadian Meteorological and Oceanography Society, Toronto, May 29-June 02, 2006.
42. Chen, J. M., W. Ju, and F. Deng, M. Ishizawa, K. Yuen, M. Gang, K. Higuchi, D. Chan, D. Worthy, L. Huang, 2006. "Bottom-up and top-down estimates of Canada's Carbon budgets". Annual Meetings of Fluxnet Canada. Victoria, B.C., February 24-26, 2006. Plenary presentation. (All expenses covered).
41. Chen, J. M., 2005. "Disturbance and its consideration in upscaling from flux towers to regions". 2005 Annual Meeting of the AmeriFlux Network, Boulder, Colorado, October 18-19, 2005. Plenary presentation.
40. Chen, J. M., W. Ju, S. Wang, J. Liu, and G. Liu, 2005. "Disturbance-Induced Forest Carbon Dynamics in Canada and China: A Comparison of Natural and Anthropogenic Influences". International Symposium on Frontiers of the Global and Urban Environment, Toronto, Canada, October 17, 2005, as part of the 55th Canadian Chemical Engineering Conference. Plenary presentation.
39. Chen, J. M., 2005. "Multiple angle remote sensing for canopy structure and forest background". Workshop on Ecological Modeling using Multiangle Remote Sensing, sponsored by NASA, Washington D.C., September 20, 2005. Plenary presentation (all expenses covered).
38. Chen, J. M., and W. Ju, 2005. "Mapping Carbon Source and Sink Distributions in Canada's Forests and Wetlands Using Remote Sensing and Climate Data." Symposium of International Association of Meteorology and Atmospheric Sciences, Beijing, China, August 2-11, 2005. Session presentation.
37. Chen, J. M., 2005. "Comparison of disturbance-induced national forest carbon dynamics in Canada and China in the last 100 years". International Symposium on Ecosystem Carbon Budget and Cycle: Theories and Applications, Guangzhou, China, 1-3 July, 2005. Featured keynote presentation. (Partial expenses covered)
36. Chen, J. M., and K. Higuchi, 2005. "Carbon cycle science: combining remote sensing with atmospheric inversion." The First Canadian Workshop on Carbon Cycle and Climate Change". Toronto, May 16-17, 2005. Plenary presentation.
35. Chen, J. M., W. Ju, and M. El Maayar, 2005. "The real world is bumpy: scaling coupled water and carbon cycle models using topography at local and national scales." Fluxnet Canada Research Network annual meeting, Quebec City, February 24-26, 2005. Plenary presentation (All expenses covered).
34. Chen, J. M., L. Zhang, A. Simic, J. R. Miller, T. Noland. 2005. "Hyperspectral algorithms for forestry applications". Workshop on Resourc and Environmental Hyperspectral Monitoring Products. Natural Resources Canada, Victoria, January 24-26, 2005. Plenary presentation. (All expenses covered)
33. Chen, J. M., W. Ju, J. Cihlar and D. Price. "Carbon budget of Canada's forests considering both disturbance and non-disturbance factors". International Workshop on Regional Carbon Budgets, organized by Global Carbon Program, Beijing, China, November 15-18, 2004. Plenary presentation. (Partial expenses covered)
32. Chen, J. M., and K. Higuchi, "Methodologies for atmospheric inverse modeling for regional carbon balance". Annual workshop of Fluxnet Canada Research Network, Banff, February 27-29, 2004. Plenary presentation and discussion.
31. Chen, J. M., B. Chen, K. Higuchi, H. Lin, D. Chan, A. Shashnov, "Usefulness of high-frequency, high-precision CO2 measurements at a continental site". World Meteorological Organization Expert Meeting on Greenhouse and Trace Gas Measurements. Toronto, September 15-18, 2003. Plenary presentation.
30. Chen, J. M., "Scaling from tower to landscape and from landscape to region". One-hour plenary presentation at the International Workshop of Fluxnet 2003, Lake Tahoe, California, USA, August 12-15, 2003 (All expenses covered).
29. Chen, J. M., "Possible utilities of optical remote sensing for numerical weather forecast." International Workshop on Linking Remote Sensing to Land Surface Parameterization. Satellite Research Centre, Chinese Central Meteorological Bureau, Beijing, July 2002. (partial funds provided)
28. Chen, J. M., "Spatially explicit forest carbon cycle modeling using remote sensing and GIS database". GeoInformatics'2002, Nanjing, China. June, 2002. One-hour plenary keynote presentation (Partial funds provided)
27. Chen, J. M., Y. Li, and L. Zhang, "Preliminary evaluation of hyperspectral data compression algorithm for forestry applications". User and Science Team Meeting, April 15-16, 2002 Canadian Space Agency St. Hubert, Quebec (All expenses provided by CSA)
26. Chen, J. M., "Developing a national strategy for upscaling forest carbon balance using remote sensing, inventory and tower flux data". Workshop on Carbon Cycle and Climate Change, Climate Change Action Fund Project Evaluation, Environment Canada, Ottawa, March 17-18, 2002. (All expenses covered by EC).
25. Chen, J. M., J. Cihlar, B. Amiro, W. Ju, D. Price, J. Liu, and J. Pan, "Patterns of carbon source and sink distribution in Canada's forest resulting from disturbance and climate change". Annual Fall American Geophysics Union, San Francisco, December, 2001.
24. Chen, J. M., "Goemetric optical modeling and its implication on thermal directionality", International Workshop on Thermal Remote Sensing Science, Huangshang, China, July 17-20, 2001. (Partial funds provided by Beijing Normal University).
23. Chen, J. M., "LAI instruments and measurement protocols", plenary presentation, NASA-EOS Land Product Validation Workshop, Frascati, Italy, 8-9 June, 2001. (Partial funds provided)
22. Chen, J. M., "Large-area carbon cycle modeling", plenary presentation, BIOCAP Canada Fluxnet Workshop, Ottawa, Ontario, January 30-31, 2001. (All expenses covered by NSERC)
21. Chen, J. M. , J. Liu, S. G. Leblanc, J.-L. Roujean, and R. Lacaze "Utility of Multi-angle Remote Sensing for Terrestrial Carbon Cycle Modeling." Plenary presentation, the Symposium on Physical Signatures and Measurements in Remote Sensing, Aussois, France, 8-13 January, 2001.
20. Chen, J. M., "Models available for pixel-based carbon cycle modeling", Opening ceremony of International Institute of Earth System Science, Nanjing University, China, 2000. (All expenses covered by Nanjing University).
19. Chen, J, M., and J. Cihlar, "Pixel-based net ecosystem productivity of Canada's forests using historical climate and disturbance data". NASA EOS Interdisciplinary Working Group Meeting on Land Processes and Terrestrial Carbon Cycle Science, Plenary presentation. Tucson, Arizona, USA, April 11-14, 2000.
18. Chen, J. M., and J. Cihlar, "Canadian Terrestrial Carbon Research and Observation Requirements: A "Bottom-up" Perspective". International Workshop on Terrestrial Carbon Observation Systems, Ottawa, Canada, February, 8-11, 2000.
17. Chen, J. M. "Observation needs for ecosystem modelling and upscaling". Workshop on Canadian Terrestrial Carbon Observation System, Ottawa, Canada, March 7-9, 2000.
16. Chen, J. M. "Net primary productivity mapping and forest carbon sink estimation based on remote sensing" International Workshop on Harnessing Remote Sensing for Full Carbon Accounting. Vienna, December 8-12, 1999.
15. Chen, J. M. "Remote sensing methods for retrieving biophysical parameters and carbon cycle modelling". Six-hour keynote speech in International Forum on Remote Sensing Science. Nanjing, China, June 7-12, 1999. (All expenses from Ottawa covered).
14. Chen, J. M. "Response of Canada's forest carbon cycle to climate change: global implications". Canada Forest Advisers Network Technical Workshop on Climate Change and Forests. February 5, 1999, Hull, Canada.
13. Chen, J. M. "Climate change and ecosystem impacts". Canadian Forest Service Workshop on Earth Observation for Sustainable Development. March 10, 1999, Victoria, Canada.
12. Chen, J. M. "Estimation of forest carbon sinks and directions for improvements". Canada Natural
11. Chen, J. M. "Carbon cycle model comparison II". Plenary of BOREAS Follow-on Workshop, February 8, 1999, Tallahassee, USA.
10. Chen, J. M. and X. Li, "Recent advances in geometrical optics modelling and applications". International Forum for Directional Remote Sensing, December 11-12, 1998, San Francisco, USA.
9. Chen, J. M. and M. Barnsley, "Deriving biophysical parameters through model inversion" International Forum for Directional Remote Sensing, December 11-12, 1998, San Francisco, USA.
8. Chen, J. M. "VEGETATION/SPOT for northern applications: recent findings". VEGETATION Day: an international display of the utilities, sponsored by the European Commission. August 24, 1998, Brussels, Belgium.
7. Chen, J. M., S. G. Leblanc, J. Cihlar, J. Miller, C. Walthall, E. Middleton, "Understanding optical remote sensing measurements from boreal forests", BOREAS special session, AGU fall meeting, December 8-13, 1997. San Francisco.
6. Chen, J. M. "Deriving Biophysical Parameters from CASI images", Workshop of Canadian Remote Sensing Expert Systems, York University, April 1997.
5. Chen, J. M., J. Cihlar, "Northern Biosphere Observation and Modeling Experiment: Recent Results". Plenary of EOS Investigators Working Group workshop, November 4-6, 1997. Atlanta.
4. Chen, J. M. and J. Cihlar, "Simple and complex directional reflectance model for image processing". International Workshop on Multiangular Remote Sensing Progress and Advancing BRDF Usefulness in the EOS Era and Beyond. NASA, January 29-31, 1997. (Full funds provided by NASA).
3. Chen, J. M. "Scaling from leaf to tower". Plenary of BOREAS workshop, March 1997, Washington, D.C.
2. Chen, J. M., Z. Li, and J. Cihlar, "Remote sensing for sustainable forest management".
Eco-Informa 1996, November 3-9, Orlando, Florida.
1. Chen, J. M. and T. A. Black, "Challenges in indirectly measuring leaf area index of plant canopies". The 3rd International Conference on Advances in Communication and Control Systems sponsored by the Natural Science Foundation, USA. In session: Environmental Systems: Prediction and Control. October 1991, Victoria, Canada. (Full funds provided.)
b). Invited Presentations (partial, lead author only):
101. Vegetation structural change significantly enhanced land sinks since 1981. Department of Soil Science, University of British Columbia, Canada, 21-August, 2019.
100. Is the Tibetan Plateau getting wetter and greener under climate change? Science Forum on Plateau on Eco-environment, Sponsored by Qinghai Provincial Government, Xining, 17 July 2019.
99. Algorithms for LAI and clumping index retrieval and their applications. University of Chinese Academy of Sciences, 18 July 2019.
98. Global LAI products and their application to terrestrial carbon cycle research. School of Atmospheric Science of Sun Yetsun University, 16 June 2019.
97. Carbon and water cycles in forests and its interaction with the atmosphere. Meteorological Bureau of Fujian Province, Wuyi, 1 July 2019.
96. Historical evolution of quantitative vegetation remote sensing: from FPAR, LAI, CI, LCC to Vcmax. Chengdu University of Electronic Science and Technology, 26 June 2019.
95. Two western scholars who greatly influenced my academic career. Nanjing University, 21 June 2019.
94. Two western scholars who greatly influenced my academic career. Beijing University of Science and Technology, 3 June 2019.
93. Methods for estimating the vegetation carboxylation rate using remote sensing data. University of Illinois at Urbana-Champaign, USA, 18 March 2019.
92. Remote sensing of vegetation structural and physiological traits. Chengdu Mountain Research Institutes, Chengdu, China, 1 July 2018.
91. Three ways to retrieve information on vegetation productivity using remote sensing data. Nanjing University of Information Science and Technology, Nanjing, China, 11 June 2018.
90. Global leaf area index products and their use in global change studies. Institute of Atmospheric Physics of Chinese Academy of Sciences, Beijing, 13 June 2018.
89. Chlorophyll fluorescence is an important pathway for obtaining vegetation functional information from remote sensing data. Wuhan University, 4 June 2018.
88. Global terrestrial carbon cycle estimation based on vegetation remote sensing. Wuhan University, 1 June 2018.
87. Impact of climate and atmospheric changes on the terrestrial carbon cycle since 1981. Institute of Earth Environment of Chinese Academy of Sciences, Xian, China, 6 May 2018.
86. Remote sensing of vegetation structural and biochemical traits for global carbon cycle estimation. Fuzhou University, Fuzhou, China, 13 March 2018.
85. Remote sensing of vegetation structural and biochemical traits for global carbon cycle estimation. Hohai University, Nanjing, China, 18 January 2018.
84. Recent progress in terrestrial carbon cycle estimation using remote sensing parameters and models. Jiaxi Distinguished Speakers� Forum, Fuzhou University, 13 March 2018
83. Remote sensing of plant structural and structural traits for global carbon and water cycle estimation. School of Hydrology and Water Resources, Nanjing University of Rivers and Oceans, 18 January 2018.
82. Vegetation remote sensing: from visual observation to global algorithms. Nanjing University of Rivers and Oceans, in a distinguished scholar seminar series organized by its undergraduate student council. 26 April 2017.
81. Retrieval of vegetation structural and biochemical parameters using remote sensing data. In a graduate student training workshop on Multi-sensor Remote Sensing Applications to Agroecosystems, Nanjing Agricultural University, April 18, 2017. About 120 trainees from various universities in China.
80. Mapping leaf chlorophyll content using remote sensing techniques and its use in global carbon cycle research. State University of New York at Buffalo, 28 October 2016.
79. Methods for mapping leaf chlorophyll content and its use in global carbon cycle research. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing. 15 July 2016.
78. Multi-angle remote sensing for assessing vegetation structure and carbon cycle. Mediterranean Agronomic Institute of Chania, Greece. 5 June 2016.
77. Impact of climatic and atmospheric changes on the terrestrial carbon cycle. Institute of Geographical Sciences and Natural Resources Research, Chinese Academic of Science, Beijing. 11 May 2016.
76. Application of Multi-angle remote sensing to forest carbon cycle research. Nanjing University of Forestry. 19 April 2016.
75. Data assimilation as an information mining technique to obtain the spatiotemporal distributions of key biospheric parameters. Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences
74. From big data to big discovery: a new challenge in earth system science., Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing. 16 June 2015.
73. Multi-angle remote sensing for terrestrial carbon cycle research. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing. 30 December 2014.
72. Techniques for using multi-angle remote sensing for vegetation productivity assessment. Wuhan University. 6 December 2014.
71. North America forest carbon cycle and its attribution and uncertainty analysis. China Northeast Forestry University. 13 September 2014.
70. Application of satellite remote sensing in a global carbon assimilation system. Nanjing University. 20 August 2014.
69. Leaf area index ground measurement and remote sensing techniques. Nanjing University of Information Science and Technology. 20 May 2014.
68. Introduction to a new global carbon assimilation system. Earth Science Center, Tsinghua University, Beijing. 12 December 2013.
67. Comparison of carbon flux estimation using different land surface models. Beijing Normal University, 30 July 2013.
66. Terrestrial carbon cycle modeling as part of a global carbon assimilation system. Commonwealth Scientific and Industrial Research Organization, Melbourne, Australia. 13 July 2013.
65. Multi-angle remote sensing for global carbon cycle research. Hong Kong Polytechnics University. November 25, 2011.
64. Global carbon cycle estimation using both land remote sensing and atmospheric CO2 data. Distinguished Seminar Series (open to all faculties), Chinese University of Hong Kong, November 24, 2011.
63. Vegetation structural parameters derived from multi-angle remote sensing and their use in global terrestrial carbon cycle research. Department of Geography and Resource Management, Chinese University of Hong Kong, November 22, 2011.
62. Forest growth remote sensing and modeling methods. Zhejiang University of Agriculture and Forestry, November 15, 2011.
61. Carbon sink and source distributions in North America and China. Institute of Qinghai and Tibet Research, Chinese Academy of Sciences, Beijing. October 24, 2011.
60. Carbon source and sink distribution in North American forests. Canadian Forest Service, Victoria, 12 September 2011.
59. Earth sciences at the University of Toronto. Part of seminars showcasing U of T space science and technology to the president Dr. Steve MacLean of the Canadian Space Agency, U of T, 1 March 2011.
58. Terrestrial Carbon Sink and Source Distribution Estimated from Surface Remote Sensing and Atmospheric CO2 Data. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Jilin, China, 21 October 2010.
57. North America forest carbon cycle research based on forest inventories. Nanjing Forestry University, China, 16 June 2010.
56. North America sink estimation using surface remote sensing and atmospheric CO2 data. College of Global Change and Earth System Science, Beijing Normal University, 23 January 2010.
55. Terrestrial carbon cycle estimation through combination of ecosystem modeling and atmospheric inversion. Department of Geography , York University. 12 January 2010.
54. Simultaneous retrievals of vegetation structural and biochemical parameters using multi-angle and hyperspectral optical data. Tartu Observatory, Estonia, 20 December 2009.
53. Spatially explicit forest carbon sink and source estimation using remote sensing inputs. University of Helsinki, Finland, 17 December, 2009.
52. Remote sensing-based methods for forest carbon cycle estimation. Chinese Academy of Forest Sciences, Beijing, China, December 19, 2009.
51. A tour in China's forests and an assessment of their role in the global carbon cycle. University of Toronto China Conference, Toronto, 21 March, 2009
50. Coupling between carbon and water cycles in boreal ecosystems. Department of Geography, University at Buffalo, The State University of New York, November 21, 2008.
49. Remote sensing of vegetation structure and its use for global carbon cycle modeling. University of Toronto, Center of Global Change Science Distinguished Seminar Series, September 16, 2008.
48. Remote sensing of vegetation structure and its use for global carbon cycle modeling and inversion. Max Planck Institute of Biogeochemistry, Jena, Germany, August 19, 2008.
47. North America carbon budget inversion and the use of 13C as the additional constraint. School of Applied Meteorology, Nanjing University of Information Science and Technology, June 27, 2008.
46. Coupling of carbon and water cycles in boreal forests and wetlands. Department of Geography, University of North Carolina, April 9, 2008.
45. Boreal landscape and the carbon-water coupling. Department of Geography, McMaster University, March 26, 2008.
44. Have we done enough land remote sensing for climate research? Ontario Association of Remote Sensing. February 20, 2008.
43. Are Canada's forests a carbon sink or source? Department of Geography, University of Western Ontario. January 9, 2008.
42. Are Canada's forests a carbon sink or source?: the role of remote sensing in addressing climate change issues. Department of Geography, Guelph University. November 2, 2007.
41. Upscaling methods for regional carbon cycle estimation. Fudan University, Shanghai, China, May 28, 2007.
40. Regional Carbon Budget Estimation Using Remote Sensing Inputs. Fujian Normal University, Fuzhou, Fujian Province, China, July 18, 2007.
39. Comparison of Canada's Terrestrial Carbon Sinks from Atmospheric Inverse Modeling and Ecosystem Modeling. Hubei Meteorological Bureau, Wuhan, Hubei Province, China, July 27, 2007.
38. Climate Change and Challenges to China's Economic Development. 2nd Annual U of T China Conference: Stepping up to Global Challenges. March 24, 2007.
37. NSERC Strategic Grants Program: Suggestions for Proposal Preparation (from a past selection panelist). Research and Services, University of Toronto, February 21, 2007.
36. A new algorithm for global mapping of leaf area index and its applications. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, December 25, 2006.
35. Comparison of upscaling methods for estimating regional carbon flux. National Bureau of Meteorology, Beijing, China, August 2006.
34. Hyperspectral and multiple angle remote sensing applications to forestry. Nanjing University of Information Science and Technology. May 2006.
33. Regional carbon cycle modeling. Department of Geography, University of Toronto at Erindale. February 2005.
32. Carbon source and sink distribution in Canada's forests and wetland. Shangxi Bureau of Meteorology, Xian, China, July 2004.
31. Spatiotemporal carbon cycle dynamics simulated using remote sensing and climate data. National Bureau of Meteorology, Beijing, China, August 2004.
30. Applications of optical remote sensing to terrestrial water and carbon cycle modeling. Guangxi Bureau of Meteorology, Nanjing, China, August 2004.
29. Remote sensing of forest structure and fire scar age for carbon cycle modeling. Institute of Botany, Chinese Academy of Sciences, Beijing, China, August 2004.
28. Carbon sequestration in reforested areas in China. Institute of Environmental Studies, University of Toronto, April, 2004.
27. Carbon cycle information at the landscape level inferred from atmospheric CO2 measurements. Atmospheric Research Seminar Series, Environment Canada, Downsview, Ontario, March 2004
26. Deriving regional carbon fluxes from air CO2 mixing ratio at the Fraserdale site. Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado, October 2003.
25. Mapping carbon sources and sinks in Canada's forests: usefulness and limitations of remote sensing. Colorado State University and US Department of Agriculture joint seminar, Fort Collins, October 2003.
24. Retrieving information on the ecosystem response to climate change from an 11-year CO2 record at a boreal site. Climate Monitoring and Diagnosis Laboratory, NOAA, Boulder, Colorado, September 2003.
23. A carbon-specific vertical diffusion scheme to study the atmospheric rectifier effect and landscape-level carbon cycle. Meteorological Service of Canada, Air Quality Branch, Downsview, February, 2003
22. A multilayer canopy stable isotope model for interpreting the Fraserdale intensive campaign data. Meteorological Service of Canada, Air Quality Branch, Downsview, October, 2002.
21. Spatially explicit carbon cycle modeling using remote sensing and GIS". University of California at Berkeley, Environmental Science, Policy and Management Colloquium Series, April 29, 2002. (All expenses provided by UCB)
20. Methods for retrieving biophysical parameters from remote sensing imagery. Jiangshu Academy of Agricultural Sciences. Nanjing, July, 2002.
19. Regional carbon cycle modeling with remote sensing inputs. Beijing Institute of Atmospheric Science, Chinese Academy of Sciences, Beijing, May 2002.
18. Carbon balance of Canada's forests: recent progress and unresolved science issues. Institute of Environmental Studies, University of Toronto, December 2001.
17. Multiple-angle remote sensing of canopy architecture and its importance in terrestrial carbon cycle modelling. CAMFER Seminar Series, University of California at Berkeley, November 4, 1999. (All expenses covered).
16. Satellite-based estimation of forest carbon cycle. October 1999. Earth Science Sector Management Team, Natural Resources Canada, Ottawa.
15. The usefulness of remote sensing for estimating carbon sink. June 1999. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China. (All expenses covered).
14. New geometrical optical model based on canopy architecture: 4-Scale. June 1999. Institute of Geography, Chinese Academy of Sciences, Beijing, China
13. Coupled hydrological and carbon cycles based on remote sensing. June 1999. Department of Geography, Beijing Normal University, China
12. Introduction to vegetation monitoring methods in Canada and recent findings. September 1998. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China.
11. Methods for modeling net primary productivity and carbon cycle using remote sensing data. September 1998. Commission for Natural Resources Survey, Chinese Academy of Sciences, Beijing, China.
10. Problems with big-leaf models and their alternatives for remote sensing applications. October 1998. Centre d'Etudes Spatiales de la BIOsphere (CESBIO), Toulouse, France (expenses partially covered).
9. Are Canada's forests currently a carbon sink: preliminary estimation from satellites. May 1998. Assistant Deputy Minister's Office, Ottawa.
8. Fallacies of big-leaf photosynthesis models and their implications, May 1998. Canadian Forest Survice, Edmonton, Canada.
7. Estimating terrestrial carbon sink based on remote sensing. 1998. Jet Propulsion Laboratory. L.A. (All expenses from Ottawa covered).
6. Optical and microwave remote sensing: new ways to look at our changing world. 1996. Whitehorse and Faro, Yukon, Canada. In a public seminar series given by accomplished scientists invited by Yukon Science Institute. (All expenses covered).
5. Introduction to the new LAI instrument TRAC (Tracing Radiation and Architecture of Canopies). 1994. Remote Sensing Research Centre (CARTEL), University of Sherbrooke, Sherbooke, Canada.
4. Remote Sensing of Leaf Area Index of Plant Canopies: Gap Size vs. Gap Fraction Methods. 1993. Institute of Space and Terrestrial Science, North York, Canada.
3. Wind-Tunnel and Numeric and Field Studies of Microclimate in Forest Openings. 1993. Department of Geography, McGill University, Montreal, Canada.
2. A GIS study of the spatial distribution of evapotranspiration in a watershed. 1992. Department of Geography, University of Toronto, Toronto, Ontario, Canada.
1. GIS applications in surface Climatology. 1992. Department of Geography, Simon Fraser University, Burnaby, B.C., Canada.
c). Training Courses (National/International)
33. Chen, J. M., “Progress in vegetation remote sensing”. Graduate Summer Training Course on Quantitative Remote Sensing, Beijing University, 26 July 2020.
32. Chen, J. M., “Vegetation remote sensing for terrestrial carbon cycle research”. Second Summer Training Course on Quantitative Remote Sensing, Wuhan University. 9 July 2020
31. Chen, J. M., "Historical evolution in remote sensing of plant productivity: from FPAR, LAI, CI, LCC to Vcmax". The 9th Summer School on Quantitative Remote Sensing, Beijing Normal University, 18 July 2019.
30. Chen, J. M., "Leaf area index remote sensing and ground observation methods", and "Leaf chlorophyll content remote sensing methods and ecological applications", Summer School on Pollution Control and Its Ecological Effects, Nanjing, China 19 July 2019.
29. Chen, J. M., "Using sun-induced chlorophyll fluorescence measurements at the canopy level to optimize leaf maximum carboxylation rate". The 5th summer training workshop on LiDAR applications. Institute of Botany, Chinese Academy of Sciences, Beijing, 2 June 2019.
28. Chen, J. M., "Diagnostic analysis of land sink drivers based on satellite data since 1981", and "Remote Sensing of critical parameters in the terrestrial carbon cycle". The 8th summer training workshop on Theories and Methods in Land Surface Remote Sensing, Institute of Remote Sensing and Digital Earth, Beijing, 15-19 July 2018.
27. Chen, J. M., "Remote sensing of vegetation structural and functional traits and its application". The 15th summer training workshop on Quantitative Remote Sensing, Beijing University, 9 July 2018.
26. Chen, J. M., "Two pathways of retrieving vegetation functional parameters". The 4th summer training workshop on LiDAR applications. Institute of Botany, Chinese Academy of Sciences, 20 June 2018.
25. Chen, J. M., "Vegetation remote sensing: from canopy structural to leaf biochemical parameters". 3 h lectures, Quantitative Remote Sensing summer school for graduate students, Beijing University, 500+ students from all China. 3-9 July 2017.
24. Chen, J. M., "Remote sensing of crop chlorophyll content". Summer School on Multi-sensor Remote Sensing and its Application to Monitoring Crop Growth. 18-20 April 2017, Nanjing Agricultural University. 2-hour lecture.
23. Chen, J. M., "Scaling photosynthesis from leaf to canopy", "Principles for calculating observed sunlit and shaded leaf fractions", "Scaling sun-induced chlorophyll fluorescence from leaf to canopy", and "Scaling the photochemical reflectance index from leaf to canopy". Summer School on Remote Sensing and Carbon Cycle, Nanjing University, 6-7 July 2016. 4-hour lectures for about 120 trainees.
22. Chen, J. M., "Terrestrial carbon cycle estimation based on remote sensing of vegetation structure and function" and "Geometrical optical modeling". Summer School on Remote Sensing, Mediterranean Agronomic Institute of Chinia, Greece, 7 April 2016. 4-hour lectures for about 20 trainees.
21. Chen, J. M., "Multitemporal remote sensing of leaf area index for modeling ecosystem productivity". 2-h lecture at the International Geoscience and Remote Sensing annual conference at Quebec City, Canada, 13, July 2014.
20. Chen, J. M., "Optimization of ecosystem model photosynthesis and soil water uptake parameters using tower flux data". 2-h lecture in the Third Training Course of Land Surface Data Assimilation. Jilin, China, 17-18 August 2013.
19. Chen, J. M., "Avoiding common grammatical mistakes in scientific English writing", 6-hour lecture for graduate students (about 25 trainees), Nanjing University, China, October 2011
18. Chen, J. M., "Leaf area index measurement theory and techniques and remote sensing algorithms", 4-hour lectures for graduate students (about 30 trainees), Nanjing University, Nanjing, China, 18 August 2011
17 Chen, J. M., "Nested atmospheric inversion to estimate the carbon flux to and from the Earth's surface". The Third Summer Training School on Global Change and Carbon Cycle, 1-hour lecture, Beijing, China, 1-3 August 2011.
16. Chen, J. M., "Geometric optical modeling methods and its applications to hyperspectral and multi-angle remote sensing", 4-hour lectures for graduate students (about 35 trainees), Nanjing University, Nanjing, China, 17 December 2010.
15. Chen, J. M., "Terrestrial ecosystem carbon cycle and its observation and modeling methods". 3-hour lectures for graduate students (over 40 trainees), Tsinghua University, Beijing, China, 8 October 2010.
14. Chen, J. M., "LAI measurement theory and techniques", "Upscaling from leaf to canopy", and "Upscaling from canopy to region". 6-hour lectures for graduate students and young faculty (over 50 trainees), China Northeast Forestry University. Harbin, China, 18-19 October 2010
13. Chen, J. M., "Estimation of regional carbon budget using surface remote sensing imagery and atmospheric CO2 data". 2-hour lectures as part of an Advanced Lectures in Global Change Science, Graduate School of Chinese Academy of Sciences. July 3, 2008. (over 40 trainees).
12. Chen, J. M., "Multiangle and Hyperspectral Remote Sensing Applications", 6-hour (2 days) lectures in "Selected Advanced Topics in Remote Sensing Science" organized by Beijing University, July 1-2, 2008. Beijing, China. (over 150 trainees).
11. Chen, J. M., "Airborne and Space-borne Image Spectrometry for Terrestrial Ecosystem Applications", 12 hour lectures with Prof. John Miller from York University, as part of a distinguished seminar series in Global Change and Environmental Remote Sensing at Nanjing University, June 12-14, 2008, Nanjing, China. (over 40 trainees).
10. Chen, J. M., "Vegetation Structure Measurement Techniques and Remote Sensing Methods and Their Use in Water and Carbon Cycle Modeling", 12 hour lectures (3 half days), in "Summer Training Course in Current Topics in Applied Meteorology", Nanjing University of Information Science and Technology, July 9-11, 2007, Nanjing, China. (over 50 trainees)
9. Chen, J. M., "Optical Remote Sensing Application to Terrestrial Ecosystems", 12-hour (2 days) lectures in "Selected Advanced Topics in Remote Sensing Science" organized by Beijing University, July 5-6, 2007. Beijing, China. (over 120 trainees)
8. Chen, J. M., "Optical and Thermal Remote Sensing: Theories and Techniques", 12 hour lectures with Prof. John Norman from University of Wisconsin, Nanjing University, May 23-25, 2007, Nanjing, China. (over 50 trainees).
7. Chen, J. M., "Multiple Spectral, Hyperspectral and Multi-angle Remote Sensing: Theories and Applications", 15-hour (2.5 days) lectures in "Selected Advanced Topics in Remote Sensing Science" organized by Beijing University, July 31-August 2, 2006. Beijing, China. (over 100 trainees from various universities in China)
6. Chen, J. M., "Plant canopy structure: ground measurements and optical remote sensing", 16-hour (4 days) lectures to graduate students at Nanjing University, June 21-24, 2006 (about 60 attended).
5. Chen, J. M. "LAI measurement theories and techniques" (2 hours), "Modeling and scaling approaches" (2 hours), and "Field and laboratory demonstration and exercises" (4 hours). Carbon Cycle Training Course, Fluxnet Canada Research Network, May 8-19, 2005. Waskesiu, Saskatchewan. (Over 30 trainees, from Canadian universities)
4. Chen, J. M., "Remote sensing applications to terrestrial ecosystems", 12-hour (two-day) lectures in "Selected Advanced Topics in Remote Sensing Science" organized by Beijing University, July 10-11, 2004. Beijing, China. (about 90 trainees from most provinces of China)
3. Chen, J. M. "LAI measurement theories and techniques" (2 hours), "Ecosystem modeling and scaling" (2 hours), and "Optical instruments for canopy structural measurements-field training and data processing" (6 hours). Carbon Cycle Training Course, Fluxnet Canada Research Network, May 25-28, 2003. Waskesiu, Saskatchewan. (Over 30 trainees from Canadian universities)
2. Chen, J. M. "LAI measurements" (6 hours), "LAI remote sensing and land cover mapping" (6 hours), "Canopy radiation modeling" (6 hours), and "NPP and NBP modeling" (6 hours). Remote sensing and carbon modeling training workshop, Beijing Institute of Geographical Sciences and Natural Resources Research, July 29- Aug 1, 2002. (Over 50 trainees from 10 institutions in China).
1. Chen, J. M. "Remote sensing for EMAN: a new optical instrument for measuring leaf area index and its application to remote sensing of terrestrial ecosystems". Three hour workshop in the National Science Meeting for Ecological Monitoring and Assessment Network (EMAN), January 21-24, 1998, Charlevoix, Quebec, Canada.
|
