REFEREED PUBLICATIONS


Book 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.

 

© Revised: Sept., 2020