Land Cover Mapping
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.
Full
pdf file
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.
Full pdf file
Liu, J. X., J. M. Chen, D. T. Price, and S. Liu, NCWin
- A component object model (COM) for processing and visualizing
NETCDF DATA. Cartographic Journal (in press)
Peddle, D. R., R. L. Johnson, J. Cihlar, S. G. Leblanc,
and J. M. Chen. MFM-5-Scale: a physically-based inversion
modeling approach for unsupervised cluster labeling and independent
forest landcover classification. Canadian Journal of Remote
Sensing (in press)
Latifovic, R. J. Fytas, J. M. Chen, and J. Paraszczak,
Assessing landcover change resulting from large surface mining.
International Journal of Applied Earth Observation and Geoinformation.
(in press).
Cihlar, J. R. Latifovic, J. Beaubien, A. Trishchenko, J.
M. Chen, G. Fedosejevs. National scale forest information
extraction from coarse and medium resolution satellite data.
Part 1: data preprocessing and mapping land cover types.Chapter
in In "Methods and Applications for Remote Sensing of
Forests: Concepts and Case Studies" ed. By M. Wulder
and S. Franklin (in press)
Cihlar, J. R. Fernandes, R. Fraser, J. M. Chen, W. Chen,
R. Latifovic, J. Liu, Z. Li, National- scale forest information
extraction from coarse resolution satellite data. Part 2:
Forest biophysical parameters and processes. Chapter in In
"Methods and Applications for Remote Sensing of Forests:
Concepts and Case Studies" ed. By M. Wulder and S. Franklin
(in press)
Cihlar, J., R. Latifovic, J. M. Chen, A. Trishchenko, Y.
Du, G. Fedosejevs, and B. Guidon, Systematic corrections of
AVHRR image composites for temporal studies. Remote Sensing
of Environment 89:217-233.
Amiro, B. D., and J. M. Chen, 2003. Forest-fire-scar dating
using SPOT-VEGETATION for Canadian ecoregions. Canadian Journal
for Forest Research 33:1-10
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.
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 download
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 download
Cihlar, J., R. Latifovic, J. Chen,. and Z. Li. 1999. Near-real
time detection of contaminated pixels in AVHRR composites.
Canadian Journal for Remote Sensing, 25: 160-170.
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 download
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 download
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.
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.
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