Fingerprint Fingerprint is based on mining the text of the persons scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Landsat Earth & Environmental Sciences
imagery Earth & Environmental Sciences
remote sensing Earth & Environmental Sciences
Ecosystems Engineering & Materials Science
Landsat thematic mapper Earth & Environmental Sciences
land cover Earth & Environmental Sciences
Remote sensing Engineering & Materials Science
vegetation Earth & Environmental Sciences

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Projects 2004 2017

forested catchment
land cover
land use change
land use
leaf area index
carbon budget
terrestrial ecosystem
land use change
land cover
ecosystem structure

Research Output 2000 2017

  • 3051 Citations
  • 23 h-Index
  • 47 Article
  • 2 Conference contribution
  • 1 Review article
1 Citations

A photosynthesis-based two-leaf canopy stomatal conductance model for meteorology and air quality modeling with WRF/CMAQ PX LSM

Ran, L., Pleim, J., Song, C., Band, L., Walker, J. T. & Binkowski, F. S. Feb 16 2017 In : Journal of Geophysical Research. 122, 3, p. 1930-1952 23 p.

Research output: Contribution to journalArticle

air quality
5 Citations

Natural disasters and economic development drive forest dynamics and transition in China

Zhang, K., Song, C., Zhang, Y. & Zhang, Q. Mar 1 2017 In : Forest Policy and Economics. 76, p. 56-64 9 p.

Research output: Contribution to journalArticle

forest dynamics
natural disaster
economic development
8 Citations

Reanalysis of global terrestrial vegetation trends from MODIS products: Browning or greening?

Zhang, Y., Song, C., Band, L. E., Sun, G. & Li, J. Mar 15 2017 In : Remote Sensing of Environment. 191, p. 145-155 11 p.

Research output: Contribution to journalArticle

moderate resolution imaging spectroradiometer
vegetation index
Imaging techniques
5 Citations

Consistent classification of landsat time series with an improved automatic adaptive signature generalization algorithm

Dannenberg, M. P., Hakkenberg, C. R. & Song, C. 2016 In : Remote Sensing. 8, 8, 691

Research output: Contribution to journalArticle

time series
land cover
9 Citations

Development of a coupled carbon and water model for estimating global gross primary productivity and evapotranspiration based on eddy flux and remote sensing data

Zhang, Y., Song, C., Sun, G., Band, L. E., McNulty, S., Noormets, A., Zhang, Q. & Zhang, Z. Jun 15 2016 In : Agricultural and Forest Meteorology. 223, p. 116-131 16 p.

Research output: Contribution to journalArticle

eddy covariance
remote sensing
primary productivity