| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6347506 | Remote Sensing of Environment | 2012 | 11 Pages |
Abstract
⺠Model based on chlorophyll content and potential PAR was used for GPP estimation. ⺠Product of Landsat vegetation indices and potential PAR estimated GPP accurately. ⺠The indices using green and NIR bands were the most accurate in GPP estimation. ⺠GPP algorithms, calibrated in NE, were validated in IL, IA, and MN.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
Anatoly A. Gitelson, Yi Peng, Jeffery G. Masek, Donald C. Rundquist, Shashi Verma, Andrew Suyker, John M. Baker, Jerry L. Hatfield, Tilden Meyers,