|
|||||
|
|
Retrieving crop leaf area index by assimilation of MODIS data into a crop growth model |
|
| Authors: | WANG DongWei WANG JinDi & LIANG ShunLin State Key Laboratory of Remote Sensing Science Jointly Sponsored by Beijing Normal University |
| Affiliation: | WANG DongWei1,2,3,WANG JinDi1,2 & LIANG ShunLin4 1 State Key Laboratory of Remote Sensing Science,Jointly Sponsored by Beijing Normal University , Institute of Remote Sensing Applications,CAS,Beijing 100875,China,2 School of Geography,Beijing Key Laboratory of Environmental Remote Sensing , Digital City,Beijing Normal University,3 Haihe River Water Conservancy Commission,Tianjin 300170,4 Department of Geography,University of Maryl,,College Park,MD 20742,USA |
| Abstract: | Leaf area index (LAI) is an important parameter in monitoring crop growth. One of the methods for retrieving LAI from remotely sensed observations is through inversion of canopy reflectance models. Many model inversion methods fail to account for variable LAI values at different crop growth stages. In this research, we use the crop growth model to describe the LAI changes with crop growth, and consider a priori LAI values at different crop growth stages as constraint information. The key approach of this re... |
| Keywords: | inversion leaf area index crop growth model time series MODIS |
| 本文献已被 CNKI 等数据库收录！ | |