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Abstract
Based on the CHRIS/PROBA hyperspectral remote sensing data,the authors retrieved the leaf area index(LAI) by A two-layer Canopy Reflectance Model(ACRM).The process consists of three main steps: Firstly,the high-spectral data was preprocessed and statistically analyzed.Secondly,sensitivity of the model to observing directions was analyzed.And finally,the best combinations of bands and parameters for the study area were chosen.The process was used to study the LAI of typical grass plots of Xilin River basin in Inner Mongolia.The results show that the application of CHRIS/PROBA data to the inversion of sparse grassland LAI is practical,and the multi-angle information of CHRIS/PROBA data has the potential advantages in decreasing the extent of LAI underestimation.
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