A FEASIBILITY STUDY OF LEAF AREA INDEX INVERSION
USING RADIATIVE TRANSFER MODEL BASED ON TM DATA
CHEN Yan-hua 1,2, ZHANG Wan-chang 1,2, YONG Bin 1,2
1.International Institute for Earth System Science (ESSI), Nanjing University, Nanjing 210093, China; 2.Regional Climate-Environment Research for Temperate East Asia, Institute of Atmosphere Physics, Chinese Academy of Sciences, Beijing 100029, China
Using a canopy radiative transfer model, PROSAIL, the authors introduced soil reflection index(SRI) to simplify model, and proposed a method for computing SRI directly from reflection. Besides, sensitivity analyses of various vegetation parameters on modeling performance under different band integration approaches were conducted. On the basis of sensitivity analyses of the model, a set of new band integration approaches with genetic algorithm was induced to calculate the estimating values of LAI for Landsat TM data . Experiments with Landsat TM data indicate that the retrieval accuracy is relatively high for vegetation with LAI less than 3, and that, with LAI more than 3, the retrieval accuracy is low. These phenomena are attributed to the fact that the canopy reflection is no longer sensitive to LAI when the vegetation is too densely developed. From this study, it is concluded that LAI retrieval with the PROSAIL model is only credible in a certain range.
陈艳华, 张万昌, 雍斌. 基于TM的辐射传输模型反演叶面积指数可行性研究[J]. 国土资源遥感, 2007, 19(2): 44-49.
CHEN Yan-Hua, ZHANG Wan-Chang, YONG Bin. A FEASIBILITY STUDY OF LEAF AREA INDEX INVERSION
USING RADIATIVE TRANSFER MODEL BASED ON TM DATA. REMOTE SENSING FOR LAND & RESOURCES, 2007, 19(2): 44-49.