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《Journal of Remote Sensing》 2014-04
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Soil-adjusted power comparison and application conditions of vegetation indices based on PROSAIL model

XU Wenjing;WANG Shaojun;School of Public Administration,China University of Geosciences;  
Soil-adjusted Vegetation Indexes( SAVIs) have been developed to eliminate the effect of soil background on Vegetation Indices( VIs). The soil-adjusted power of VIs varies with environment conditions. After summarizing the development of SAVI family,we compared and evaluated NDVI,SAVI,TSAVI,MSAVI,OSAVI,and GESAVI in terms of their resistance to soil variations over a series of Leaf Area Indices( LAI). Two datasets in use were simulated through PROSAIL model. The optimal application conditions of these VIs were noted. Based on the signal-to-noise ratio,these six VIs are classified into three categories. OSAVI and TSAVI can adjust soil noise betterly when applied to uniformly distributed canopy with intermediate-low LAI. MSAVI is more stable in the expression of vegetation information when LAI or vegetation species is heterogeneous. Analysis results based on M ODIS-VI and MODIS-LAI products over corresponding canopy preliminarily validates our conclusion.
【Fund】: Airborne geophysics and remote sensing techniques development and application China Geological Survey(No.12120113099900)~~
【CateGory Index】: Q94;TP79
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