Estimation of fractional vegetation coverage in water and soil loss area based on Radar vegetation index
HE Haiyan1, LING Feilong1, WANG Xiaoqin1, LIANG Zhifeng1,2
1. Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou university Fuzhou 350002, China; 2. Aerors Inc. Xi'an 710000, China
Abstract：Fractional vegetation coverage (FVC) is one of the important indicators for describing the extent of water and soil loss. Dimidiate pixel model assumes that a pixel value is only contributed by vegetation and non-vegetation. Fractional vegetation coverage is defined as the area ratio of vegetation. In this study, Radar vegetation index (RVI) was first derived from Radarsat-2 data by polarimetric decomposition. The FVC was estimated from RVI based on dimidiate pixel model. Then this model with RVI was applied to Hetian area in Changting county of Fujian Province. Finally, the authors verified the results with a reference FVC, which was calculated from the high resolution WorldView-2 image and ground-truth data by field work. The results correlate well to the reference data with R2 over 0.8. The result suggests that it is promising to use dimidiate pixel model with RVI to estimate FVC from Radarsat-2 polarimetric data. The method completely based on Radar data has solved the problem of the difficulty in obtaining data in Southern China and is also helpful to monitoring water and soil loss continuously.
何海燕, 凌飞龙, 汪小钦, 梁志锋. 基于雷达植被指数的水土流失区植被覆盖度估测[J]. 国土资源遥感, 2015, 27(4): 165-170.
HE Haiyan, LING Feilong, WANG Xiaoqin, LIANG Zhifeng. Estimation of fractional vegetation coverage in water and soil loss area based on Radar vegetation index. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(4): 165-170.
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2015, Vol. 27 
