Estimation of fractional vegetation coverage in water and soil loss area based on Radar vegetation index

doi:10.6046/gtzyyg.2015.04.25

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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.

Keywords remote sensing estimation planting acreage crop image classification accuracy

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Issue Date: 23 July 2015

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	ZHANG Huanxue
	LI Qiangzi
	WEN Ning
	Du Xin
	TAO Qingshan
	TIAN Yichen

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ZHANG Huanxue,LI Qiangzi,WEN Ning, et al. Estimation of fractional vegetation coverage in water and soil loss area based on Radar vegetation index[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(4): 165-170.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2015.04.25 OR https://www.gtzyyg.com/EN/Y2015/V27/I4/165

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