Soil moisture inversion in the vegetation-covered area：A case study of Beijing City

doi:10.6046/gtzyyg.2014.02.05

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Abstract

Taking Beijing as the study area, the authors developed a method of soil moisture inversion by using Radar data and optical remote sensing images in the vegetation-covered area. Firstly, NDWI was extracted by using homochronous optical images, and then water-cloud model was used to eliminate the contribution of backscattering coefficients caused by the vegetation. Secondly, HH and HV backscattering coefficients were employed to construct the soil moisture inversion model in consideration of surface roughness based on backscattering database built by AIEM model and Oh model. Then the simulating data were used to validate the accuracy of this model. The result shows that the RMSE and relative error of HH is 0.044 and 15.5%, and the RMSE and relative error of HV is 0.057 and 20.3% respectively. It is proved that the result of using HH backscattering coefficient is much better than that of using HH backscattering coefficient.

Keywords lunar water ice Radar miniature radio frequency(Mini-RF)

TP79

Issue Date: 28 March 2014

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	ZHANG Donghua
	ZHANG Chunhua
	LIU Rui
	JIANG Yanguang

Cite this article:

ZHANG Donghua,ZHANG Chunhua,LIU Rui, et al. Soil moisture inversion in the vegetation-covered area：A case study of Beijing City[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(2): 27-32.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2014.02.05 OR https://www.gtzyyg.com/EN/Y2014/V26/I2/27

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