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Journal of Applied Remote Sensing

Integration method to estimate above-ground biomass in arid prairie regions using active and passive remote sensing data
Author(s): Minfeng Xing; Binbin He; Xiaowen Li
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Paper Abstract

The use of microwave remote sensing for estimating vegetation biomass is limited in arid grassland regions because of the heterogeneous distribution of vegetation, sparse vegetation cover, and the strong influence from soil. To minimize the problem, a synergistic method of active and passive remote sensing data for retrieval of above-ground biomass (AGB) was developed in this paper. Vegetation coverage, which can be easily estimated from optical data, was combined in the scattering model. The total backscattering was divided into the amount attributed to areas covered with vegetation and that attributed to areas of bare soil. Backscattering coefficients were simulated using the established scattering model. A look-up table was established using the relationship between the vegetation water content and the backscattering coefficient for water content retrieval. Then, AGB was estimated using the relationship between the vegetation water content and the AGB. The method was applied to estimate the AGB of the Wutumeiren prairie. Finally, the accuracy and sources of error in this innovative AGB retrieval method were evaluated. The results showed that the predicted AGB correlated with the measured AGB (R 2 =0.8414 , RMSE=0.1953  kg/m 2 ). Thus, the method has operational potential for the estimation of the AGB of herbaceous vegetation in arid regions.

Paper Details

Date Published: 14 February 2014
PDF: 3 pages
J. Appl. Remote Sens. 8(1) 083677 doi: 10.1117/1.JRS.8.083677
Published in: Journal of Applied Remote Sensing Volume 8, Issue 1
Show Author Affiliations
Minfeng Xing, Univ. of Electronic Science and Technology of China (China)
Binbin He, Univ. of Electronic Science and Technology of China (China)
Xiaowen Li, Univ. of Electronic Science and Technology of China (China)


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