Research Papers

Integration method to estimate above-ground biomass in arid prairie regions using active and passive remote sensing data

[+] Author Affiliations
Minfeng Xing

University of Electronic Science and Technology of China, School of Resources and Environment, No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu 611731, China

Binbin He

University of Electronic Science and Technology of China, School of Resources and Environment, No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu 611731, China

Xiaowen Li

University of Electronic Science and Technology of China, School of Resources and Environment, No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu 611731, China

J. Appl. Remote Sens. 8(1), 083677 (Feb 14, 2014). doi:10.1117/1.JRS.8.083677
History: Received November 1, 2013; Revised January 17, 2014; Accepted January 20, 2014
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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 (R2=0.8414, RMSE=0.1953kg/m2). Thus, the method has operational potential for the estimation of the AGB of herbaceous vegetation in arid regions.

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Minfeng Xing ; Binbin He and Xiaowen Li
"Integration method to estimate above-ground biomass in arid prairie regions using active and passive remote sensing data", J. Appl. Remote Sens. 8(1), 083677 (Feb 14, 2014). ; http://dx.doi.org/10.1117/1.JRS.8.083677


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