Estimate ecological indicators of karst rocky desertification by spectral unmixing algorithm

Xia Zhang; Tong Shuai; Banghui Yang; Zhi Zhuang

doi:10.1117/12.2028077

24 October 2013 Estimate ecological indicators of karst rocky desertification by spectral unmixing algorithm

Xia Zhang, Tong Shuai, Banghui Yang, Zhi Zhuang

Proceedings Volume 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV; 889313 (2013) https://doi.org/10.1117/12.2028077
Event: SPIE Remote Sensing, 2013, Dresden, Germany

Abstract

Coverage rates of vegetation and exposed bedrock are two key indicators of karst rocky desertification (KRD) envionmnents. Based on spectral unmixing algorithm, abundance of vegetation and exposed rock were retrieved from the hyperspectral Hyperion image. They were verified by the spectral indices of Karst rocky desertification (SIRD) and vegetation chlorophyll index. It showed that the abundance had significant linear correlation with SIRD. The determinate coefficients (R²) were 0.93,0.66, 0.84 for vegetation, soil and rock respectively, indicating that the abundances of vegetation and bedrock can characterize their coverage rates to a certain extent. Then, the abundances of vegetation and bedrock were graded and integrated together to evaluate the rocky desertification in typical Karst region. This study implies that spectral unmixing algorithm based on hyperspectral remote sensing image will have potential use in monitoring and evaluating KRD.

Citation Download Citation

Xia Zhang, Tong Shuai, Banghui Yang, and Zhi Zhuang "Estimate ecological indicators of karst rocky desertification by spectral unmixing algorithm", Proc. SPIE 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV, 889313 (24 October 2013); https://doi.org/10.1117/12.2028077

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KEYWORDS

Vegetation

Remote sensing

Hyperspectral imaging

Absorption

Reflectivity

Digital photography

Evolutionary algorithms

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