9 October 2009 An algorithm for retrieving rock-desertification from multispectral remote sensing images
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Proceedings Volume 7471, Second International Conference on Earth Observation for Global Changes; 747129 (2009) https://doi.org/10.1117/12.836441
Event: Second International Conference on Earth Observation for Global Changes, 2009, Chengdu, China
Abstract
Rock-desertification is a typical environmental and ecological problem in Southwest China. As remote sensing is an important means of monitoring spatial variation of rock-desertification, a method is developed for measurement and information retrieval of rock-desertification from multi-spectral high-resolution remote sensing images. MNF transform is applied to 4-band IKONOS multi-spectral remotely sensed data to reduce the number of spectral dimensions to three. In the 3-demension endmembers are extracted and analyzed. It is found that various vegetations group into a line defined as "vegetation line", in which "dark vegetations", such as coniferous forest and broadleaf forest, continuously change to "bright vegetations", such as grasses. It is presumed that is caused by deferent proportion of shadow mixed in leaves or branches in various types of vegetation. Normalized distance between the endmember of rocks and the vegetation line is defined as Geometric Rock-desertification Index (GRI), which was used to scale rock-desertification. The case study with ground truth validation in Puding, Guizhou province showed successes and the advantages of this method.
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Xueqi Xia, Qingjiu Tian, Yan Liao, "An algorithm for retrieving rock-desertification from multispectral remote sensing images", Proc. SPIE 7471, Second International Conference on Earth Observation for Global Changes, 747129 (9 October 2009); doi: 10.1117/12.836441; https://doi.org/10.1117/12.836441
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