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Proceedings Paper

An algorithm for retrieving rock-desertification from multispectral remote sensing images
Author(s): Xueqi Xia; Qingjiu Tian; Yan Liao
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Paper 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.

Paper Details

Date Published: 10 October 2009
PDF: 9 pages
Proc. SPIE 7471, Second International Conference on Earth Observation for Global Changes, 747129 (10 October 2009); doi: 10.1117/12.836441
Show Author Affiliations
Xueqi Xia, China Univ. of Geosciences (China)
Qingjiu Tian, Nanjing Univ. (China)
Yan Liao, China Univ. of Geosciences (China)


Published in SPIE Proceedings Vol. 7471:
Second International Conference on Earth Observation for Global Changes

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