Share Email Print
cover

Proceedings Paper

Hyperspectral remote sensing for land degradation mapping in China
Author(s): Jing Wang; Ting He; Yuhuan Li; Yongqi Chen; Chunyan Lv
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Land degradation is a major environmental problem internationally. Soil degradation is one of the key factors of land degradation, which is related to susceptibility to erosion, soil suitability, and soil characteristics especially at regional scale. It is important and meaningful to evaluate objectively land degradation at regional scale. The study is to present the classification approaches for land degradation by Degraded Soil Line Index (DSLI) and object-oriented method by determination of land degradation spectral response units (DSRU) compared to the spectral angle mapping (SAM) method using Hyperion image data for mapping land degradation. The method was tested in a study area located in Hengshan county in ShaanXi province, China, where is in the agriculture-pasture mixed area in Loess Plateau in China with complex physical geographical situation. The results showed that the three methods of SAM, DSLI and DSRU have the ability to map land degradation and degraded soil classes, and the performance of the methods of DSLI and SAM is different and DSLI is prior to SAM for land degradation mapping in the study area. Moreover, the results also showed that the object-oriented analysis method based on DSRU approach is valid for extraction of land degradation information and clearly shows the degraded land classes with an overall accuracy of 0.88 and Kappa coefficients of 0.86.

Paper Details

Date Published: 9 October 2009
PDF: 10 pages
Proc. SPIE 7471, Second International Conference on Earth Observation for Global Changes, 74710M (9 October 2009); doi: 10.1117/12.836437
Show Author Affiliations
Jing Wang, Ministry of Land and Resources (China)
Hong Kong Polytechnic Univ. (Hong Kong, China)
Ting He, Ministry of Land and Resources (China)
Yuhuan Li, ShanDong Agricultural Univ. (China)
Yongqi Chen, Hong Kong Polytechnic Univ. (Hong Kong, China)
Chunyan Lv, Ministry of Land and Resources (China)


Published in SPIE Proceedings Vol. 7471:
Second International Conference on Earth Observation for Global Changes
Xianfeng Zhang; Jonathan Li; Guoxiang Liu; Xiaojun Yang, Editor(s)

© SPIE. Terms of Use
Back to Top