Conference Proceedings
Analyzing the degradation sequence of the meadow grassland in Xilin River Basin, Inner Monglia, using multi-temporal Landsat TM/ETM Sensor data
S Chen, J Liu, D Zhuang, X Xiao, X Yu, H Chen
Proceedings of SPIE the International Society for Optical Engineering | SPIE-INT SOC OPTICAL ENGINEERING | Published : 2004
DOI: 10.1117/12.559293
Abstract
Landsat TM/ETM+ sensor data has proven to be a highly effective data source for vegetation and land use classification at both global and regional scales. In this study, based on land cover classification, we conducted computer-aided analysis of degradation sequence of the meadow grassland in Xilin River Basin, Inner Mongolia, using 4 sets of Landsat TM/ETM+ images (WRS 124-39 and 124-30) acquired on Jul.31, 1987, Aug.11, 1991, Sep. 27, 1997 and May 23, 2000, respectively. Primarily, 17 sub-class land cover types were recognized, including 9 grassland types at community level: F. sibiricum steppe, S. baicalensis steppe, A. chinensis + forbs steppe, A. chinensis + bunchgrass steppe, A. chinen..
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