首页|Urban Land Use Change Detection Using Multisensor Satellite Images
Urban Land Use Change Detection Using Multisensor Satellite Images
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
万方数据
维普
Due to inappropriate planning and management, accelerated urban growth and tremendous loss in land, especially cropland, have become a great challenge for sustainable urban development in China, especially in developed urban area in the coastal regions; therefore, there is an urgent need to effectively detect and monitor the land use changes and provide accurate and timely information for planning and management. In this study a method combining principal component analysis (PCA) of multiseusor satellite images from SPOT (systeme pour l'observation de la terre or earth observation satellite)-5 muttispectral (XS) and Landsat-7 enhanced thematic mapper (ETM) panchromatic (PAN) data, and supervised classification was used to detect and analyze the dynamics of land use changes in the city proper of Hangzhou. The overall accuracy of the land use change detection was 90.67% and Kappa index was 0.89. The results indicated that there was a considerable land use change (10.03% of the total area) in the study area from 2001 to 2003, with three major types of land use conversions: from cropland into bnilt-up land, construction site, and water area (fish pond). Changes from orchard land into built-up land were also detected. The method described in this study is feasible and useful for detecting rapid land use change in the urban area.
change detectionland usemultisensor satellite imageprincipal component analysis (PCA)urban area
DENG Jin-Song、WANG Ke、LI Jun、DENG Yan-Hua
展开 >
Institute of Agricultural Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310029 China
Zhejiang Environmental Scientific Institute, Hangzhou 310028 China
Changsha Environmental Protection College, Changsha 410004 China
NETL
NSTL
万方数据
维普
