首页 | 本学科首页   官方微博 | 高级检索  
     检索      

多源卫星遥感影像进行土地利用变化监测
作者姓名:DENG Jin-Song  WANG Ke  LI Jun  DENG Yan-Hua
作者单位:DENG Jin-Song,WANG Ke(Institute of Agricultural Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310029 China);LI Jun(Zhejiang Environmental Scientific Institute, Hangzhou 310028 China);DENG Yan-Hua(Changsha Environmental Protection College, Changsha 410004 China)  
摘    要: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 multisensor satellite images from SPOT (systeme pour l'observation de la terre or earth observation satellite)-5 multispectral (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 built-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.

关 键 词:城市土地利用  传感卫星图像  变化检测  农田
收稿时间:8 May 2008

Urban land use change detection using multisensor satellite images
DENG Jin-Song,WANG Ke,LI Jun,DENG Yan-Hua.Urban land use change detection using multisensor satellite images[J].Pedosphere,2009,19(1):96-103.
Authors:DENG Jin-Song  WANG Ke  LI Jun and DENG Yan-Hua
Institution:Institute of Agricultural Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310029 (China);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)
Abstract: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.
Keywords:change detection  land use  multisensor satellite image  principal component analysis (PCA)  urban area
本文献已被 维普 万方数据 ScienceDirect 等数据库收录!
点击此处可从《土壤圈》浏览原始摘要信息
点击此处可从《土壤圈》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号