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基于混合像元分解的南方地区植被覆盖度遥感监测——以广州市为例
引用本文:张志新,邓孺孺,李灏,陈蕾,陈启东,何颖清.基于混合像元分解的南方地区植被覆盖度遥感监测——以广州市为例[J].国土资源遥感,2011(3):88-94.
作者姓名:张志新  邓孺孺  李灏  陈蕾  陈启东  何颖清
作者单位:中山大学地理科学与规划学院;国家海洋局南海海洋工程勘察与环境研究院;
基金项目:国家自然科学基金项目(编号:40671144); 水利部948项目(编号:200820)共同资助
摘    要:通过测量图像端元的地表反射率,对遥感图像进行精确大气校正;在对混合像元分解模型进行改进的基础上,建立了基于地表反射率的线性混合像元分解( Liner Spectral Unmixing,LSU)模型,有效地避免了因大气时间、空间差异所造成的多时相误差,实现了多时相对比;通过增加土壤湿度因子,消除了土壤湿度差异造成的误差...

关 键 词:植被覆盖度  线性混合像元分解  地表反射率  土壤湿度  Landsat  TM图像

Remote Sensing Monitoring of Vegetation Coverage in Southern China Based on Pixel Unmixing:A Case Study of Guangzhou City
ZHANG Zhi-xin,DENG Ru-ru,LI Hao,CHEN Lei,CHEN Qi-dong,HE Ying-qing.Remote Sensing Monitoring of Vegetation Coverage in Southern China Based on Pixel Unmixing:A Case Study of Guangzhou City[J].Remote Sensing for Land & Resources,2011(3):88-94.
Authors:ZHANG Zhi-xin  DENG Ru-ru  LI Hao  CHEN Lei    CHEN Qi-dong  HE Ying-qing
Institution:ZHANG Zhi-xin1,DENG Ru-ru1,LI Hao1,CHEN Lei1,2,CHEN Qi-dong1,HE Ying-qing1(1.School of Geographic Science and Planning,Sun Yat-sen University,Guangzhou 510275,China,2.South China Sea Marine Engineering and Environment Institute,SOA,Guangzhou 510300,China)
Abstract:Based on the measurement of the ground spectral reflectance of basal land covers and the accurate atmospheric correction for Landsat TM data,the authors improved the linear spectral mixture model(LSU)and developed a vegetation coverage retrieval model suitable for southern China.The effects of the atmospheric environment and the imaging time of remote sensing data were both reduced,contributing to the multi-temporal comparison,by the utilization of the ground spectral reflectance from field survey.The soil ...
Keywords:Vegetation coverage  Linear spectral unmixing(LSU)  Ground spectral reflectance  Soil moisture  Landsat TM image  
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