基于多源遥感数据反演地表温度的单窗算法  

Mono-window Algorithm for Retrieving Land Surface Temperature Based on Multi-source Remote Sensing Data

作　　者：王倩倩[1] 覃志豪[1,2] 王斐[1] 

机构地区：[1]南京大学国际地球系统科学研究所,江苏南京210093 [2]中国农业科学院农业资源与农业区划研究所,北京100081

出　　处：《地理与地理信息科学》2012年第3期24-26,62,F0003,共5页Geography and Geo-Information Science

基　　金：国家重点基础研究发展计划(973计划)项目(2010CB951500)课题4(2010CB951504)

摘　　要：利用单窗算法反演地表温度时,一景影像通常使用一个大气透过率。大气水汽含量空间异质性会导致像元尺度上大气透过率不同,从而给地表温度反演带来误差。该文通过从研究区MODIS数据中反演出大气水汽含量,经过配准、重采样之后获得该区域像元尺度的大气透过率,利用同时相TM数据,采用单窗算法反演地表温度。结果表明:基于多源遥感数据反演地表温度的单窗算法,由于减少了大气水汽含量空间异质性带来的地表温度反演误差,能够得到更为合理的地表温度。The spatial heterogeneity of atmospheric water vapor content at regional scale will bring in error when using mono- window algorithm for retrieving LST. In this paper, the water vapor content was calculated by two channel ratio method based on MODIS near infrared data, then land surface temperature was retrieved by using the thermal infrared band of Landsat TM and mono-window algorithm. The exploited approach was applied to Zhengzhou City. The results show that the combination of multi-source remote sensing data and mono-window algorithm is effective for retrieving land suaee temperature and can yield a reasonable estimation of land surface temperature.

关 键 词：MODIS 单窗算法 大气水汽含量 大气透过率 

分 类 号：P208[天文地球—地图制图学与地理信息工程]