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.
出处
《地理与地理信息科学》
CSCD
北大核心
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)
关键词
MODIS
单窗算法
大气水汽含量
大气透过率
MODIS
mono-window algorithm
atmospheric water vapor content
atmospheric transmittance
