%0 Journal Article
%T Retrieval of Land Surface Components Temperatures Using ATSR-2 Data<br>利用ATSR—2数据提取地表组分温度
%A HE Li-ming
%A YAN Guang-jian
%A WANG Jin-di
%A LI Xiao-wen
%A <br>何立明
%A 阎广建
%A 王锦地
%A 李小文
%J 遥感学报
%D 2002
%I 
%X Precise retrieval of land surface temperature from satellite remotely sensed data need atmospheric correction and a known effective emissivity of the pixel. Various split window algorithms have been used to solve the first problem, but they all need a known surface emissivity. LSF model can calculate the effective emissivity of the nonisothermal and heterogeneous pixel, but the data must be atmospherically corrected when using satellite images. In this paper, we have developed a model based algorithm that can correct the atmosphere effects and retrieve component temperatures using ATSR 2 dual angle observation. In this algorithm, QUAD algorithm is used to perform atmospheric correction, and LSF model is used to calculate the directional effective emissivity , by iteration, atmospheric correction and component temperatures retrieval can be completed synchronously. Good linearity was found between the difference of the directional emissivity and the difference of the directional brightness temperature after atmospheric correction. Although the range of the retrieved component temperatures is large, it is still clear that the component temperatures of vegetation and soil are separated. Further analysis of the uncertainty and sensitivity for the two component temperatures show that if only the most sensitive sample is used in inversion, the results tend to be more robust.
%K ATSR data
%K LSF modal
%K QUAD algorithm
%K component temperatures<br>ATSR数据
%K LSF模型
%K QUAD算法
%K 组分温度
%K 陆地表面温度
%K 土壤
%K 植被
%K 遥感
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=9C3E29B38DB678AB&yid=C3ACC247184A22C1&vid=B31275AF3241DB2D&iid=38B194292C032A66&sid=8575BEDA702C4B7C&eid=ED01F5AE50BE09C0&journal_id=1007-4619&journal_name=遥感学报&referenced_num=6&reference_num=16