1. 瑞典雨美大学空间模拟中心, Kiruna 98028 瑞典;
2. 美国加州大学土气水资源系, Davis CA95616 美国;
3. 以色列本古里安大学沙漠研究所, Sede Boker Campas84990 以色列
SPLIT WINDOW ALGORITHMS FOR RETRIEVING LAND SURFACE TEMPERATURE FROM NOAA-AVHRR DATA
QIN Zhi-hao1, ZHANG Ming-hua2, Arnon Karnieli3
1. The Spatial Modelling Centre, Umea University, Kiruna 98028;
2. Dept. of Land, Air and Water Resources, University of California, Davis, CA 95616, USA;
3. J Blaustein Institute.for Desert Research, Ben Gurion University o f the Negev, Sede Boker Campus 84990, Israel
Abstract：NOAA-AVHRR has two thermal channels for monitoring the surface temperature of the earth. Split window algorithm is the most common technique for retrieving land surface temperature from AVHRR data. Several split window algorithms have been developed in the last two decades. The purpose of the paper is to introduce these algorithms for the potential users in China,with concentration on the presentation of their detailed computation and comparison of their accuracy in actual application of land surface temperature retrieval.
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2001, Vol. 13 
