反演陆面温度的分裂窗口算法与应用分析

Analysis of Split Window Algorithms for Estimating Land Surface Temperature from AVHRR Data

分裂窗口算法是目前由热红外遥感图象数据获取陆面温度最主要的方法。文中对１９９７年８月２２日内蒙古巴丹吉林沙漠地区的两幅ＮＯＡＡ／ＡＶＨＲＲ热红外图象，利用辐射传输模型ＬＯＷＴＲＡＮ７计算大气参数进行大气校正，在采用Ｌｉ＆Ｂｅｃｋｅｒ算法（１９９３）反演出具有一定可信度的地表发射率基础上，选取常见的５种分裂窗口算法分别获取了该地区的地表辐射温度，并以Ｓｏｂｒｉｎｏ１９９１算法结果为标准，进行了算法间比较，结果表明各算法具有可比性。

Split window algorithm is a major solution to retrieve land surface temperature from thermal infrared remote sensing data. In this paper, two images (daytime and night ) of NOAA/AVHRR are acquired at Badanjilin desert site on August 22 1997. After the atmospheric correction for the two images is performed by LOWTRAN 7 code, emissivity of certain confidence is estimated by using emissivity inversion algorithm of Li & Becker(1993). On the basis of the same emissivity knowledge, land surface temperature is retrieved by using five typical split window algorithms respectively. The temperature of each algorithm is compared with that of algorithm of Sobrino(1991), it turnes out that they are comparable and reliable.