反演陆面温度的分裂窗口算法与应用分析

张霞; 朱启疆; 闵祥军

doi:10.11834/jig.199907133

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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
1999年4卷第7期页码：595
纸质出版：1999
DOI： 10.11834/jig.199907133
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张霞, 朱启疆, 闵祥军. 反演陆面温度的分裂窗口算法与应用分析[J]. 中国图象图形学报, 1999,4(7):595. DOI： 10.11834/jig.199907133.

Analysis of Split Window Algorithms for Estimating Land Surface Temperature from AVHRR Data[J]. Journal of Image and Graphics, 1999, 4(7): 595. DOI： 10.11834/jig.199907133.

摘要

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

Abstract

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 comparedwith that of algorithm of Sobrino(1991)

it turnes out that they are comparable and reliable.

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