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基于单通道算法的HJ-1B与Landsat 5 TM地表温度反演一致性研究
引用本文:Luo JH,Zhang JC,Huang WJ,Yang GJ,Gu XH,Yang H. 基于单通道算法的HJ-1B与Landsat 5 TM地表温度反演一致性研究[J]. 光谱学与光谱分析, 2010, 30(12): 3285-3289. DOI: 10.3964/j.issn.1000-0593(2010)12-3285-05
作者姓名:Luo JH  Zhang JC  Huang WJ  Yang GJ  Gu XH  Yang H
基金项目:国家科技支撑计划项目,国家(863计划)项目,环境与灾害监测顶报小卫星星座减灾应用系统项目
摘    要:针对传感器参数与Landsat 5 TM较为相近的环境减灾卫星HJ-1B的热红外数据是否能达到与TM6反演地表温度同样的效果的问题,作者获取了2009年4月15日覆盖北京地区相同范围的HJ-1B影像和Landsat 5 TM影像,采用Ji m啨nez-Mu oz和Sobrino的普适性单通道算法,通过遥感数据获取反演参数,对研究区的地表温度进行反演,并对两类数据反演结果的一致性进行了分析和评价。通过对反演结果的统计分析和分级填图表明,基于普适性单通道算法的HJ-1B与TM的热红外波段反演的地表温度在数值上和空间分布趋势上一致性较高。因此,具有较高时间分辨率和较大幅宽等优势的HJ-1B IRS数据在地表温度反演方面具有更大的潜力和应用范围。

关 键 词:单通道算法  HJ-1B  Landsat 5 TM  地表温度

The analysis of consistency between HJ-1B and Landsat 5 TM for retrieving LST based on the single-channel algorithm
Luo Ju-Hua,Zhang Jing-Cheng,Huang Wen-Jiang,Yang Gui-Jun,Gu Xiao-He,Yang Hao. The analysis of consistency between HJ-1B and Landsat 5 TM for retrieving LST based on the single-channel algorithm[J]. Spectroscopy and Spectral Analysis, 2010, 30(12): 3285-3289. DOI: 10.3964/j.issn.1000-0593(2010)12-3285-05
Authors:Luo Ju-Hua  Zhang Jing-Cheng  Huang Wen-Jiang  Yang Gui-Jun  Gu Xiao-He  Yang Hao
Affiliation:State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing 100875, China. luojuhua@126.com
Abstract:To ascertain whether the thermal infrared image of HJ-1B which has the similar sensor parameter and setting to Landsat 5 TM6 image is applicable for retrieving the land surface temperature (LST), a comparison of retrieved LST between two types of sensors was conducted. Two scenes of thermal infrared images that came from different sensors were acquired in 5th, Apr 2009, which covered the same region in Beijing. To retrieve LST, a generalized single-channel algorithm developed by Jiménez-Mu?oz and Sobrino was applied. The LST of study area for both images was thus generated. Based on the LST mapping results and corresponding statistics, an apparent trend could be observed which indicated the consistency in both LST value and its spatial distribution. Consequently, the performance of HJ-IB IRS serving as the data source for LST retrieval was assessed and illustrated in this study. Besides, a high temporal resolution as well as wide swath of the HJ-IRS data suggested its potential in application.
Keywords:
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