陆地卫星TM6波段范围内地表比辐射率的估计

doi:10.6046/gtzyyg.2004.03.07

全文: PDF(3645 KB)

HTML
输出: BibTeX | EndNote (RIS)

摘要

地表比辐射率是用热红外波段遥感数据反演地表温度的关键参数。目前,应用陆地卫星TM6波段数据反演地表温度共有3种算法,即大气校正法、单窗算法和单通道算法。这3种算法都需要TM6波段范围内的地表比辐射率作为地表温度反演参数。本文首先简介这3种反演算法;然后着重探讨TM6波段地表比辐射率估计方法;最后,利用这一方法对山东省陵县附近农田地区进行地表比辐射率估计和地表温度反演。结果表明,该方法能获得较合理的地表温度反演结果。

	服务

	把本文推荐给朋友
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章

Abstract：

Land surface emissivity (LSE) is an essential parameter for land surface temperature (LST) retrieval from thermal remote sensing data. Up till now, three methods have been proposed for LST retrieval from TM6 data, namely, atmospheric correction, mono-window algorithm and single channel algorithm, which all require LSE as a parameter. In this paper the authors have first reviewed the three methods and then dealt emphatically with the estimation of this parameter. The method was applied to Lingxian area of Shangdong Province in North China Plain, the most important agricultural area in China, for LSE estimation and LST retrieval. The result shows that the method can yield a reasonable estimation of thermal variation of that area.

收稿日期: 2003-11-11 出版日期: 2011-08-02

基金资助:

国家973项目(2000018601);中国农业科学院杰出人才项目资助。

作者简介: 覃志豪(1962-),男,博士,南京大学教授和博士生导师,中国农业科学院学科带头人,主要从事热红外遥感和农业遥感研究.

引用本文:

覃志豪, 李文娟, 徐斌, 陈仲新, 刘佳. 陆地卫星TM6波段范围内地表比辐射率的估计[J]. 国土资源遥感, 2004, 16(3): 28-32，36，41.
QIN Zhi-hao, LI Wen-juan, XU Bin, CHEN Zhong-xin, LIU Jia. THE ESTIMATION OF LAND SURFACE EMISSIVITY FOR LANDSAT TM6. REMOTE SENSING FOR LAND & RESOURCES, 2004, 16(3): 28-32，36，41.

链接本文:

https://www.gtzyyg.com/CN/10.6046/gtzyyg.2004.03.07 或 https://www.gtzyyg.com/CN/Y2004/V16/I3/28

[1] Qin Zhihao,Karnieli A,Berliner P. A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region［J］. Int. J. Remote Sens.,2001,22(18):3719-3746.

[2] 覃志豪,Zhang M,Karnieli A,et al.. 用陆地卫星TM6数据演算地表温度的单窗算法［J］. 地理学报,2001,56(4):456-466.

[3] 覃志豪,Li W,Zhang M,et al.. 单窗算法的基本大气参数估计方法［J］. 国土资源遥感,2003,(2):37-43.

[4] Jiménez-Muoz J C,Sobrino J A. A generalized single-channel method for retrieving land surface temperature from remote sensing data［J］. J. Geophys. Res.,2003,(accepted).

[5] Becker F,Li Z L. Surface temperature and emissivity at various scales:definition,measurement and related problems［J］. Remote Sens. Rev.,1995,12:225-253.

[6] Sobrino J A,Raissouni N,Li Z L. A comparative study of land surface emissivity retrieval from NOAA data ［J］. Remote Sens. Environ.,2001,75(2):256-266.

[7] 张仁华.对于定量热红外遥感的一些思考［J］. 国土资源遥感,1999,(1):1-6.

[8] 郑兰芬,赵德刚,童庆禧,等.航空热红外多光谱扫描仪(ATIMS)数据比辐射率信息分析和提取［J］. 红外与毫米波学报,1998,17(3):166-170.

[9] 张霞,张兵,郑兰芬,等. 航空热红外多光谱数据的地物比辐射率谱信息提取模型及其应用研究［J］. 红外与毫米波学报,2000,19(5):361-365.

[10] 李召良,Petitcolin F,张仁华.一种从中红外和热红外数据中反演地表比辐射率的物理算法［J］. 中国科学E辑,2000,(30):18-26.

[11] Sobrino J A,Jiménez-Muoza J C,Paolini L. Land surface temperature retrieval from Landsat TM 5［J］. Remote Sens. Environ.,2003,(accepted).

[12] Sobrino J A,Raissouni N,Li Z L. A comparative study of land surface emissivity retrieval from NOAA data ［J］. Remote Sens. Environ.,2001,75:256-266.

[13] Labed J,Stoll M P. Spatial variability of land surface emissivity in the thermal infrared band:spectral signature and effective surface temperature［J］. Remote Sens. Environ.,1991,38:1-17.

[14] Humes K S,Kustas W P,Moran M S,et al.. Variability of emissivity and surface temperature over a sparsely vegetated surface ［J］. Water Resources Res.,1994,30:1299-1310.

[15] Kerr YH,Lagouarde J P,Imbernon J. Accurate land surface temperature retrieval from AVHRR data with use of an improved split window algorithm ［J］. Remote Sens. Environ.,1992,41:197-209.

[16] Carlson T N,Ripley D A. On the relation between NDVI,fractional vegetation cover,and leaf area index ［J］. Remote Sens. Environ.,1997,62:241-252.