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分裂窗辐射量线形组合反演陆面温度的影响因子分析 被引量:3

ANALYSIS ON INFLUENCING FACTORS OF LAND SURFACE TEMPERATURE RETRIEVED BY USING SPLIT WINDOW ALGORITHM WITH LINEAR COMBINATION OF TWO CHANNELS' RADIANCE
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摘要 大气特性与地物发射率是影响陆温反演精度的主要因素,不同的分裂窗表达式用于陆温反演存在不同的反演结果,其中两通道辐射量线形组合形式的分裂窗算法受大气影响最小,反演温度的误差也最小.其反演温度的误差与大气透过率和大气向上辐射无关,但与地物的发射率、大气向下辐射相关.分裂窗表达式B(λ,′Ts°)=a.I(λ1)+b.I(λ2)+c中的反演系数a、b与大气向上辐射无关,但分别与通道1、通道2的大气透过率成反比.当定标点发射率不完全一致时,二者还与大气向下辐射相关;相反,如果定标点发射率完全一致,二者与大气向下辐射无关.使用辐射量线性组合的分裂窗形式反演陆温时,当大气向下辐射与地物的P lanck辐射越相近,误差越小. Characteristics of atmosphere and emissivities are the major influencing factors in land surface temperature retrieval. Different split window expressions can result in different retrievals of land surface temperature. Among them, the split window algorithm with linear combination of two channels' radiance has the least atmospheric influence. Retrieved temperature errors are correlated with emissivities and downwelling atmospheric radiance, not correlated with transmittance and upwelling atmospheric radiance. Retrieved coefficients ( a and b) of split window method (B( λ', Ts' ) = a ·I(λ1 ) + b·I(λ2 ) + c ) have not relations with upwelling atmospheric radiance, but have inverse ratio with transmittance of two channels, respectively. When the land surfaces for calibration have different emissivities, the retrieved coefficients a and b have relations with downwelling atmospheric radiance, however, if the land surfaces for calibration have the same emissivities, the retrieved coefficients a and b will bear no relation to downwelling atmospheric radiance. When the downwelling atmospheric radiance is more approach to Planck radiance of land surface, the error of this method will be more trivial.
出处 《红外与毫米波学报》 SCIE EI CAS CSCD 北大核心 2005年第5期381-385,共5页 Journal of Infrared and Millimeter Waves
基金 上海市科技发展基金项目资助(04dz05117 035115006) 973项目资助(2001CB309401)
关键词 分裂窗 温度反演 热红外 发射率 split window temperature retrieval thermal infrared emissivity
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参考文献7

  • 1Sobrino J A, Coll C, Caselles V. Atmospheric correction for land surface temperature using NOAA 11 AVHRR[ J ]. Remote sensing of environment, 1991, 38:19-34.
  • 2Becker F. The impact of spectral emissivity on the measurement of land surface temperature from a satellite [ J ]. International Journal of Remote Sensing, 1987, 8:1509-1522.
  • 3Becker F, Li Z L. Toward a local split window method over land surfaces [ J ]. International Journal of Remote Sensing,1990, 3:369-393.
  • 4Kerr Y H, Lagouarde J P, Imberon J. Accurate land surface temperature retrieval from AVHRR data with use of an improved split window algorithm [ J ]. Remote sensing of environment, 1992, 41:197-209.
  • 5肖青,柳钦火,李小文,陈良富,刘强,辛晓洲.热红外发射率光谱的野外测量方法与土壤热红外发射率特性研究[J].红外与毫米波学报,2003,22(5):373-378. 被引量:41
  • 6马耀明,刘东升,苏中波,李召良,Massimo Menenti,王介民.卫星遥感藏北高原非均匀陆表地表特征参数和植被参数[J].大气科学,2004,28(1):23-31. 被引量:35
  • 7Sobrino J A, Li Z L, Stoll M P. Impact of the atmospheric transmittance and total water vapor content in the algorithms for estimating satellite sea surface temperature [ J ]. IEEE Transactions on Geoscience and Remote sensing, 1993, 31( 5 ) :946-952.

二级参考文献21

  • 1陈洪滨,吕达仁.关于卫星遥感半干旱草原陆面过程的方法和应用研究[J].气候与环境研究,1997,0(3):119-126. 被引量:3
  • 2吴艾笙,钟强.黑河实验区的地表反射率与植被指数[J].大气科学,1993,17(2):155-162. 被引量:10
  • 3钟强,韦志刚.青藏高原地表反射率卫星反演资料的评估[J].高原气象,1996,15(2):157-164. 被引量:6
  • 4Ingram P M, Henry M A. Sensivity of iterative spectrally smooth temperature/emissivity separation to algorithmic assumptions and measurement noise. IEEE Transactions on Geoscience and Remote Sensing, 200l, 39(10) : 2158-2167.
  • 5Rubio E, Caselles V, Badenas C. Emissivity measurements of several soils and vegetation types in the 8-14μm wave band : analysis of two field methods. Romote Sensing of Environment, 1997, 59:490-521.
  • 6Salisbury J W, D' Aria D M. Emissivity of terrestrial materials in the 8 - 14μm atmospheric windows. Remote Sensing of Environment, 42 : 83-110.
  • 7Salisbury J W, D' Aria D M. Infrared (8 - 14μm) remote sensing of soil particle size. Remote sensing of Enviromnent.1992, 42:157-165.
  • 8Nerry F, Labed J, Stoll M P. Spectral properties of land surfaces in the thermal infrared, 1. Laboratory measurements of absolute spectral emissivity signatures. Journal of Geophysical Research, 1990, 95( B5 ) : 7027-7044.
  • 9Hook S J, Gabell G A. A comparison of techniques for extracting emissivity information from thermal infrared data for geological studies. Remote Sensing of Environment, 1992,42:123-135.
  • 10Kealy P S, Hook S J. Separating temperature and emissivity in thermal infrared multispectral scanner data: implication for recovering land surface temperature. IEEE Transactions on Geoscience and Remote Sensing, 1993, 31 : 1155-1164.

共引文献74

同被引文献27

  • 1何立明,阎广建,王华,李小文.从宽波段热红外图像反演组分温度的相关问题讨论——通道响应函数和比辐射率波段变化的影响[J].遥感学报,2005,9(3):234-241. 被引量:7
  • 2张勇,顾行发,余涛,张玉香,祁瑞利,李小文.中巴地球资源卫星热红外通道的交叉辐射定标[J].红外与毫米波学报,2006,25(4):261-266. 被引量:23
  • 3杨贵军,柳钦火,黄华国,刘强,顾行发.基于场景模型的热红外遥感成像模拟方法[J].红外与毫米波学报,2007,26(1):15-21. 被引量:26
  • 4Thomas Schmuggea,Andrew Frencha,Jerry C Ritchiea,et al.Temperature and emissivity separation from multispectral thermal infrared observations [ J ].Remote Sensing of Environment,2002,79:189-198.
  • 5Gillespie A,Rokugawa S,Matsunaga T,et al.A.B..A temperature and emissivity separation algorithm for Advanced Spacebome Thermal Emission and Reflection radiometer (ASTER) images[ J].IEEE Transactions on Geoscience and Remote Sensing,1998,36,1113-1126.
  • 6César Coll,Vicente Caselles,Enric Valor,et al.Validation of temperature-emissivity separation and split-window methods from TIMS data and ground measurements [ J].Remote Sensing of Environment,2003,85:232-242.
  • 7Frédéric Jacob,Francois Petitcolin.Comparison of land surface emissivity and radiometric temperature derived from MODIS and ASTER sensors [ J ].Remote Sensing of Environment,2004,90:137-152.
  • 8.[EB/OL].http://www.icess.ucsb.edu/modis/EMIS/html/em.html.,.
  • 9李小文 汪骏发 王锦地.多角度与热红外对地观测[M].北京:科学出版社,2001..
  • 10Qin Z,Karnieli A,Berliner P R.A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to Israel-Egypt border region[J]International Journal of Remote Sensing,2001,22:719-746.

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