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单窗算法和单通道算法对参数估计误差的敏感性分析 被引量:12

Sensitivity analysis of mono-window and single-channel algorithms to the possible errors in parameter estimation
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摘要 单窗算法和单通道算法的提出为应用LandsatTM热波段反演地表温度开辟了新途径。由于进行地面像元尺度同步温度测量难度较大,目前尚无法对这两种算法进行直接评判。通过对算法所需参数分别取一定变动区间并进行渐变取值测算,分析了算法对其参数估计误差的敏感性,以此作为对这两种算法适用性的一个间接评判依据。 The advent of the mono-window algorithm(MWA)and single-channel method(SCM)has opened up a new way for retrieving land surface temperature(LST)from Landsat TM thermal band.However,due to the great difficulty of obtaining the in situ ground measurements comparable to the pixel size of Landsat TM6 data at the satellite pass,validation of these two algorithms with the in situ measurements is still not feasible at the present time.In this paper,a sensitivity analysis has been conducted to examine the effects of possible errors in the three parameter(i.e.,ground emissivity “ε”,near-surface air temperature “T 0” and the atmospheric water vapor content “w”)estimations on LST retrievals,thus to provide an alternative way to assess the performance of the two algorithms.The research results show that:(1)both MWA and SCM are not very sensible to the possible errors of ε;(2)MWA is more sensible to the possible errors of w(when T 0 is low)or T 0(when w is high),if compared with the relatively insignificant impact of the possible errors of ε on the retrieved LSTs;(3)as for SCM,the effect of the possible errors of w on the LST retrievals is much greater than that of ε.
作者 丁凤 徐涵秋
出处 《测绘科学》 CSCD 北大核心 2007年第1期87-90,95,共5页 Science of Surveying and Mapping
基金 国家自然科学基金项目(40371107) 国家自然科学基金项目(40371096) 福建省自然科学基金计划资助项目(项目编号:2006J0281) 福建省教育厅科技项目(JB050303)
关键词 LANDSAT TM 单窗算法 单通道算法 参数估计误差 敏感性分析 Landsat TM mono-window algorithm single-channel method parameter estimation error sensitivity analysis
作者简介 丁凤(1973-),女,在职博士生,助理研究员,主要从事遥感与地理信息系统应用方面的研究。E—mail:fding@vip.sina.com.
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  • 1李召良,F.Petitcolin,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(z1):18-26. 被引量:13
  • 2覃志豪,LI Wenjuan,ZHANG Minghua,Arnon Karnieli,Pedro Berliner.单窗算法的大气参数估计方法[J].国土资源遥感,2003,15(2):37-43. 被引量:362
  • 3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. 被引量:527
  • 4张兆明,何国金,肖荣波,王威,欧阳志云.利用TM6数据反演陆地表面温度新算法研究[J].遥感技术与应用,2005,20(6):547-550. 被引量:26
  • 5周淑贞 张超.上海城市热岛效应[J].地理学报,1982,37:372-381.
  • 6Humes 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.
  • 7Kerr 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.
  • 8Carlson 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.
  • 9Becker F,Li Z L. Surface temperature and emissivity at various scales:definition,measurement and related problems[J]. Remote Sens. Rev.,1995,12:225-253.
  • 10Sobrino 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.

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