HJ-1B热红外遥感数据陆表温度反演误差分析  

Error Analysis of the Land Surface Temperature Retrieval Using HJ-1B Thermal Infrared Remote Sensing Data

作　　者：赵利民[1,2,3] 余涛[2,3] 田庆久 顾行发[2,3] 李家国[2,3] 万玮[4] 

机构地区：[1]南京大学国际地球系统科学研究所,江苏南京210093 [2]中国科学院遥感应用研究所,遥感科学国家重点实验室,北京100101 [3]国家航天局航天遥感论证中心,北京100101 [4]南京大学地理与海洋科学学院,江苏南京210093

出　　处：《光谱学与光谱分析》2010年第12期3359-3362,共4页Spectroscopy and Spectral Analysis

基　　金：国家科技支撑计划项目(2008BAC35B03);国防科技工业民用专项科研技术研究项目(07K00100KJ);国家自然科学基金项目(40970086);国家(973计划)前期研究专项课题项目(2010CB434801)资助

摘　　要：误差问题制约着遥感数据和模型的应用。结合HJ-1B热红外波段(IRS4)遥感数据,基于热红外辐射传输(radiant transfer,RT)模型,对陆表温度(land surface temperature,LST)反演误差源做精确理论分析,并就减小误差提出建议。首先利用MODTRAN 4修正IRS4 LST反演RT模型,通过建立偏微分方程,研究误差产生规律和各参量误差对模型总误差的贡献。分析发现,LST反演误差与随地表温度和比辐射率的升高而降低,随大气总水汽含量升高而升高;LST主要误差源为等效噪声温差、水汽估算误差和比辐射率误差,典型情况下将分别造成0.6,0.6和0.5 K的LST误差。总体而言,利用IRS4反演LST的误差在1 K左右,除非用地面探测手段将水汽误差和比辐射误差分别降低到5%和0.5%,否则IRS4数据无法满足精度高于1 K的LST应用。Error analysis is playing an important role in the application of the remote sensing data and model.A theoretical analysis of error sensitivities in land surface temperature（LST） retrieval using radiance transfer model（RT） is introduced,which was applied to a new thermal infrared remote sensing data of HJ-1B satellite（IRS4）.The modification of the RT model with MODTRAN 4 for IRS4 data is mentioned.Error sensitivities of the model are exhibited by analyzing the derivatives of parameters.It is shown that the greater the water vapor content and smaller the emissivity and temperature,the greater the LST retrieval error.The main error origin is from equivalent noise,uncertainty of water vapor content and emissivity,which lead to an error of 0.7,0.6 and 0.5 K on LST in typical condition,respectively.Hence,a total error of 1 K for LST has been found.It is confirmed that the LST retrieved from HJ-1B data is incredible when application requirement is more than 1K,unless more accurate in situ measurements for atmospheric parameters and emissivity are applied.

关 键 词：HJ-1B 陆表温度 误差分析 

分 类 号：TP722.5[自动化与计算机技术—检测技术与自动化装置]