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1基于ETM+热红外波段的郑州地区地表温度反演算法研究摘要陆地表面温度在地一气相互作用过程中扮演着十分重要的角色，是全球变化研究的关键参数，对水文、生态、环境和生物地球化学等研究有重要意义，并且在农业气象、热惯量计算等方面也有重要的应用价值，定量精确反演陆面温度的成果将推动旱灾预报和作物缺水研究、农作物产量估算、数值天气预报、全球气候变化和全球碳平衡等领域研究的进展。因此，利用卫星遥感资料进行地表温度的反演己成为目前遥感定量研究中的重要任务之一。区域性的地表温度，是该地区热能量分布的重要参数，通过遥感影像获得是最便捷、最有效的方法.热红外遥感是遥感研究中的一个重要领域，而从热红外遥感图像中提取出温度信息是热红外遥感技术应用的前提。本文在地表温度研究进展的理论基础上,以黄河中下游沿岸城市郑州市和开封市进行了案例研究。在遥感和GIS技术的支持下，2001年5月10日的Landsat7ETM+热红外遥感影像数据采用单窗算法进行定量反演，得到了研究区地表温度的空间分布变化。关键词：热红外遥感；地表温度反演；单窗算法；ABSTRACTLandsurfacetemperatureisplayingaveryimportantroleinground-atmosphereinteraction.Itisakeyparameterintheglobalchangestudies,playingveryimportantmeaningsinresearchessuchashydrology,ecology,environmentandbiologicalgeochemistry,andthereisimportantapplicationvalueincalculatingagriculturalweather,hotinertiaetc,Achievementofquantitativeandaccuratelandsurfacepromotestheprocessofpredictionofdroughtdisaster、studyofcrops，estimationoncropoutput,numericalweatherforecast,globalclimaticchangeandglobalcarbonbalance.Soitbecomesoneofimportanttasksinquantitativeremotesensingresearchtomakeuseofsatelliteremotesensingtoretrievelandsurfacetemperatureatpresent.Landsurfacetemperature(LST)isacrucialparameterinindictingthermalenergydistribution,themostefficientwaytoacquireitisthroughthermalinfraredremotesensingimages.ThermalinfraredremotesensingisanimportantbranchofremotesensingwhereasLSTretrievingisthepremiseofit.Inthispaper，withthehelpofRSandGIStechnology，Landsat7ETM+IRimagesofZhengzhouCityandKaifengCitywereemployedtoretrieveseveralparametersbetweenlandandatmospheresuchassurfacealbedo,surfaceemissivityBasedontheseparametersandotherdatawhichmainlyatmospheredata,landsurfacetemperaturewerecalculatedtostudythetemporalchangetrendandspatialdistributioncharactersinstudyarea.Keywords:thermalinfraredremotesensing;LSTretrieving;mono-windowalgorithm2目录1绪论..................................................................................................................................................................11.1研究意义.......................................................................................................................................................12基于地表温度的遥感反演方法......................................................................................................................12.1理论基础.......................................................................................................................................................12.1.1基尔霍夫定律............................................................................................................................................12.1.2普朗克定律................................................................................................................................................22.2常见反演方法...............................................................................................................................................23热红外遥感的应用..........................................................................................................................................43.1热红外遥感资料在地震预报中的应用.......................................................................................................43.2热红外遥感技术在旱情监测的应用...........................................................................................................53.3热红外遥感在城市环境中的应用...............................................................................................................54研究区概况及数据预处理..............................................................................................................................64.1研究区范围及概况.......................................................................................................................................64.2数据预处理...................................................................................................................................................84.2.1遥感数据源的选择及非遥感资料的收集................................................................................................84.2.2Landsat7和ETM+介绍............................................................................................................................84.2.3遥感数据的预处理..................................................................................................................................104.3单窗算法反演地表温度.............................................................................................................................124.3.1大气等效温度和大气透射率..................................................................................................................124.3.2大气透过率的估计..................................................................................................................................124.4反演结果.....................................................................................................................................................135结论................................................................................................................................................................1