周纪遥感定量反演算法研讨会

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1、EstimatingHourlyLandSurfaceTemperaturebyIntegratingMulti-sourceRemotelySensedData周纪电子科技大学地表空间信息技术研究所jzhou233@gmail.comOutlineIntroductionDataMethodsApplicationConclusionsAcknowledgementsIntroductionImportanceoflandsurfacetemperature(LST)–Oneofthemostimportantparametersofsurface-atmosph

2、ereinteractions–Modelinghydrological,ecological,agricultural,andmeteorologicalprocessesFiguresource:http://climateknowledge.org.IntroductionRemotesensingofLST–Influencedbyfactorssuchasatmosphericcondition,landsurface,andtopography–MethodsforretrievingLST:split-windowalgorithms,single-channel

3、algorithms,TESalgorithms,andhybridmethodsAvailableglobalLSTproducts–MODISLST/emissivityproducts:daily,8-day,andmonthlyproductsIntroductionLimitationsandchallenges–Specificationsofremotesensingsensorslimitthetemporalresolutionsofthermalimages–ManylandsurfacemodelsrequireLSTswithhightemporalr

4、esolutions(e.g.hourlyorhalf-hourly)asinputsDataFengyun-2C(FY-2C)satellitedata–FY-2C:ageostationarysatellite–Sensor:Stretched-VisibleandInfraredSpin-ScanRadiometer(S-VISSR)ChannelWavelength(μm)SpatialDynamicNEΔT(K)resolutionrange(K)(km)IR110.3-11.35180-3300.2-0.4IR211.5-12.55180-3300.2-0.4IR3

5、6.3-7.65190-3000.3-0.5IR43.5-4.05180-3400.5-0.6DataMODISlanddataproducts–ThedailyLST/emissivityproduct(MOD11A1andMYD11A1)inversion5–Theyearlylandcover(MOD12Q1)inversion4–The16-dayvegetationindices(MOD13A2)inversion5–The16-daylandsurfacealbedo(MCD43B3)inversion5MethodsLSTretrievalfromS-VISSR

6、data–Thepracticalsplit-windowalgorithm(PSWA)forMODISdata(Maoetal.,2005,IJRS)wasappliedtotheS-VISSRdataafterrevisionT=[CBD(+−+)CB(D)]/(CACA−)s2111222112–CoefficientsofthePSWAwererevisedaccordingtothespectralfunctionsofS-VISSRchannelsIR1andIR2–Landsurfaceemissivities(LSE)inIR1andIR2werecalculat

7、edbasedontheLSEsofMODISchannels31and32–AtmospherictransmittancesofIR1andIR2werecalculatedfromtheatmospherictotalwatervaporcontentthroughregressionmodelsdevelopedbasedontheTIGRdatasetsTIGRprofilesMODTRANcodeModelsforTransmittancesMethodsInteg