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1、COMPARISIONOFLANDSATANDMODISESTIMATESOFHEATFLUXES:EFFECTOFSURFACEHETEROGENIETYXiaodongZhang,TedrosBerhane,GeorgeSeielstadUniversityofNorthDakota,GrandForks,ND58202-9011ABSTRACTsensors.BothLandsatandMODIShavebeenusedinSEBALmodeling,withLandsatdeliveringabetterspatial
2、UsingremotesensingtocharacterizethehydrologicresolutionwhileMODISofferingpotentiallybetterbehaviorofthelandsurfaceonaroutinebasisisofestimatesinsurfacereflectance,emissivityandtemperatureconsiderablepracticalinterest.Techniquecombiningthankstoitshigherspectralresolu
3、tion.FewstudieshaveinformationonlandandatmosphericpropertieswithmadedirectcomparisonsofSEBALresultsbetweenthetworemotelyobservedvariableshasimprovedpredictionofasensors[3].Alsoitisofinteresttoevaluatehowthenumberofhydrologicalvariables,suchasevapo-comparisonwillvary
4、underdifferentlandscape.transpirationrate,whichisanimportantparameterforwaterresourcemanagementespeciallyoveragriculturalregions.WeestimatedsurfaceheatfluxesusingSEBALusingHowever,spatialextentoftypicalfieldscalesisnotbothLandsatandMODISobservationsovertwodifferentr
5、egularlyresolvedwithinthepixelresolutionofsatelliteareas,Brookings,SDwithquiteflatlandscapeandFortsensors.ThereforelandscapeheterogeneitywillinfluencePeck,MTwithmountainousterrain.Inthisstudy,wewilltheestimateofsurfacefluxesbysatellitesensorswithcomparetheestimateso
6、fheatfluxesbythetwosensorsanddifferentspatialresolutions.DatafromLandsatTM/ETM+evaluatehowthedifferenceinsurfaceheterogeneityaffects(120/60m)andMODIS(1km)satelliteplatformsareperformanceofSEBALmodeling.employedtoindependentlyestimateevapotranspiration.Evapotranspira
7、tionestimatesderivedwithSEBALatthese2.DATAANDMETHODSmultipleresolutionswereassessedagainsteddycovariancefluxmeasurementscollectedattwodifferentareas,2.1.FluxTowersBrookings,SDwithquiteflatlandscapeandFortPeck,MTwithmountainousterrain.Altogether,thesedataallowaTheBro
8、okingsfluxtowerislocatedonafamilyfarmwithmultiplescaleintercomparisonofremotelysensedactivelygrazedpastureofaverageheightof30–40cm.Thepred
