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遥感蒸散发模型研究进展综述.docx

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遥感蒸散发模型研究进展综述 Title:ALiteratureReviewofResearchProgressinRemoteSensingEvapotranspirationModels Introduction: Evapotranspiration(ET)isacrucialcomponentofthewatercycleandplaysasignificantroleinvariousapplicationssuchashydrologicalmodeling,irrigationmanagement,andclimatechangestudies.RemotesensinghasbecomeavaluabletoolforestimatingETatlargescales,providingspatialandtemporalinformationwithhighaccuracy.Thispaperaimstopresentacomprehensivereviewoftheresearchprogressinremotesensing-basedevapotranspirationmodels. 1.TraditionalEvapotranspirationModels: Beforetheadventofremotesensing,evapotranspirationwasestimatedusingtraditionalmethodssuchasthePenman-Monteithequation,whichrequiresmeteorologicaldataasinput.Thisapproachhaslimitationsintermsofspatialrepresentativenessanddataavailability,especiallyinregionswithsparseweatherstationnetworks.Remotesensingmodelsofferanalternativesolutionbyutilizingsatellite-derivedvegetationindices. 2.ApplicationofRemoteSensinginEvapotranspirationEstimation: Differentremotesensingdata,includingoptical,thermal,andmicrowaveimagery,havebeenappliedtoestimateevapotranspiration.OpticalsensorssuchasLandsatandMODIShavebeenwidelyusedtoderivevegetationindices(e.g.,NDVI,EVI)assurrogatesforestimatingET.Theseindicesarerelatedtovegetationgreennessandprovideinformationonwateravailabilityandvegetationhealth.Thermalsensors,suchasMODISandASTER,uselandsurfacetemperature(LST)toestimateET,consideringtheenergybalancebetweenthelandsurfaceandtheatmosphere.Microwavesensors,suchasSMAPandSMOS,exploitthesensitivityofmicrowavesignalstosurfacemoistureandvegetationwatercontent. 3.EvapotranspirationModels: Numerousmodelshavebeendevelopedtoestimateevapotranspirationfromremotelysenseddata.SomecommonlyusedmodelsincludetheSurfaceEnergyBalanceSystem(SEBS),MappingEvapotranspirationataHighResolutionwithInternalizedCalibration(METRIC),andSimplifiedSurfaceEnergyBalance(SSEB)approaches.Thesemodelsutilizevariousremotesensingdatainputs,suchasvegetationindices,landsurfacetemperature,andsurface