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基于反射光谱与Landsat8OLI多光谱数据的艾比湖湿地土壤盐分估算.docx

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基于反射光谱与Landsat8OLI多光谱数据的艾比湖湿地土壤盐分估算 Title:EstimatingSoilSalinityintheAbiLakeWetlandBasedonReflectanceSpectroscopyandLandsat8OLIMultispectralData Abstract: Soilsalinityisasignificantfactorthataffectsthehealthandproductivityofwetlandecosystems.Accurateandefficientestimationofsoilsalinityisvitalfortheeffectivemanagementandpreservationofwetlandareas.Inthisstudy,weaimedtoestimatesoilsalinityintheAbiLakewetlandusingreflectancespectroscopyandLandsat8OperationalLandImager(OLI)multispectraldata.TheresearchinvolvedcollectingfieldmeasurementsofsoilsalinityandacquiringLandsat8OLIdataforthestudyarea.Reflectancespectroscopyanalysiswasconductedtoidentifyspectralbandssensitivetosaltconcentration.MultipleregressionanalysiswasthenusedtoestablishmodelsforestimatingsoilsalinitybasedonLandsat8OLIdata.Theresultsdemonstratedthepotentialofremotesensingtechniquesinaccuratelyestimatingsoilsalinityinwetlandecosystems. 1.Introduction: Wetlandecosystemsplayacrucialroleinmaintainingbiodiversity,regulatingwaterflow,andprovidingcriticalecosystemservices.However,soilsalinityposesasignificantthreattowetlandhealthandproductivity.Highsoilsalinitylevelsadverselyaffectvegetationgrowthandalterthewetland'secologicalbalance.Therefore,accurateestimationofsoilsalinityisessentialforeffectivewetlandmanagementandconservation. 2.Methodology: 2.1Studyareaselection: ThestudyareaselectedforthisresearchistheAbiLakewetland.Thiswetlandrepresentsatypicalsalinewetlandecosystemandischaracterizedbyvaryingdegreesofsoilsalinity. 2.2Fieldmeasurementsofsoilsalinity: Toobtainground-truthdata,soilsampleswerecollectedfromvariouspointswithinthewetlandarea.Soilsalinitywasmeasuredusingstandardlaboratorytechniques,providingareferencedatasetforvalidationandcalibrationoftheremotesensingmodels. 2.3Landsat8OLIdataacquisition: Landsat8OLIsatelliteimagerycoveringtheAbiLakewetlandareawasacquiredforfurtheranalyses.TheOLIsensorprovidesmultispectraldata,includingvisible,near-infrared,andshortwaveinfraredbandsthatareusefulforestimatingsoilprop