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基于时序InSAR技术的皮力青河流域滑坡易发性研究.docx

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基于时序InSAR技术的皮力青河流域滑坡易发性研究 Title:AStudyontheLandslideSusceptibilityinthePilikQingshuiRiverBasinUsingTime-seriesInSARTechnology Abstract: Landslidesposeasignificantthreattohumanlivesandinfrastructure.Therefore,itiscrucialtoassesslandslidesusceptibilityinordertominimizepotentialhazards.ThisstudyaimstoinvestigatethelandslidesusceptibilityinthePilikQingshuiRiverBasinusingTime-seriesInterferometricSyntheticApertureRadar(InSAR)technology.Byanalyzingsatellitedata,geologicalinformation,andtopographicfeatures,thisstudypresentsacomprehensiveunderstandingofthefactorscontributingtolandslideoccurrencesinthestudyarea.Theresultsprovidevaluableinsightforlandslideriskassessmentandmitigationstrategiesintheregion. Introduction: Landslidesaregeologicalhazardsthatcancauseseveredamagetohumansettlementsandinfrastructure.Theaccurateassessmentoflandslidesusceptibilityisofparamountimportanceforeffectivedisastermanagementandland-useplanning.Traditionalmethodsforassessinglandslidesusceptibilityoftenrelyonlimiteddatasourcesandlacktemporalinformation.However,Time-seriesInSARtechnologyhasemergedasapromisingtoolforstudyingsurfacedeformation,thereforeenablingenhancedlandslideriskassessmentcapabilities. Methods: 1.DataCollection:SatelliteSARimages(SyntheticApertureRadar)coveringthePilikQingshuiRiverBasinwereacquiredfortime-seriesanalysis. 2.DataProcessing:TheacquiredSARimageswereprocessedusinginterferometricSARtechniquestogenerateinterferograms,whichrevealthesurfacedeformationpatterns. 3.FeatureExtraction:Topographicfeatures,suchasslope,aspect,andelevation,werederivedfromdigitalelevationmodels(DEMs).Geologicalinformation,suchaslithology,soiltype,andlandcover,wasobtainedfromexistingdatabasesorfieldsurveys. 4.LandslideInventory:Aninventoryofpastlandslideeventswascompiledfromavailablerecords,fieldsurveys,andhistoricalimagery. 5.StatisticalAnalysis:Variousstatisticalanalysistechniques,includingweightsofevidence(WOE),frequencyratio(FR),andinformationvalue(IV),wereutilizedtocorrelatelandslideoccurrenceswit