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1、ReconstructionofNDVItime-seriesdatasetsofMODISbasedonSavitzky-GolayfilterBIANJinhu1,2,LIAinong1,3,SONGMengqiang1,MALiqun1,2,JIANGJingang1,41.InstituteofMountainHazardsandEnvironment,ChineseAcademyofSciences,SichuanChengdu610041,China;2.GraduateUniversityofChineseAcademyofSciences,Beijing100039,Ch
2、ina;3.DepartmentofGeography,UniversityofMaryland,CollegePark,MD20742,USA;4.DepartmentofEnvironmentalEngineering,ChengduUniversityofInformationTechnology,SichuanChengdu610225,ChinaAbstract:ThispaperusesSavitzky-GolayfiltermethodtoreconstructMODIS16dNDVItime-seriesproductofRuoergaiplateauwetlandfro
3、m2000to2009,andtheresultsarecomparedwithothertwomethods—MeanValueIterationfilterandFou-riermethod.Asaresult,reconstructingmethodbasedonSavitzky-GolayfilterhasgotabetterresultinbothimagevisualeffectsandNDVItemporalprofiles.High-qualitylongtime-seriesNDVIwhichisreconstructedbasedonthismethodoffersa
4、goodfoundationforthemonitoringofecosystemofRuoergaiwetland.Keywords:Savitzky-Golayfilter,NDVI,time-serie,MODISCLCnumber:TP751.1Documentcode:ACitationformat:BianJH,LiAN,SongMQ,MaLQandJiangJG.2010.ReconstructionofNDVItime-seriesdatasetsofMODISbasedonSavitzky-Golayfilter.JournalofRemoteSensing.14(4)
5、:725—7411INTRODUCTIONCalculatedfrommulti-spectralremotesensingdata,Vegeta-tionindex(VI)isacertainsenseofvaluewhichindicatesthegrowthorbiomassofvegetation(Zhao,2003).VIhasacloserelationshipwithbio-physicalparameterssuchasLAI,chloro-phyllcontent,vegetationcoverageandbiomass,anditisalsooneoftheimpor
6、tantparametersoflandsurfaceeco-environ-mentalsystemssuchasclimatechange,plantevapotranspira-tionandsoilmoisture(Lu,2005;Moreauetal.,2003;Tong&Zhang,2007).Time-seriesVIdataderivedfromhightemporalresolutionsatellitesensorssuchasNOAA/AVHRR,SPOT/VEGETATIONorMODIShavebeenwidelyusedinmonitor-ingofveget
7、ationdynamics,macro-vegetationcoverclassifica-tionandinversionoftheplantbio-physicalparameters(Guetal.,2007).Previousstudiesfocusedmainlyondifferentvegeta-tiontypesordifferentclimatezones.Thequantitativestudyonthelandc
