J.Geogr.Sci.2023,33(3):464-482DOI:https://doi.org/10.1007/s11442-023-2092-z©2023SciencePressSpringer-VerlagSpatiotemporalvariationsinremotesensingphenologyofvegetationanditsresponsestotemperaturechangeofborealforestintundra-taigatransitionalzoneintheEasternSiberiaLICheng1,2,ZHUANGDafang1,*HEJianfeng1,WENKege1,21.StateKeyLaboratoryofResourcesandEnvironmentInformationSystem,InstituteofGeographicSciencesandNaturalResourcesResearch,CAS,Beijing100101,China;2.UniversityofChineseAcademyofSciences,Beijing100049,ChinaAbstract:Phenologyisanimportantindicatorofclimatechange.Studyingspatiotemporalvariationsinremotesensingphenologyofvegetationcanprovideabasisforfurtheranalysisofglobalclimatechange.BasedontimeseriesdataofMODIS-NDVIfrom2000to2017,weextractedandanalyzedfourremotesensingphenologicalparametersofvegetation,includingtheStartofSeason(SOS),theEndofSeason(EOS),theMiddleofSeason(MOS)andtheLengthofSeason(LOS),intundra-taigatransitionalzoneintheEastSiberia,usingasym-metricGaussianfunctionanddynamicthresholdmethods.Meanwhile,weanalyzedthere-sponsesofthefourphenologicalparameterstothetemperaturechangebasedonthetem-peraturechangedatafromClimateResearchUnit(CRU).Theresultsshowthat:inregionssouthof64°N,withtheriseoftemperatureinAprilandMay,theSOSinthecorrespondingareawas5–15daysaheadofschedule;intheareabetween64°Nand72°N,withtheriseoftemperatureinMayandJune,theSOSinthecorrespondingareawas10–25daysaheadofschedule;inthenorthernmostofthestudyareaonthecoastoftheArcticOcean,withthedropoftemperatureinMayandJune,theSOSinthecorrespondingareawas15–25daysbehindschedule;inthenorthwestofthestudyareainAugustandthesouthwestinSeptem-ber,withthedropoftemperature,theEOSinthecorrespondingareaswas15–30daysaheadofschedule;inregionssouthof67°N,withtheriseoftemperatureinSeptemberandOctober,theEOSinthecorrespondingareawas5–30daysbehindschedule;thechangeoftheEOSinautumnwasmoresensitivetothechangeoftheSOSinspring,becausethesmallertem-peraturefluctuationcancausethelargerchangeoftheEOS;thegrow...