The　southeast　mountainous　and　hilly　areas　are　characterized　by　the　occurrence　of　landslide　disasters　with　a　high　frequency　and　suddenness　due　to　their　unique　climatic　conditions　and　geological　environment.　However,　the　current　methods　for　evaluating　landslide　susceptibility　mainly　focus　on　static　factors　and　do　not　adequately　capture　the　dynamic　characteristics　of　landslides　in　the　southeastern　mountainous　region.　Therefore,　it　is　necessary　to　incorporate　dynamic　factors　in　order　to　enhance　the　timeliness　of　evaluation　results.　In　this　paper,　Datian　County　in　the　mountainous　and　hilly　region　of　southeast　China　were　selected　as　the　research　area,　and　six　evaluation　factors　including　slope,　slope　aspect,　surface　fluctuation,　stratigraphic　lithology,　normalized　difference　vegetation　index　and　average　annual　rainfall　were　selected.　Information　value　(IV)　model,　logistic　regression　(LR)　model　and　random　forest　(RF)　model　were　used　to　model　landslide　susceptibility,　conduct　rationality　test　and　accuracy　test.　The　surface　deformation　rate　in　the　study　area　was　derived　using　the　SBAS-InSAR　technique.　By　integrating　the　landslide　susceptibility　zoning　results,　a　dynamic　evaluation　matrix　was　constructed　to　achieve　dynamic　landslide　susceptibility　assessment　in　the　study　area.　The　results　show　that　the　receiver　operating　characteristic(ROC)　curve　area　under　curve(AUC)　value　of　the　random　forest　(RF)　model　is　the　largest　(0.851),　and　this　method　can　be　used　to　partition　the　landslide　susceptibility　in　the　southeastern　mountainous　region.　The　major　findings　revealed　that　among　the　known　landslides,　13　locations　exhibited　poor　stability,　83　locations　had　moderate　stability,　and　150　locations　were　relatively　stable.　Through　the　analysis　of　time-series　deformation　curves　of　landslides　with　poor　stability,　it　was　identified　that　seasonal　rainfall　was　the　primary　factor　affecting　landslide　stability　in　the　southeast　mountainous　and　hilly　areas.　©　2025　Institute　of　Engineering　Mechanics　(IEM).　All　rights　reserved.