Estuarine　wetland　vegetation　(EWV)　serves　as　a　critical　indicator　of　ecosystem　health　but　is　increasingly　threatened　by　human　activities　and　climate　change.　Though　remote　sensing　(RS)　data　provide　a　holistic　view　of　vegetation　change　with　sufficient　spatial　resolution,　temporal　changes　in　EWV　are　still　ambiguous　because　of　the　twisted　signals　between　phenological　dynamics　and　multi-scale　external　disturbances.　To　address　these　knowledge　gaps,　a　method　integrated　with　multi-resolution　analysis　wavelet　transform　(MRA-WT)　and　time-series　RS　images　were　utilized　in　this　study　to　uncover　detailed　multiple-scale　EWV　dynamics　from　the　perspectives　of　vegetation　phenology　and　evolution　trends.　Our　results　showed　that:　1)　The　MRA-WT　effectively　decomposes　NDVI　at　multiple　scales,　revealing　intra-　and　inter-annual　dynamics　of　EWV　in　complex　environments.　2)　In　the　Jiuduansha　(JDS)　wetland,　the　phenological　characteristics　and　evolution　processes　of　EWV　are　determined　by　vegetation　type　and　geographical　location.　3)　The　EWV　in　the　JDS　wetland　remained　stable　with　gradual　growth　from　2000　to　2021,　despite　the　impacts　of　sediment　reduction,　estuarine　projects,　and　invasive　species.　However,　a　declining　trend　post-2018　serves　as　a　warning　sign　of　potential　ecosystem　issues.　Moreover,　higher　spatial　and　temporal　resolutions　enable　more　precise　tracking　of　fine-scale　details　in　the　dynamics　of　EWV　with　the　proposed　method.