Intertidal　zones　serve　as　a　critical　transition　between　land　and　ocean　and　are　periodically　inundated　by　tides.　They　are　extremely　important　to　coastal　communities　as　it　provides　diverse　habitats　and　buffers　against　marine　hazards.　However,　the　reduced　river　sediment　together　with　sea　level　rise　and　coastal　reclamation　have　caused　the　widespread　loss　of　intertidal　areas.　Reliable,　high-resolution,　and　up-to-date　intertidal　topography　maps　are　key　information　for　coastal　vulnerability　assessment　and　restoration.　Existing　approaches　to　intertidal　topography　reconstruction　involve　significant　ground　surveys,　with　limited　spatial　coverage,　accuracy,　and　efficiency,　thus,　restricting　their　potential　to　generalize　globally.　To　address　these　issues,　we　propose　a　pixel-based　approach　to　construct　intertidal　topography　from　dense　Sentinel-2　satellite　time-series　and　limited　ground　truth　surveys,　named　as　Tide2Topo.　Tide2Topo　differs　conceptually　from　the　widely　used　waterline　method　since　it　considers　tidal　inundation　frequency　as　a　topographic　indicator　rather　than　instantaneous　waterlines.　Therefore,　Tide2Topo　does　not　involve　manual　selection　of　images　at　different　tide　levels.　The　relationship　between　intertidal　inundation　frequency　and　elevation　is　calibrated　using　linear　and　polynomial　models　based　on　a　few　transect　measurements　instead　of　tidal　height,　preventing　errors　introduced　by　inaccurate　tidal　data.　The　proposed　Tide2Topo　was　applied　and　validated　in　the　UK　and　China　over　several　complicated　estuaries　and　bays　with　extensive　muddy　flats　or　sandy　beaches.　The　results　demonstrated　that　the　topography　derived　from　intertidal　inundation　frequency　compared　to　LiDAR　or　UAV　photogrammetric　observations　has　a　root　mean　square　error　ranging　from　16　to　38　cm.　The　large　errors　were　found　in　the　tidal　channel　areas　where　the　inundation　frequency　calculation　was　prone　to　uncertainty.　Dense　Sentinel-2　time-series　observations　ensure　finer　sampling　of　the　tidal　cycle,　thereby　not　only　eliminating　errors　caused　by　spatial　interpolation　but　also　maintaining　the　accuracy　of　elevation　estimations　at　pixel　level.　Tide2Topo　is　a　robust,　portable　and　rapid　method　that　is　well　suited　to　largescale　intertidal　topography　reconstruction.　Future　work　could　use　Sentinel-1　SAR　as　an　alternative　data　source　for　Tide2Topo,　realizing　seasonal　or　annual　monitoring　of　intertidal　geomorphological　changes.