With　the　continuous　development　of　Earth　Observation　technology,　resolution　of　imagery　and　gridded　data　has　significantly　increased,　leading　to　a　rapid　increase　in　data　volume.　To　efficiently　acquire　and　analyze　these　vast　amounts　of　imagery　and　gridded　data,　image　tiling　technology　has　been　developed　to　effectively　access　data　of　interested　areas.　Tiling　technology　divides　large-scale　image　data　into　smaller　tiles,　providing　fast,　accurate,　and　efficient　access　support　for　imagery　and　gridded　data.　The　spatial　grid　model,　as　the　foundational　framework　of　the　new　generation　of　geographic　spatial　information,　plays　a　critical　role　in　the　retrieval,　integration,　services,　and　applications　of　imagery　and　gridded　data　resources.　When　tiling　image　data　based　on　the　spatial　grid　model,　it　always　generates　both　complete　and　incomplete　tiles.　Particularly,　when　conducting　image　tile　retrieval　using　the　same　rule-based　grid　in　the　retrieval　area,　incomplete　tile　phenomena　along　the　boundary　regions　of　the　retrieved　images　often　occur,　resulting　in　gaps　within　the　retrieval　area.　To　tackle　this　issue,　in　this　study,　we　present　a　new　topological　model　called　the　Grid　Six-Intersection　Model　(G-6IM),　specifically　designed　for　regular　rectangular　grids,　to　accurately　represent　boundary　issues　in　image　tiling.　Through　a　practical　case　study,　we　demonstrate　the　effectiveness　and　practical　application　potential　of　the　proposed　G-6IM　model,　providing　new　insights　and　guidance　for　the　improvement　and　optimization　of　imagery　and　gridded　data　tiling　technology.