[Objective]　Forest　ecological　quality　reflects　the　ecological　quality　of　forests　from　an　ecological　perspective,　measuring　the　comprehensive　capacity　of　forests　to　improve　the　ecological　environment,　maintain　ecological　balance,　and　provide　ecological　functions　and　services.　Utilizing　medium　and　high-resolution　multisource　remote　sensing　data,　we　aim　to　acquire　crucial　indicator　information　that　characterizes　forest　ecological　quality　at　a　large-scale　level.　Based　on　this　foundation,　our　objective　is　to　analyze　the　forest　ecological　quality　status　in　the　40　coastal　counties　of　Fujian　Province　of　eastern　China.　[Method]　Firstly,　the　primary　data　source　utilized　was　2　m　resolution　multisource　remote　sensing　data.　The　bi-level　scale-sets　model　(BSM)　was　employed　to　determine　the　optimal　segmentation　scale,　integrating　multiple　classifiers　to　create　an　algorithm　set.　The　best　classification　algorithm　for　forest　type　extraction　was　automatically　selected.　This　approach　was　complemented　by　the　use　of　Sentinel　remote　sensing　data　in　2020　and　fine　forest　classification　products,　resulting　in　an　optimized　fine-scale　distribution　map　of　coastal　forests　in　Fujian　Province　for　year　2020.　Secondly,　forest　age　was　estimated　using　disturbance　onset　time　features　derived　from　the　LandTrendr　algorithm.　Additionally,　GEDI　crown　height　products　were　used　to　obtain　the　canopy　height　distribution　map　of　coastal　forests.　Building　upon　the　extraction　of　key　forest　quality　indicators　through　remote　sensing　methods,　a　principal　component　analysis　was　conducted　on　eight　forest　ecological　quality　assessment　indicators　obtained　through　remote　sensing.　This　led　to　a　comprehensive　assessment　of　forest　ecological　quality　for　the　coastal　counties　of　Fujian　Province.　[Result]　In　2020,　approximately　50%　of　the　40　coastal　counties　in　Fujian’s　coastal　zone　exhibited　a　favorable　level　of　forest　ecological　quality.　Among　them,　Xianyou　County,　Minhou　County,　Nan’an　City,　Xiapu　County,　Zherong　County,　as　well　as　the　districts　of　Haicang,　Siming,　Jimei,　and　Tong’an　in　Xiamen,　demonstrated　excellent　forest　ecological　quality.　On　the　other　hand,　counties　with　relatively　poor　forest　ecological　quality　included　Huian　County,　Xiuyu　District,　Shishi　City,　Fu’an　City,　Pingtan　Experimental　Zone,　and　Zhao’an　County.　[Conclusion]　Utilizing　high　and　medium-resolution　multisource　remote　sensing　data,　the　advantages　of　remote　sensing　large-scale　monitoring　have　been　leveraged　to　provide　an　objective　assessment　of　the　forest　ecological　quality　in　the　40　coastal　counties　of　Fujian　Province.　The　research　findings　reveal　that　there　is　considerable　room　for　improvement　in　the　forest　ecological　quality　of　the　coastal　counties　in　Fujian　Province　in　2020.　Addressing　the　existing　issues　calls　for　the　implementation　of　appropriate　forest　management　measures　to　enhance　the　forest　ecological　quality.　©　2024　Beijing　Forestry　University.　All　rights　reserved.