A　growing　number　of　studies　have　examined　the　impact　of　urban　morphological　factors　on　surface　urban　heat　islands　(SUHI).　However,　less　attention　is　paid　to　investigating　the　comprehensive　effect　of　urban　morphological　factors　on　land　surface　temperature　(LST)　across　seasons,　particularly　at　the　block　scale.　In　this　study,　we　investigated　385　blocks　in　the　central　part　of　Fuzhou　city,　China.　Twelve　urban　morphological　factors　in　four　categories　were　calculated　from　multi-source　data,　and　the　random　forest　regression　(RFR)　method　was　employed　to　calculate　the　relative　importance　of　urban　morphological　factors　from　a　block　perspective.　Our　results　confirmed　that　the　blocks　with　high-density　low-rise　buildings　had　the　highest　LST　and　distribution　index.　The　correlations　between　LST　and　urban　morphological　factors　varied　seasonally.　The　normalized　difference　vegetation　index　yielded　a　positive　correlation　with　LST　in　winter.　The　RFR　model　revealed　that　twelve　urban　morphological　factors　could　explain　52-57.8%　of　LST　variation.　More　importantly,　the　building　form　metrics　and　surface　biophysical　parameters　are　the　two　essential　categories　affecting　LST,　contributing　＞70%　of　the　total　relative　contribution　to　LST.　These　findings　provide　useful　insights　to　ameliorate　the　SUHI　effect　and　have　substantial　implications　for　urban　ecological　sustainability　from　a　block　perspective.