Urban　construction　land　is　categorized　into　different　types　in　the　overall　planning　of　territorial　space.　Research　on　the　relationship　between　spatial　environment　elements　and　Land　Surface　Temperature　(LST)　across　various　land　types　can　provide　a　planning　and　management　basis　for　ecological　city　construction.　This　paper　focuses　on　the　main　urban　area　of　Fuzhou　and　references　the　land　classification　system　for　territorial　spatial　planning　published　by　the　Ministry　of　Natural　Resources　in　November　2023.　Based　on　the　urban　road　network　and　high-resolution　remote　sensing　images,　different　types　of　construction　land　in　Fuzhou,　including　residential　land,　public　management　and　public　service　land,　commercial　service　land,　mixed　commercial　and　residential　land,　industrial　land,　and　green　land　and　open　space　land,　were　identified.　Landsat-8　remote　sensing　data　and　building　vector　data　were　used　to　calculate　LST　during　summer　and　winter,　as　well　as　to　gather　spatial　environment　factor　information　(NDVI,　NDISI,　BCR,　BH,　BSD,　SVF)　for　different　land　types.　Finally,　after　analyzing　the　seasonal　LST　characteristics　and　spatial　environment　factors　of　various　land　types,　spatial　autocorrelation　analysis　and　spatial　autoregression　model　were　used　to　explore　the　spatial　relationship　between　these　factors　and　seasonal　LST.　The　results　show　that:　(1)　In　summer,　the　average　LST　values　for　various　land　types　are　ranked　as　follows:　Industrial　land　(40.38　℃)　＞　Public　administration　and　public　service　land　(38.28　℃)　＞　Commercial　service　land　(38.25　℃)　＞　mixed　commercial　and　residential　land　(37.87　℃)　＞　residential　land　(37.52　℃)　＞　green　land　and　open　space　land　(35.71　℃).　In　winter,　the　ranking　is:　industrial　land　(18.32　℃)　＞　public　administration　and　public　service　land　(17.99　℃)　＞　commercial　service　land　(17.93　℃)　＞　residential　land　(16.92　℃)　＞　mixed　commercial　and　residential　land　(16.15　℃)　＞　green　and　open　space　land　(15.79　℃).　(2)　The　correlation　and　influence　of　spatial　environment　elements　on　seasonal　LST　vary　across　different　urban　construction　land　types.　In　both　summer　and　winter,　BH　and　BSD　are　negatively　correlated　with　urban　land　use　LST,　while　NDISI,　BCR,　and　SVF　show　positive　correlations　with　LST.　However,　NDVI　is　negatively　correlated　with　the　LST　of　residential　land　and　public　administration　and　public　service　land　during　summer,　with　spatial　error　coefficients　of　-3.653　and　-2.496,　respectively,　but　shows　a　positive　correlation　in　winter,　with　spatial　error　coefficients　of　3.767　and　2.507,　respectively.　©　2024　Science　Press.　All　rights　reserved.