Land　surface　temperature　(LST)　is　an　essential　parameter　in　the　physics　of　land　surface　processes.　The　spatiotemporal　variations　of　LST　on　the　Fujian　province　were　studied　using　AQUA　Moderate　Resolution　Imaging　Spectroradiometer　LST　data.　Considering　the　data　gaps　in　remotely　sensed　LST　products　caused　by　cloud　contamination,　the　Savitzky-Golay　(S-G)　filter　method　was　used　to　eliminate　the　influence　of　cloud　cover　and　to　describe　the　periodical　signals　of　LST.　Observed　air　temperature　data　from　27　weather　stations　were　employed　to　evaluate　the　fitting　performance　of　the　S-G　filter　method.　Results　indicate　that　S-G　can　effectively　fit　the　LST　time　series　and　remove　the　influence　of　cloud　cover.　Based　on　the　S-G-derived　result,　Spatial　and　temporal　Variations　of　LST　in　Fujian　province　from　2001　to　2015　are　analysed　through　slope　analysis.　The　results　show　that:　1)　the　spatial　distribution　of　annual　mean　LST　generally　exhibits　consistency　with　altitude　in　the　study　area　and　the　average　of　LST　was　much　higher　in　the　east　than　in　the　west.　2)　The　annual　mean　temperature　of　LST　declines　slightly　among　15　years　in　Fujian.　3)　Slope　analysis　reflects　the　spatial　distribution　characteristics　of　LST　changing　trend　in　Fujian.　Improvement　areas　of　LST　are　mainly　concentrated　in　the　urban　areas　of　Fujian,　especially　in　the　eastern　urban　areas.　Apparent　descent　areas　are　mainly　distributed　in　the　area　of　Zhangzhou　and　eastern　mountain　area.　©　Authors　2018.　CC　BY　4.0　License.