Land　surface　temperature　(LST)　is　a　key　parameter　of　land　surface　physical　processes　on　global　and　regional　scales,　linking　the　heat　fluxes　and　interactions　between　the　ground　and　atmosphere.　Based　on　MODIS　8-day　LST　products　(MOD11A2)　from　the　splitwindow　algorithms,　we　constructed　and　obtained　the　monthly　and　annual　LST　dataset　of　Fujian　Province　from　2000　to　2015.　Then,　we　analyzed　the　monthly　and　yearly　time　series　LST　data　and　further　investigated　the　LST　distribution　and　its　evolution　features.　The　average　LST　of　Fujian　Province　reached　the　highest　in　July,　while　the　lowest　in　January.　The　monthly　and　annual　LST　time　series　present　a　significantly　periodic　features　(annual　and　interannual)　from　2000　to　2015.　The　spatial　distribution　showed　that　the　LST　in　North　and　West　was　lower　than　South　and　East　in　Fujian　Province.　With　the　rapid　development　and　urbanization　of　the　coastal　area　in　Fujian　Province,　the　LST　in　coastal　urban　region　was　significantly　higher　than　that　in　mountainous　rural　region.　The　LST　distributions　might　affected　by　the　climate,　topography　and　land　cover　types.　The　spatio-temporal　distribution　characteristics　of　LST　could　provide　good　references　for　the　agricultural　layout　and　environment　monitoring　in　Fujian　Province.　©　Authors　2017.　CC　BY　4.0　License.