As　a　major　tea-producing　province　in　China,　Fujian　has　a　long　history　of　tea　culture.　According　to　the　National　Bureau　of　Statistics　in　recent　10　years,　the　total　planting　area　of　tea　in　Fujian　ranked　the　fifth　among　all　the　provinces　in　China.　Rapid　and　accurate　acquisition　of　tea　plantation　spatial　distribution　has　important　decision-making　significance　for　agricultural　economic　development　and　ecological　environment　protection　in　Fujian　province.　However,　it　is　difficult　to　obtain　the　spatial　distribution　of　tea　plantation　in　large　areas　accurately　by　traditional　methods.　Based　on　the　GEE　cloud　platform,　we　firstly　obtained　Sentinel-1,　Sentinel-2,　and　terrain　data　covering　the　whole　province,　and　then　extracted　a　total　of　98　features　including　spectral　features,　texture　features,　and　terrain　features.　Secondly,　the　Support　Vector　Machine-　recursive　Feature　Elimination　(SVM_RFE)　was　used　to　select　features.　Four　groups　of　experiments　were　constructed　according　to　different　features　and　optimized　feature　subsets.　Finally,　the　Support　Vector　Machine　classifier　(SVM)　was　used　to　extract　tea　plantation　and　obtain　the　spatial　distribution　map　of　tea　plantation　with　a　resolution　of　10　m　in　Fujian　province　in　2019.　The　results　show　that:　(1)　Spectral　features　play　an　important　role　in　tea　plantation　information　extraction,　followed　by　texture　and　terrain　features.　(2)　It　can　improve　the　extraction　accuracy　by　using　SVM_RFE　to　select　some　features,　that　are　useful　to　tea　plantation　extraction,　from　a　large　number　of　spectral,　textural　and　topographic　features.　The　overall　accuracy　is　94.65%　while　the　kappa　coefficient　is　0.93.　The　producer　accuracy　and　user　accuracy　of　the　tea　plantation　are　91.64%　and　92.91%,　respectively.　(3)　In　2019,　the　tea　plantation　area　in　Fujian　province　was　1913　km2.　Tea　plantations　were　mainly　distributed　in　Anxi　County,　Fuding　City,　Fuan　City,　Wuyishan　City,　and　Shouning　County,　with　a　total　area　of　910　km2,　accounting　for　~48%　of　the　entire　tea　plantation　area　in　Fujian　province.　The　cloud　computing　technology　based　on　GEE　platform　can　overcome　the　problem　of　lacking　computing　power　for　large-scale　tea　plantation　monitoring.　This　research　can　extract　tea　plantation　distribution　in　Fujian　province　accurately,　which　has　reference　value　for　tea　plantation　and　other　crop　extraction　in　hilly　and　mountainous　areas　of　South　China,　and　provides　support　for　the　government　and　related　departments　to　manage　tea　plantation.　©　2021,　Science　Press.　All　right　reserved.