Identification　of　clouds　in　optical　images　is　often　a　necessary　step　toward　their　use.　However,　aimed　at　the　cloud　detection　methods　used　on　GF-1　is　relatively　less.　In　order　to　meet　the　requirement　of　accurate　cloud　detection　in　GF-1　WFV　imagery,　a　new　method　based　on　the　combination　of　band　operation　and　spatial　texture　feature(BOTF)　is　proposed　in　this　paper.　First　of　all,　the　BOTF　algorithm　minimize　interference　of　highlight　surface　and　cloud　regions　by　the　band　operation,　and　then　distinguish　between　cloud　area　and　non-cloud　area　with　spatial　texture　feature.　Finally,　the　cloud　mask　can　be　acquired　by　threshold　segmentation　method.　The　method　was　validated　using　scenes.　The　results　indicate　that　the　BOTF　performs　well　under　normal　conditions,　and　the　average　overall　accuracy　of　BOTF　cloud　detection　is　better　than　90%.　The　proposed　method　can　meet　the　needs　of　routine　work.　©　Authors　2017.　CC　BY　4.0　License.