Understanding　the　spatial　structure　of　images　and　selecting　optimal　spatial　resolution　has　always　been　an　important　issue　in　the　application　area　of　remote　sensing.　The　prime　objective　of　this　study　was　to　conduct　a　comparative　study　of　the　optimal　spatial　resolutions　for　measurement　of　typical　landscape　of　Mountainous　Area　in　Southeast　China,　detected　with　local　variance,　semivariogram　and　wavelet　analysis.　The　first　principal　component　of　SPOT　image　was　used.　The　results　of　local　variance　demonstrated　that　optimal　spatial　resolution　of　urban,　agricultural　and　forest　landscape　was　around　10-20m,　30-40m　and　50-80m　respectively.　As　derived　from　wavelet　transform,　it　was　40m,　80-160m　and　160m　respectively.　Their　values　indicated　by　semivariogram　through　Exponential　and　spherical　model　should　be　at　least　less　than　160m,　328m　and　309m.　Although　the　values　we　gained　from　variogram　modeling　fall　within　the　bound　of　values　derived　from　wavelet　analysis,　the　values　obtained　from　local　variance　are　relatively　small.　The　values　of　optimal　spatial　resolution　obtained　can　vary　from　the　methods　and　data　source　we　choose　and　also　the　prime　objects　of　interest　in　study　areas.