It is crucially important to be aware of quality of trend of temporal and spatial changes in land uses and vegetation for codification of environmental planning, spatial planning, and sustainable development so that today production and use of updated maps of land uses and vegetation is deemed as one of the major factors in achievement of regional planning. The extracted data from Landsat satellite-8 between years of 1977, 1987, 2001, and 2004 were utilized in this study to monitor temporal and spatial changes in land uses and vegetation of Qeshm Isle in Iran. In order to analyze these changes, satellite images were processed by means of ENVI software and classified according to numerical values of several indices (NDVI, ARVI, RVI, SAVI, EVI, WAVI, and NDAVI) into classes of forest lands, non- forest marshy zone, tidal areas, sea water, agriculture and vegetation, urban and arid zones. The results indicated that maximum likelihood algorithm (1987 and 2014) and Support Vector Machine (SVM) algorithm (1977 and 2002) have presented the best classification. Similarly, quantitative changes in surface area of mangrove forests have been extensive for the studied zone during period of investigation in such a way that surface area of mangrove forests was increased 31km2 between years 1977 and 1987 and up to 4.5km2 during years of 1987 - 2001 and it has been also reduced up to 30.63km2 in years (2001-2014). With respect to the given findings, it was identified that using time- series of satellite images might be followed by useful results in planning

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