Categorizing and measurement satellite image processing of fire in the forest greece using remote sensing

in this paper, a polar-orbiting satellite has been used called Sentinel-2A imagery, multispectral high-resolution to cover Athens city, Greece that located at latitude (37° 58′ 46″) N, (23° 42′ 58″) E., the work aims to measurement and study the wildfires natural resourcesbefore and after fire break out that happenedin forests of Athens city in Greece for a year (2007, 2018) and analysis the damage caused by these wildfiresand their impact on environment and soil by Categorize the satellite images for the interested region before and after wildfires for a years (2007, 2018 respectively) and the region covered of every class has been calculated and discuss their techniques and lessen or limit the rapidly spreading wildfires damage. The categorizing utilizing the moments with (K-Means) grouping algorithm in RS (remote sensing). And the categorizing results show five unique classes (water, trees, buildings without tree, buildings with tree, bare lands) where, it can be observed that the area covered by every class before and after wildfires and the changed pixels for all classes. The trial results of categorizing mechanism presents that the perfect performance accuracy with a pretty categorizing and result analysisa bout the harms resulted from the fires in the forest Greece for a years (2007 and 2018).