Mapping and monitoring land use and land cover changes in Mellegue watershed using remote sensing and GIS

The supervised classification maximum likelihood was applied in this study. It aimed to visualize the land use/land cover changes in the Mellegue catchment, using multispectral satellite data of Landsat imagery for a specific study period from 2002 to 2018. This classification was built based on ground truth data collected for nine classes. These data were entered subsequently in the ENVI software to operate the classification process. Then, the results were refined using the GIS tool, by ArcGIS software, which required a visual interpretation and expert knowledge of the area. According to the cross-tabulation matrix and classification results, it was found that major changes have occurred during the study period causing serious degradation of the environment and ecosystem.