GIS and remote sensing Based Analysis of Land use and Land cover Change in the Upper Anger watershed, Western Ethiopia

Abstract

ABSTRACTAnthropogenic land use and land cover (LULC) change was the most serious problem in worldwide. This study attempted to investigate spatiotemporal LULC changes in the Upper Anger watershed, Western Ethiopia. In the present study, Landsat TM of 1990, Landsat ETM+ of 2003, and Landsat OLI/TIRS of 2020 were used to analyze the LULC change and Normalized Difference Vegetation Index (NDVI). The supervised classification with maximum likelihood algorithm was employed for classification of the LULC. The result shows that the agricultural land was increased by 707.4 km2, whereas forest land was decreased by 179.9 km2. Consequently, agricultural land and bare land were increased with rate of 23.6 km2/year and 0.5 km2/year, while grassland and forest cover decreased by rate of 18.2 km2/year and 6 km2/year, respectively, from 1990 to 2020. The maximum NDVI value was declined with 0.19 from 1990 to 2020 due to expansion of agricultural land, bare land, and settlement in the study area. About 530 km2 of grassland and 241.5 km2 of forest cover were converted into other land cover classes between 1990 and 2020. Thus, appropriate land use planning and environmental education should be promoted to minimize the rapid loss of forests and grasslands in the study area.

Keywords

• Landsat images
• supervised classification
• Maximum likelihood algorithm
• NDVI
• upper anger watershed