Evaluation of Land use and Land cover change (1986–2019) using Remote Sensing and GIS in Dabus sub-catchment, South-Western Ethiopia
AbstractLand Use Land Cover (LULC) change is a global environmental issue fueled by the rise in human population and increased demand for natural resources. This study describes the LULC change in the Dabus sub-catchment, Southwestern Ethiopia between 1986 to 2019 using remote sensing and GIS. Landsat thematic mapper and operational land imager (OLI) path 171, and row 053 were obtained from the United States Geological Survey (USGS) Landsat library. Essential image pre-processing methods were used to remove the distortions that might have occurred due to sensors. Supervised image classification and maximum likelihood algorithm decision rule were employed to identify the LULC. As a result, seven LULC types (Agricultural land, Built up areas, Forest land, Shrub land, Water body, Grassland and Bare land) were identified. Post- classification change detection technique was used to quantify and analyze the changes for the seven major land use and land cover types. Significant changes were noted during the study period (1986-2019). The results show that, built-up area and agricultural land increased by 16.40% (749.7 km2) and 3.5% (69.8 km2) respectively, while forest land, barren land, water bodies, grassland and shrub land have decreased by 0.4 % (8.5 km2), 20.9% (412.0 km2) and 0.3% (5.6 km2), 3.4% (66.3 km2) and 16.5% (326.8km2) over the last 33 years respectively. It is believed that this type of study will help to contribute towards scientific land use policies and management in the study area.
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