Land use and land cover change and its projected transition analysis using an ArcGIS machine learning algorithm in the Shewa Robit Watershed, Middle Awash River Basin, Ethiopia

  • In Ethiopia, the conversion of natural vegetation cover into agricultural land is the main factor driving changes in land use and land cover (LULC). Using Landsat imagery for both historical and present-day LULC mapping and a machine learning-driven CA-Markov model was used to predict future transitions, this study examines changes in LULC in the Shewa Robit watershed. In addition, ArcGIS 10.5 was used for supervised image classification, and IDRISI Selva version 17 was used for the land change modeling and test transition probability. Significant land conversion trends, primarily a 46.46 km² increase in cultivated land at the expense of grazing and forest areas, were found in the LULC investigation undertaken between 2003 and 2023. These increases were brought about by rapid urbanization and agricultural expansion. According to the LULC projected, between 2023 and 2098, there will be a 91.4% increase in settlements and a 68.3% increase in cultivated land. This change in LULCIn Ethiopia, the conversion of natural vegetation cover into agricultural land is the main factor driving changes in land use and land cover (LULC). Using Landsat imagery for both historical and present-day LULC mapping and a machine learning-driven CA-Markov model was used to predict future transitions, this study examines changes in LULC in the Shewa Robit watershed. In addition, ArcGIS 10.5 was used for supervised image classification, and IDRISI Selva version 17 was used for the land change modeling and test transition probability. Significant land conversion trends, primarily a 46.46 km² increase in cultivated land at the expense of grazing and forest areas, were found in the LULC investigation undertaken between 2003 and 2023. These increases were brought about by rapid urbanization and agricultural expansion. According to the LULC projected, between 2023 and 2098, there will be a 91.4% increase in settlements and a 68.3% increase in cultivated land. This change in LULC highlights the threats to biodiversity, water resources, and soil quality that come with the fast growth of agriculture and urbanization. This study emphasizes the need for sustainable land management practices to prevent further environmental harm, preserve ecosystem services, and ensure the watershed's resilience to the projected changes in land use.show moreshow less

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Metadaten
Author:Ayele D. Woldemariam, Markos Mathewos
URN:urn:nbn:de:bvb:384-opus4-1306779
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/130677
ISSN:2959-3921OPAC
Parent Title (English):Ethiopian Journal of Engineering and Technology (EJET)
Publisher:Hawassa University
Place of publication:Hawassa
Type:Article
Language:English
Date of Publication (online):2026/05/27
Year of first Publication:2025
Publishing Institution:Universität Augsburg
Release Date:2026/06/08
Volume:4
First Page:162
Last Page:180
DOI:https://doi.org/10.82127/ejet.v4i.1610
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Geographie
Fakultät für Angewandte Informatik / Institut für Geographie / Professur für Wasser- und Bodenressourcenforschung
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung