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<p>Land capability assessment is perhaps the most popular form of practical interpretive classification. However, Current evaluations in Ethiopia often lack integrated, spatially explicit methods, leaving a gap in comprehensive land-use planning. This study aimed at generating a spatial description of land capability within the Baro-Akobo basin in order to facilitate relevant planning in the future. This study presents a new approach that combines Multi-Criteria Decision Analysis (MCDA) with GIS to perform a comprehensive assessment of this large, under-researched basin. Land use and land cover (LULC) mapping was carried out using Sentinel-2 satellite images, which is with high spatial resolution (10&#xa0;m) and capable to observe the landscape features within the study area. Supervised classification with maximum likelihood algorithm was performed for land use/land cover classification using the established capabilities available in ERDAS Imagine 15. The various land capability classification parameters like slope, soil depth, soil pH, soil texture, soil loss, and soil drainage were processed and analyzed utilizing ArcGIS 10.8, falling back upon its powerful geospatial analysis tools for this key task. The results show that geospatial techniques are effective in the spatial analysis of multi-layered data and in planning land use based on its potential uses. Coverage of the basin by land capability classes I through V was recorded as follows: 28% (18,659.7km<sup>2</sup>), 56% (36,462.9km<sup>2</sup>), 11% (7439.1km<sup>2</sup>), 3% (1812.2km<sup>2</sup>), and 2% (1526.1km<sup>2</sup>), respectively. In terms of land capability, the study area land is divided into five classes of land capability, the first four (I –IV) of which are suitable for crop production under varying restrictions and conservation needs, while Class V is best reserved for non-arable uses such as pasture, wildlife, and recreation because of severe limitations. It was noted that the application of conservation techniques is necessary for land capability classes IV and V. Therefore aligning future land use with the land’s inherent capability, as outlined in this study, is not just a recommendation but a crucial prerequisite for sustainable agricultural productivity and long-term environmental conservation in the Baro Akobo basin.</p>

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Geospatial analysis for land capability assessment and sustainable land use planning in Baro Akobo Basin, South-west Ethiopia

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月8日

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  • Indale Niguse Dejene,
  • Santhi Swarup Manugula,
  • Soreti Fufa Eticha,
  • Fayera Gizawu Garbaba,
  • Kanenus Fufa Dararo,
  • Soressa Gemachu Terfa,
  • Mitiku Badasa Moisa

摘要

Land capability assessment is perhaps the most popular form of practical interpretive classification. However, Current evaluations in Ethiopia often lack integrated, spatially explicit methods, leaving a gap in comprehensive land-use planning. This study aimed at generating a spatial description of land capability within the Baro-Akobo basin in order to facilitate relevant planning in the future. This study presents a new approach that combines Multi-Criteria Decision Analysis (MCDA) with GIS to perform a comprehensive assessment of this large, under-researched basin. Land use and land cover (LULC) mapping was carried out using Sentinel-2 satellite images, which is with high spatial resolution (10 m) and capable to observe the landscape features within the study area. Supervised classification with maximum likelihood algorithm was performed for land use/land cover classification using the established capabilities available in ERDAS Imagine 15. The various land capability classification parameters like slope, soil depth, soil pH, soil texture, soil loss, and soil drainage were processed and analyzed utilizing ArcGIS 10.8, falling back upon its powerful geospatial analysis tools for this key task. The results show that geospatial techniques are effective in the spatial analysis of multi-layered data and in planning land use based on its potential uses. Coverage of the basin by land capability classes I through V was recorded as follows: 28% (18,659.7km2), 56% (36,462.9km2), 11% (7439.1km2), 3% (1812.2km2), and 2% (1526.1km2), respectively. In terms of land capability, the study area land is divided into five classes of land capability, the first four (I –IV) of which are suitable for crop production under varying restrictions and conservation needs, while Class V is best reserved for non-arable uses such as pasture, wildlife, and recreation because of severe limitations. It was noted that the application of conservation techniques is necessary for land capability classes IV and V. Therefore aligning future land use with the land’s inherent capability, as outlined in this study, is not just a recommendation but a crucial prerequisite for sustainable agricultural productivity and long-term environmental conservation in the Baro Akobo basin.