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All Journal Journal of Geography, Regional Planning and Development
Darwish, Manal Saahi Mohammed
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Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

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THE IMPACT OF DESERTIFICATION ON AGRICULTURAL LANDS IN LAYLAN SUB-DISTRICT THROUGH THE APPLICATION OF ARTIFICIAL INTELLIGENCE Darwish, Manal Saahi Mohammed
Journal of Geography, Regional Planning and Development Vol. 2 No. 3 (2025): Journal of Geography, Regional Planning and Development
Publisher : ANTIS PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jgrpd.v2i3.1452

Abstract

Objective: This study aims to assess land degradation and desertification risk in Lailan Subdistrict by integrating remote sensing indices to identify environmental stressors affecting agricultural productivity. Method: Landsat OLI 8 satellite imagery and ArcGIS 10.4.1 were employed to analyze three key indicators: the Desertification Risk Index (DRI), Normalized Multi-band Drought Index (NMDI), and Soil Salinity Index (SI). Results: The total study area of 694.84 km² was classified into five desertification risk levels, ranging from low (6.51%) to extreme (10.15%). Moderate and severe drought collectively affected over 57% of the area, with extreme drought alone covering 39.14%. Soil salinity varied widely, with moderate (31.20%) and high salinity (27.45%) dominating the landscape, while very high salinity (>30 dS/m) affected 8.65% of the area. Overall, more than 70% of the subdistrict was exposed to critical risks driven by combined drought stress, salinization, and unsustainable land use. Novelty: By integrating multiple remote sensing indices, this research provides a comprehensive spatial assessment of desertification risks, offering practical insights for sustainable land management strategies, including improved irrigation, salt-tolerant crops, vegetation restoration, and long-term monitoring.
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