Topographic Influence on Vegetation Cover in the Akramah Region, Eastern Libya: A GIS and Remote Sensing Approach

This study aims to analyze the impact of topographic features on vegetation cover in the Akramah region of eastern Libya using remote sensing and geographic information system (GIS) technologies. The research utilized satellite imagery from Landsat 8 and a digital elevation model (DEM) to extract key topographic parameters such as elevation, slope, and aspect, which were then compared with the Normalized Difference Vegetation Index (NDVI) to assess correlations. The results revealed a statistically significant relationship between topographic variables and vegetation density. Visual interpretation and field surveys indicated that the majority of the study area suffers from sparse or absent vegetation cover, with a clear association between terrain characteristics and plant distribution. Areas with gentle slopes and north-facing aspects exhibited higher NDVI values due to better moisture retention, whereas elevated zones and south-facing slopes were more susceptible to desertification. Field observations corroborated the remote sensing findings, underscoring the reliability of satellite-derived data. These insights provide valuable guidance for policymakers in combating desertification and promoting sustainable natural resource management.

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Publication Details

Journal
Alqalam Journal of Science
Published
2025-09-20
DOI
https://doi.org/10.69667/ajs.25208
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
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article

Topographic Influence on Vegetation Cover in the Akramah Region, Eastern Libya: A GIS and Remote Sensing Approach

Alqalam Journal of Science
Remote Sensing in Agriculture
article

Topographic Influence on Vegetation Cover in the Akramah Region, Eastern Libya: A GIS and Remote Sensing Approach

article en

Abstract

This study aims to analyze the impact of topographic features on vegetation cover in the Akramah region of eastern Libya using remote sensing and geographic information system (GIS) technologies. The research utilized satellite imagery from Landsat 8 and a digital elevation model (DEM) to extract key topographic parameters such as elevation, slope, and aspect, which were then compared with the Normalized Difference Vegetation Index (NDVI) to assess correlations. The results revealed a statistically significant relationship between topographic variables and vegetation density. Visual interpretation and field surveys indicated that the majority of the study area suffers from sparse or absent vegetation cover, with a clear association between terrain characteristics and plant distribution. Areas with gentle slopes and north-facing aspects exhibited higher NDVI values due to better moisture retention, whereas elevated zones and south-facing slopes were more susceptible to desertification. Field observations corroborated the remote sensing findings, underscoring the reliability of satellite-derived data. These insights provide valuable guidance for policymakers in combating desertification and promoting sustainable natural resource management.

Alqalam Journal of Science
Department of Natural and Environmental Resources (PR)
Openalex Percentile: Top 75%
Remote Sensing in Agriculture
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Topographic Influence on Vegetation Cover in the Akramah Region, Eastern Libya: A GIS and Remote Sensing Approach · Alqalam Journal of Science (2025) | TGRS Research Map | TGRS