Vegetation Cover Degradation in Al-Qarah Bolly Region (1972 – 2023) Using the NDVI Index
DOI:
https://doi.org/10.5281/zenodo.21983843Keywords:
NDVI Vegetation Index, Vegetation Cover, Environmental Changes, Remote Sensing Techniques, Landsat, Satellite Imagery, Geographic Information Systems (GIS).Abstract
This study examines the significant environmental degradation and negative spatial changes in vegetation cover in the Al-Qarah Bolly region from 1972 to 2023. The analysis relies on satellite imagery from the Landsat program, Geographic Information Systems (GIS), and remote sensing techniques. The study utilizes the Normalized Difference Vegetation Index (NDVI) to assess vegetation cover changes over time.
The comparative analysis of Landsat satellite images from 1972 and 2023 reveals a significant reduction in vegetated areas, indicating the worsening effects of desertification and environmental changes. These changes are influenced by both natural and human factors, including urban expansion, climate change, and unsustainable resource use.
The study recommends conducting a comprehensive environmental survey of the region using spectral analysis and continuous monitoring through remote sensing. It also suggests creating dynamic digital maps to track vegetation cover changes over time. Additionally, the study advocates for sustainable environmental strategies to mitigate degradation, such as reforestation programs, rational resource management, and enhancing local community awareness.
References
- أمانة اللجنة العامة للتخطيط، مصلحة المساحة الليبية، (1983)، الخرائط الطبوغرافية لمنطقة الدراسة، لوحة طرابلس، طرابلس.
- الحربي، خالد بن مسلم (2007)، تغير الغطاء النباتي في المناطق الجافة: دراسة تطبيقية على منطقة تبوك باستخدام البيانات الرقمية للماسح الموضوعي المحمول على القمر الصناعي الند سات، المجلة العربية لنظم المعلومات الجغرافية، الجمعية الجغرافية السعودية، مجلد 5، العدد .5
- Rouse, J.W, Haas, R.H., Scheel, J.A., and Deering, D.W. (1974) 'Monitoring Vegetation Systems in the Great Plains with ERTS .
- Jensen, J.R. (2015). Introductory Digital Image Processing: A Remote Sensing Perspective. Pearson, New York.
- Chander, G., B. L. Markham, and D. L. Helder, 2009: Summary of current radiometriccalibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment, 113, 893-903..
- Verhasselt ,Y, (1993). Geography of health some trend and Prespectives, soc,sci , med , 36 (2) .
Downloads
Published
Issue
Section
License
Copyright (c) 2026 jornal of the libyan geographical society
This work is licensed under a Creative Commons Attribution 4.0 International License.
