International Journal of Multidisciplinary Comprehensive Research  |  ISSN: 2583-5289  |  Double-Blind Peer Review  |  Open Access  |  CC BY 4.0

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     2026:5/3

International Journal of Multidisciplinary Comprehensive Research

ISSN: (Print) | 2583-5289 (Online) | Impact Factor: | Open Access

Vegetation Cover Classification and Change Detection in Northern Kirkuk Governorate Using Satellite Data and GIS (1993–2023)

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Abstract

The objective of this research is to identify and analyze the changes in vegetation cover, agricultural lands, and barren lands in Northern Kirkuk Governorate over the period from 1993 to 2023. The study seeks to understand the dynamics of these changes and their underlying causes, while also creating detailed maps that visually represent the results. To achieve this, a validated classification methodology, using satellite imagery and Geographic Information Systems (GIS), was used to effectively analyze and classify the land cover and land use in the area. This approach allows for an in-depth assessment of the shifts in land use patterns, providing valuable insights into the environmental and socio-economic factors driving these changes.To achieve this, satellite imagery collected from satellites, such as Landsat 5 and Landsat 7, was utilized using TM, ETM+, and OLI-TIRS sensors. These images are an effective source that saves significant time and effort, as well as providing accurate and reliable results. Six land cover and land use patterns were identified in the region. Agricultural land, natural vegetation, water cover, and built-up land witnessed significant increases in 2023, reaching 23.37%, 21.15%, 0.32%, and 4.62%, respectively. In contrast, rock deposits and barren lands covered vast areas in 1993, representing 58.12%, but experienced a significant decline in 2023, falling to 27.23%. This change was the result of natural and human factors that positively impacted the region. These findings constitute a critical information database for monitoring land cover changes in the region, facilitating the tracking of these changes, analyzing their causes, and predicting their future developments. These results will help develop strategic plans to address future challenges related to land and natural resource management in northern Kirkuk Governorate.

How to Cite This Article

Sundas Jumaa (2026). Vegetation Cover Classification and Change Detection in Northern Kirkuk Governorate Using Satellite Data and GIS (1993–2023) . International Journal of Multidisciplinary Comprehensive Research (IJMCR), 5(1), 11-18. DOI: https://doi.org/10.54660/IJMCR.2026.5.1.11-18

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