Land Cover Change Detection in Iraq Using SVM Classification: A Remote Sensing Approach

Land Cover Change Detection in Iraq Using SVM Classification: A Remote Sensing Approach

Land Cover and Land Use studies play an important role in regional socioeconomic development and natural resource management. They support sustainable development by tracking changes in vegetation, freshwater quantity and quality, land resources, and coastal areas. Iraq's Land Use and Land Cove...

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Bibliographic Details
Main Authors: ‪Rasha Abbas Ali, Mahdi Nasif Jasim
Format: Article
Language:Arabic
Published: University of Information Technology and Communications 2025-06-01
Series:Iraqi Journal for Computers and Informatics
Subjects:
remote sensing; lulc classification iraq environment; lulc machine learning; geospatial analysis svm classifier.
Online Access:https://ijci.uoitc.edu.iq/index.php/ijci/article/view/567
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