What is it about?
The article explores how conflict-induced displacement impact land use and land cover, using Sentinel-2 satellite images, the study further analyses changes from 2016 to 2022, employing differents machine learning classifiers like Random Forest (RF), Support Vector Machine (SVM), and K-Nearest Neighbors (KNN) for image classification.
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Why is it important?
For the purpose of developing policies and restoration plans, it is essential to comprehend the environmental effects of internal displacement. The study reveals notable alterations in land usage that can provide insights for sustainable development and efforts to mitigate conflicts.
Perspectives
The study provides a strong methodology for environmental monitoring by combining sophisticated classification algorithms with high-resolution satellite data. It emphasizes the necessity of ongoing monitoring to address the dynamic character of changes in land cover brought about by human activity.
Mr Abdalrahman Ahmed
Sopron University
Read the Original
This page is a summary of: Assessment of the environmental impacts of conflict-driven Internally Displaced Persons: A sentinel-2 satellite based analysis of land use/cover changes in the Kas locality, Darfur, Sudan, PLoS ONE, May 2024, PLOS,
DOI: 10.1371/journal.pone.0304034.
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