Satellite analysis of the environmental impacts of armed-conflict in Rakhine, Myanmar

The impacts of armed conflict on the environment are extremely complex and difficult to investigate, given the impossibility of accessing the affected area and reliable data limitation. Very-high-resolution satellite imageries and highly reliable machine learning algorithms become very useful in studying direct and indirect impacts of war on the ecosystem, in addition to connected effects on human lives. The Rohingya conflict is described as one of the worst humanitarian crises and human-made disasters of the 21st Century. Quantification of damage due to the conflict and the suitability of human resettlement has been lacking despite the ongoing agreements to repatriate refugees and the importance of ecosystem services for the communities' survival. In this work, the investigation of environmental conditions pre-, during, and post-conflict in the conflict zone was carried out using satellite data. The Google Earth Engine (GEE) cloud-based computing platform with a widely applied algorithm, the Random Forest (RF) classifier was implemented and experienced. Striking near-complete demolition of inhabited regions, dramatic and highly significant increase in burning areas, and substantial deforestation were found. The study discusses the reasons behind such findings from the Rakhine case and debates some general conservation lessons applicable to other countries undergoing post-conflict transitions. (C) 2021 Elsevier B.V. All rights reserved.

Automated summary

The impacts of armed conflict on the environment are complex to investigate, but satellite data and machine learning algorithms have proven useful in studying the direct and indirect effects of war on ecosystems. The Rohingya conflict has been described as one of the worst humanitarian crises and man-made disasters of the 21st Century. Despite ongoing agreements to repatriate refugees, research on damage quantification and suitability of human resettlement is lacking.