Abstract
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. Here we report the investigation of environmental conditions pre-, during, and post-conflict in the conflict zone using satellite data. We implemented and experienced the Google Earth Engine (GEE) cloud-based computing platform with a widely applied algorithm, the Random Forest (RF) classifier. We found striking near-complete demolition of inhabited regions, dramatic and highly significant increase in burning areas, and substantial deforestation. We discuss the reasons behind such findings from the Rakhine case and debate some general conservation lessons applicable to other countries undergoing post-conflict transitions.
Satellite Analysis of the Environmental Impacts of Armed-Conflict in Rakhine, Myanmar
