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The detection and quantification of conflict through remote sensingmodalities represents a challenging but crucial aspect of human rightsmonitoring. In this work we demonstrate how utilizing multi-modal data sourcescan help build a comprehensive picture of conflict and human displacement,using the Rohingya conflict in the state of Rakhine, Myanmar as a case study.We show that time series analysis of fire detections from the ModerateResolution Imaging Spectroradiometer (MODIS) and Visible Infrared ImagingRadiometer Suite (VIIRS) can reveal anomalous spatial and temporaldistributions of fires related to conflict. This work also shows that SyntheticAperture Radar (SAR) backscatter and coherence data can detect the razing andburning of buildings and villages, even in cloudy conditions. These techniquesmay be further developed in the future to enable the monitoring and detectionof signals originating from these types of conflict.

On the Detectability of Conflict: a Remote Sensing Study of the Rohingya Conflict