OpenStreetMap (OSM) is a collaborative project to create a free editable map of the world. OSM is increasingly being used for disaster response and recovery management. While large portions of the World have been mapped, many areas- especially developing countries and cities- remain un-mapped. We present a methodology to predict OSM coverage by means of ML approaches and Remote Sensing observations in the case study of Haiti.

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