Machine learning (ML) can improve data applications in disaster risk management, especially when coupled with computer vision and geospatial technologies, by providing more accurate, faster, or lower-cost approaches to assessing risk. At the same time, we urgently need to develop a better understanding of the potential for negative or unintended consequences of their use. The… Read more »
Demystifying Satellite Assets for Post-Disaster Situation Awareness
This is a living document that aims to demystify the numerous satellite assets available to the emergency response community. It is published openly on Google Docs, accepting comments, corrections, and criticisms from interested readers.