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Conflict, war, and forced displacement affect millions of people each year and have immediate and long-term consequences for human health and development, in addition to causing the degradation of natural and managed landscapes. Analysis with NASA satellite imagery can help target humanitarian response and relief by i) offering a timely understanding of region-specific environmental conditions and change, and ii) capturing contextual information over broad geographic regions and time spans.
This 4-part introductory training will focus on using NASA data products for monitoring human settlements and landscapes during armed conflict and forced displacement. This ARSET training is the first dedicated to humanitarian applications of NASA satellite imagery with topics including monitoring urban damage, mapping refugee settlement dynamics, and gauging climate hazards at refugee settlements. For each topic, we will discuss relevant satellite sensors and methodologies, data access and analysis using Google Earth Engine, as well as assumptions, opportunities, and limitations of various remote sensing-based approaches in humanitarian applications.
This training supports quantitative and visual understanding of short- and long-term conflict effects that are evident in satellite imagery, complements analysis of georeferenced humanitarian data, and builds on previous ARSET trainings associated with cropland monitoring, human settlement detection, disaster risk assessment, nighttime lights, and Google Earth Engine.