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Poverty maps derived from satellite images helped target the most vulnerable households in pandemic-affected areas in the Philippines.
Machine learning and satellite imagery can provide data needed by governments for effective property tax management more quickly and efficiently.
Increased use of geospatial modelling in integrated energy planning highlights gaps in data.
A study examines the feasibility of applying computer vision techniques to satellite data of the Philippines and Thailand to produce poverty maps.