A community heat-mapping campaign — placement students run vehicle traverses with temperature and humidity sensors, and machine learning produces a high-resolution urban heat surface across two seasons.
About this placement
A community heat-mapping campaign — placement students run vehicle traverses with temperature and humidity sensors, and machine learning produces a high-resolution urban heat surface across two seasons.
Placements are hands-on: participants produce real geospatial data that is published openly to the Resilience Academy Climate Risk Database and reused by cities, universities and communities.
1 year · 20 students placed to date.
Partner with Resilience Academy to map hazards, open geospatial data and build resilience with communities across Tanzania.
