Modeling urban heat wave risk with satellite imagery and lidar data

A method for modeling environmental risk with GIS, statistical techniques and open python libraries

Guilherme M. Iablonovski
Towards Data Science
7 min readApr 9, 2022

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Recently the World Resources Insitute office in Brazil tasked me with a consultancy under the Cities4Forests project on modeling the risk for several hazards linked to climate change such as floods, landslides and heat waves at urban scale for the municipality of Campinas, Brazil's most populous city outside of a metropolitan region, with just over 1,2M…

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Geospatial Data Scientist and Developer. GIS , sustainable urban planning, environment, data science and software development. linkedin.com/in/guilhermeiablo