Predicting Urban Heat Islands in Calgary

Explore a 40-minute conference talk from EuroPython 2022 on predicting urban heat islands in Calgary. Learn how to calculate land surface temperature from satellite imagery and combine it with urban morphological factors to forecast temperature trends and mitigate impacts. Discover end-to-end methodology using geospatial Python libraries for spatial regression analysis, including techniques for handling large imagery datasets, spatial aggregation, feature engineering, and comparing regression methods. Gain insights into creating geo-visualization portals, converting GeoJSON outputs to vector tiles, and developing intuitive front-end experiences. Understand the importance of analyzing land surface temperature changes for sustainable urban planning and addressing extreme heatwaves.

Predicting urban heat islands in Calgary - presented by Anand S & Sumedh Ghatage