Fifty cities now feature expanded heat resilience data from Google AI Research. The project uses machine learning to analyze urban temperature patterns and surface materials. This dataset helps city planners identify heat islands with precision. Practitioners can now apply these specific spatial insights to design more effective cooling interventions in dense urban environments.