Google Maps is introducing three innovative tools that leverage artificial intelligence, machine learning, environmental data, and aerial imagery to provide valuable insights into rooftop solar potential, air quality, and pollen levels. Building on its 2015 Project Sunroof, Google has launched a Solar API that assesses solar potential for over 320 million buildings across 40 countries. By analyzing roof geometry, shading, weather patterns, and more, it aims to facilitate quicker and easier solar panel installations while showcasing potential energy savings. Google's Air Quality API offers detailed air quality information, drawing from various data sources to provide location-specific air quality indexes, pollutant details, and hourly histories to help users make informed health and travel decisions. Additionally, the Pollen API uses diverse data to determine pollen levels and risks, aiding millions globally who suffer from allergies. These tools not only empower developers and businesses to plan sustainable solutions but also enable users to reduce their environmental footprint and make informed choices, contributing to environmental progress and addressing climate change challenges.
https://mashable.com/article/google-maps-solar-air-quality-pollen-api
