Geospatial Artificial Intelligence : ISRO
ISRO chair professor at the National Institute of Advanced Studies (NIAS), Bengaluru, informed that NIAS has launched a pilot project involving geospatial artificial intelligence (GeoAI) and random forest technology to monitor and predict the city’s air quality.
- Geospatial Artificial Intelligence is the application of artificial intelligence (AI) fused with geospatial data, science, and technology.
- It accelerates real-world understanding of business opportunities, environmental impacts, and operational risks.
- It is transforming the speed at which we extract meaning from complex datasets, thereby aiding us in addressing the earth’s most pressing challenges.
- With the help of simple smartphone applications, people can give real-time feedback about the conditions in their surroundings, for example, traffic congestion, the details of it, the peak hours, their experience, and their rating: low, moderate, or dense.
- The data is then collated, sorted, and analysed, enhancing its accuracy and precision because thousands of users contribute to the database.
