ISRO to develop New Algorithms on Farm Fire Data

ISRO is developing new algorithms to analyze farm fire data from various sources, including foreign geostationary satellites and the Indian INSAT-3DR satellite

ISRO to develop New Algorithms on Farm Fire Data

Recently the Union Minister for S&T launched India’s first AI Data Bank during the 7th Edition of the ASSOCHAM AI Leadership Meet.
Its aim is to provide high-quality, diverse datasets to researchers, startups and developers for creating scalable AI solutions.

ISRO is developing new algorithms to analyze farm fire data from various sources, including foreign geostationary satellites and the Indian INSAT-3DR satellite. These algorithms aim to improve the accuracy and reliability of farm fire detection and monitoring.

Key Points:

Data Source: ISRO is working with data from both foreign geostationary satellites and the domestic INSAT-3DR satellite.
Algorithm Development: The space agency is developing in-house algorithms to analyze this data.
Goal: The aim is to accurately detect and monitor farm fires, especially in regions like Punjab and Haryana.
Challenges: Current geostationary platforms offer sub-optimal fire detection capabilities, and the INSAT-3DR has limitations due to its coarser resolution.
Future Outlook: ISRO is committed to continuous improvement, including algorithm refinement and potential upgrades to future satellites like INSAT-3DS.