ANNOUNCEMENTS
Stubble burning remains a critical environmental and public health challenge in Northern India, contributing significantly to seasonal air pollution and associated health risks. This report explores the integration of remote sensing technologies and ground-based air quality monitoring to detect, analyze, and mitigate the impacts of stubble burning. Leveraging satellite imagery (e.g., MODIS, VIIRS) and air quality datasets (e.g., PM2.5, AQI), we examine spatial-temporal patterns of biomass burning across Punjab, Haryana, and Uttar Pradesh, identifying peak periods and high-risk zones. The study evaluates the correlation between stubble burning events and deteriorating air quality in urban centres such as Delhi, highlighting the health burden through increased respiratory and cardiovascular morbidity. Furthermore, the report assesses current policy measures and proposes a data-driven framework for real-time detection, early warning systems, and targeted intervention strategies. By integrating technological insights with policy recommendations, this report aims to support evidence-based decision-making for sustainable agricultural practices and improved public health outcomes in the region.
