Crop Residue Burning in North‐Western India: Emission Estimation and Uncertainty Quantification

Abstract Air quality in India faces significant risk from agricultural residue burning, especially in Punjab and Haryana, which are pivotal to the world's second‐largest agrarian economy. This study quantifies emissions from post‐monsoon biomass burning (10 October–30 November 2022) in these states using VIIRS fire detection data and Sentinel‐2‐derived burnt areas. Ground validation via district‐level surveys aligns with the findings of our study. Results show 51% of the total crop area was burned (14,700 km 2 in Punjab; 8,300 km 2 in Haryana), leading to substantial emissions of PM 2.5 (54.28 Gg; 7.94 Gg), CH 4 (25.63 Gg; 3.75 Gg), CO 2 (1,100.3 Gg; 195.7 Gg), NH 3 (0.83 Gg; 0.15 Gg), SO 2 (0.68 Gg; 0.12 Gg), and CO (62.1 Gg; 11.04 Gg). Emissions in Punjab are about 6.5 times higher than in Haryana attributable to greater burnt area (∼14,700 km 2 ), higher crop yield, and elevated residue‐to‐crop ratios. Compared to VIIRS, Sentinel‐2 data provides approximately 3.6 times higher emission estimates, reflecting improved burnt area detection. District‐level emission variations underscore the influence of diverse farming practices, weather, and residue management. An uncertainty analysis, derived from multiple emissions estimates and methodologies, highlights regional disparities: SO 2 exhibits the highest uncertainty in both states with PM 2.5 and CO, respectively, showing the least. Understanding these emissions and uncertainties is vital for forecasting air pollution in downwind cities such as New Delhi and for formulating targeted mitigation strategies.