A. Issue in Brief
- Indian Space Research Organisation (ISRO) has developed a modified satellite-based fire-detection algorithm to better monitor farm fires during rabi harvest season.
- The improved model addresses under-detection of brief, small-scale stubble-burning events, especially during daytime, previously missed by standard satellite systems.
- Initiative aligns with anti-air pollution efforts in Punjab, Haryana and NCR, where crop residue burning significantly worsens seasonal air quality.
- Testing during rabi wheat harvest (April–May 2026) aims to enhance accuracy before the more severe kharif burning season (Oct–Nov).
Relevance
- GS 3 (Environment / S&T / Agriculture):
Satellite-based monitoring; 28 million tonnes stubble generation; up to 40% Delhi pollution contribution; emission inventory accuracy; crop diversification challenge.
B. Static Background
- Stubble burning generates an estimated 28 million tonnes of paddy stubble annually in Punjab, Haryana and western UP.
- Studies attribute up to 40% of Delhi’s peak winter pollution load to farm fires during severe episodes.
- Monitoring relies on NOAA’s VIIRS and NASA’s Suomi-NPP satellites, using sun-synchronous polar orbits providing limited daily overpasses.
- Peak burning typically occurs between 1:30 pm–4 pm, when multiple short-duration fires may evade capture due to satellite revisit constraints.
C. Key Dimensions
1. Environmental Dimension
- Crop residue burning releases PM2.5, NOx, CO, and black carbon, aggravating winter smog in Indo-Gangetic Plain.
- North-westerly winds transport pollutants toward Delhi-NCR during post-monsoon months, intensifying transboundary pollution effects.
- Undetected small fires cumulatively contribute substantial emissions, distorting pollution source apportionment models.
- Improved algorithm aims to capture short-lived, low-intensity fires, ensuring comprehensive emission inventory estimation.
2. Technological Dimension
- Modified algorithm refines scale and timing sensitivity, enabling detection of rapid, fragmented burn events.
- Uses advanced processing of satellite imagery metadata and thermal anomalies, reducing false negatives.
- Enhanced monitoring integrates with Commission for Air Quality Management (CAQM) enforcement mechanisms.
- Demonstrates use of space-based data analytics for environmental governance innovation.
3. Governance / Administrative Dimension
- Commission for Air Quality Management (CAQM) coordinates with Punjab, Haryana and Delhi governments for enforcement.
- Deputy commissioners and district collectors conduct ground-truthing exercises to verify satellite-detected fire events.
- CAQM has directed State-specific Action Plans targeting elimination of wheat stubble burning by 2026.
- Circulars issued to nodal officers cluster farmers for monitoring and compliance tracking.
4. Economic Dimension
- Farmers resort to burning due to narrow 20–30 day window between paddy harvest and wheat sowing.
- In-situ Crop Residue Management (CRM) machinery subsidies exist, but high operational costs and logistical constraints persist.
- Burning remains cheapest and fastest disposal method, reflecting structural mechanisation and labour shortages.
- Accurate detection may influence incentive disbursal and targeted financial support for alternative residue management.
5. Legal / Policy Dimension
- Air pollution regulation anchored in Air (Prevention and Control of Pollution) Act, 1981 and Environment Protection Act, 1986.
- CAQM established via ordinance (2020) and subsequent Act (2021) to enforce compliance across NCR region.
- Improved detection strengthens legal enforceability by reducing data ambiguity in prosecution cases.
- Raises balance between punitive action and livelihood-sensitive environmental governance.
D. Critical Analysis
- Satellite-based systems historically undercounted small, short-duration fires, leading to measurement bias in pollution attribution debates.
- Excessive reliance on punitive measures without systemic agricultural reforms may generate farmer resistance.
- Technology improves detection, but root causes lie in cropping pattern distortion driven by MSP regime favouring paddy.
- Without scalable ex-situ biomass markets (bio-CNG, pelletisation), residue management remains economically unattractive.
E. Way Forward
- Integrate satellite analytics with real-time ground IoT sensors for hybrid monitoring architecture.
- Reform MSP and crop diversification policies, promoting less water-intensive alternatives like maize and pulses.
- Expand CRM subsidy coverage and ensure last-mile machinery access through cooperative models.
- Promote biomass-to-energy plants under SATAT and National Bio-Energy Mission to create market value for residue.
- Combine enforcement with behavioural nudges and direct benefit transfers for compliance.
F. Exam Orientation
Prelims Pointers
- Estimated 28 million tonnes of paddy stubble generated annually in affected states.
- Farm fires contribute up to 40% of Delhi’s pollution during peak episodes.
- Monitoring uses VIIRS sensor on Suomi-NPP satellites.
- CAQM established in 2021 for NCR air quality management.
Practice Question (15 Marks)
- “Technological solutions alone cannot resolve the farm fire crisis in North India.”
Discuss with reference to ISRO’s improved fire-detection algorithm and the structural causes of stubble burning.
