Article1: ISRO’s Improved Fire-Detection Algorithm to Monitor Stubble Burning
Why in News: ISRO is set to test an improved satellite algorithm during the rabi harvest to enhance year-round monitoring of stubble burning in north-western India.
Key Details
- The Commission for Air Quality Management (CAQM) has expanded monitoring of farm fires beyond the kharif season.
- ISRO has fine-tuned its satellite-based fire detection algorithm to address under-reporting of farm fires.
- Punjab, Haryana and UP-NCR generate about 28 million tonnes of paddy stubble annually.
- Farm fires can contribute up to 40% of Delhi’s winter PM2.5 pollution load during peak periods.
Scale and Nature of the Stubble Burning Problem
- Massive Crop Residue Generation: Punjab, Haryana and western Uttar Pradesh together generate nearly 28 million tonnes of paddy stubble within a 30-day window, creating disposal pressure on farmers.
- Narrow Sowing Window: Farmers have limited time between paddy harvesting and wheat sowing, often 10–20 days, making burning the quickest field-clearing method.
- Cost and Accessibility Constraints: Alternatives such as Happy Seeder or Super SMS involve high operational costs and limited machine availability, especially for small and marginal farmers.
- Persistence Despite Regulations: Despite bans and penalties, stubble burning continues annually, indicating structural rather than purely behavioural causes.
Environmental and Health Impacts
- Major Source of PM2.5: Stubble burning releases fine particulate matter and toxic gases; during peak episodes it may contribute up to 40% of Delhi’s pollution load.
- Seasonal Pollution Spike: Post-monsoon temperature inversion and calm winds trap pollutants, leading to severe air quality deterioration in October–November.
- Long-Range Pollutant Transport: North-westerly winds carry smoke from Punjab and Haryana into Delhi-NCR, demonstrating the trans-boundary nature of the problem.
- Public Health Burden: Elevated PM2.5 levels are linked to respiratory illnesses, cardiovascular diseases, and reduced life expectancy in north India.
Limitations of Existing Monitoring Mechanisms
- Satellite Detection Gaps: Ground teams reported mismatches between satellite fire counts and actual burnt areas, indicating under-detection and over-estimation issues.
- Fixed Observation Windows: Current monitoring relies on satellites like Terra, Aqua (MODIS) and Suomi-NPP (VIIRS) that pass at fixed times, missing fires lit later in the day.
- Shift in Burning Patterns: Studies show peak burning time shifted from 1:30 PM (2020) to around 5 PM (2024), reducing detection accuracy.
- Policy Dependence on Incomplete Data: Enforcement and compensation decisions based on imperfect data risk policy misalignment and credibility issues.
ISRO’s Improved Algorithm: Key Features
- Fine-Tuned Detection Model: ISRO has modified its in-house algorithm to better distinguish between active fires and residual burnt patches.
- Pilot during Rabi Harvest: The new system will be tested during the wheat harvesting season (March–May) to assess year-round monitoring capability.
- Integration with Ground Verification: CAQM has directed district-level teams to conduct farm mapping and field validation to complement satellite data.
- Towards Continuous Surveillance: The move reflects a shift from seasonal to all-year monitoring of farm fires, recognising the persistent pollution baseline.
Institutional and Policy Response
- Role of CAQM: The statutory body has mandated state-specific action plans and stricter enforcement for wheat residue burning in 2026.
- Crop Residue Management (CRM) Scheme: The Union government provides subsidies for machines like Happy Seeder, Super SMS, and mulchers for in-situ management.
- Promotion of Ex-situ Uses: Policies encourage use of straw for biomass energy, fodder, packaging material, and bio-CNG production.
- Supreme Court Oversight: The issue has been repeatedly monitored by the Court, pushing agencies toward technology-driven accountability.
Structural Challenges in Eliminating Stubble Burning
- Economic Rationality of Farmers: Burning remains the cheapest and fastest method compared to mechanised alternatives.
- Fragmented Landholdings: Small farm sizes in north India reduce the economic viability of expensive CRM machinery.
- Market Linkage Gaps: Ex-situ solutions suffer from weak supply chains and limited assured procurement of crop residue.
- Behavioural and Enforcement Limits: Penal approaches alone have shown limited success without viable economic alternatives.
Conclusion
A technology upgrade in fire detection is a necessary but insufficient step. India needs a multi-pronged strategy combining accurate satellite monitoring, affordable residue management solutions, market creation for biomass, and cooperative federal action. Long-term success will depend on aligning environmental goals with farmers’ economic incentives, thereby ensuring sustainable agriculture and cleaner air for the Indo-Gangetic plains.
EXPECTED QUESTIONS FOR UPSC CSE
Prelims MCQ
Q. Consider the following statements regarding stubble burning monitoring:
- MODIS and VIIRS satellites are used for farm fire detection.
- Stubble burning contributes significantly to winter PM2.5 levels in Delhi-NCR.
- Crop Residue Management scheme promotes only ex-situ solutions.
Which of the statements given above is/are correct?
(a) 1 and 2 only
(b) 2 and 3 only
(c) 1 only
(d) 1, 2 and 3
Answer: (a)
Descriptive Question
Q. Stubble burning is both an environmental and an agrarian policy challenge. Discuss the role of technology and policy interventions in addressing it. (150 Words, 10 Marks)