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Geospatial Analysis of Crop Residue Burn Areas and Their Dates for Emission Mitigation Strategies

  • Pranay Panjala
  • , Murali Krishna Gumma
  • , Shashi Mesapam
  • , Anoop Kumar Shukla*
  • , Gloria Pignatta*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Mitigating the environmental impact of agricultural practices, particularly intensive rice farming, is critical in the face of climate change. This study focuses on mapping rice residue burn areas and their dates while estimating the greenhouse gas (GHG) emissions associated with residue burning and rice cultivation. By using Sentinel-2 satellite imagery, machine learning algorithms, and ground truth data, we analyzed changes in rice cultivation patterns before and after the Kaleshwaram intervention. The Near-Infrared Region (NIR) band was instrumental in accurately identifying residue burn areas and pinpointing burn dates, enabling timely alerts for decision-makers to act. Detailed quantifications of CO2, CH4, and N2O emissions from crop residue burning, alongside methane emissions from rice cultivation, highlight the significant contribution of these practices to overall GHG emissions. Key findings reveal a significant 82.1% increase in rice cultivation area from 2018–2019 to 2022–2023, accompanied by a worrying rise in residue burning, with some regions experiencing up to a 276% increase in burn areas. This research not only reveals the dual challenges of residue burning and GHG emissions but also emphasizes the importance of integrating precise burn date monitoring with emission data. The findings provide a strong foundation for implementing sustainable crop residue management strategies and developing informed policies to mitigate the adverse environmental effects of rice farming.

Original languageEnglish
Article number2508
JournalSustainability (Switzerland)
Volume17
Issue number6
DOIs
Publication statusPublished - 03-2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  3. SDG 13 - Climate Action
    SDG 13 Climate Action

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Environmental Science (miscellaneous)
  • Energy Engineering and Power Technology
  • Hardware and Architecture
  • Computer Networks and Communications
  • Management, Monitoring, Policy and Law

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