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<p>Accurate and timely detection of active fires is crucial for effective disaster management and for mitigating their detrimental environmental and human health consequences. This study introduces an active fire detection algorithm specifically developed for the geostationary Indian National Satellite-3rd generation second repeat (INSAT-3DS). Leveraging the mid-wave and thermal infrared bands of INSAT-3DS, which offers observations at a 4&#xa0;km spatial resolution every 30&#xa0;minutes, our algorithm is designed for active fire monitoring across the Indian subcontinent. It employs a contextual thresholding approach enhanced by optimized diurnal thresholds, a glint angle rejection scheme, and adaptive background pixel selection. The algorithm’s efficacy is demonstrated through its successful detection of late-evening agricultural fires in Punjab and Haryana, as well as its ability to capture known fire incidents. Validation against the MODIS Collection 6.1 active fire product yielded a probability of detection (POD) of 45.31% for high-confidence MODIS fires, with a precision of 73.34% and a false alarm rate of 26.66%. Better agreement was observed for fires exhibiting higher fire radiative power (FRP), underscoring the influence of fire temperature and fractional area on detectability from INSAT-3DS. This research demonstrates the potential of high-temporal resolution observations from INSAT-3DS for active fire monitoring, offering a valuable complement to data from polar-orbiting satellites to support disaster response and fire mitigation efforts.</p>

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Active Fire Detection using Indian Geostationary Satellite INSAT-3DS

  • 期刊论文

  • 发表日期：

    2025年6月19日

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  • Nimisha Singh,
  • Rohit Pradhan,
  • Bipasha Paul Shukla,
  • Mehul R. Pandya,
  • Rashmi Sharma

摘要

Accurate and timely detection of active fires is crucial for effective disaster management and for mitigating their detrimental environmental and human health consequences. This study introduces an active fire detection algorithm specifically developed for the geostationary Indian National Satellite-3rd generation second repeat (INSAT-3DS). Leveraging the mid-wave and thermal infrared bands of INSAT-3DS, which offers observations at a 4 km spatial resolution every 30 minutes, our algorithm is designed for active fire monitoring across the Indian subcontinent. It employs a contextual thresholding approach enhanced by optimized diurnal thresholds, a glint angle rejection scheme, and adaptive background pixel selection. The algorithm’s efficacy is demonstrated through its successful detection of late-evening agricultural fires in Punjab and Haryana, as well as its ability to capture known fire incidents. Validation against the MODIS Collection 6.1 active fire product yielded a probability of detection (POD) of 45.31% for high-confidence MODIS fires, with a precision of 73.34% and a false alarm rate of 26.66%. Better agreement was observed for fires exhibiting higher fire radiative power (FRP), underscoring the influence of fire temperature and fractional area on detectability from INSAT-3DS. This research demonstrates the potential of high-temporal resolution observations from INSAT-3DS for active fire monitoring, offering a valuable complement to data from polar-orbiting satellites to support disaster response and fire mitigation efforts.