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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2025, V. 22, No. 6, pp. 214-228

Optimization of forest burnt area assessment using MODIS and VIIRS active fire data

E.A. Loupian 1 , I.V. Balashov 1 , F.V. Stytsenko 1 , K.S. Senko 1 , D.V. Lozin 1 
1 Space Research Institute RAS, Moscow, Russia
Accepted: 02.12.2025
DOI: 10.21046/2070-7401-2025-22-6-214-228
Active fire detection data are widely used for forest fire monitoring and burnt area assessment. Satellite systems that provide hotspot detection data have limitations in terms of observation frequency (usually several times per day) and spatial resolution. This demands developing burnt area assessment methods and technologies that take into account specific features of the employed satellite instruments. The paper proposes burnt area assessment techniques based on selection of optimal parameters for combining individual hotspots into a single fire event, followed by geometric fire areas correction based on reference data. Reference data may comprise high resolution burnt area data and/or active fire data obtained from other reference satellite systems. The results allowed improving the technique for burnt area estimation using MODIS (Moderate Resolution Imaging Spectroradiometer) data, both for individual fires and for large territories, including throughout the Russian Federation. The study also allowed using the burnt area assessment technique, which is currently in operation, with VIIRS (Visible Infrared Imaging Radiometer Suite) data, ensuring continuation of time-consistent fire data inflow.
Keywords: burnt area, wild fire detection, burnt area assessment, active fire, satellite data, monitoring, MODIS, VIIRS
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References:

  1. Balashov I. V., Kashnitskii A. V., Bartalev S. A. et al., VEGA-Les: information system for complex monitoring of forests and hunting grounds in Russia, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2020, V. 17, No. 4, pp. 73–88 (in Russian), DOI: 10.21046/2070-7401-2020-17-4-73-88.
  2. Bartalev S. A., Egorov V. A., Efremov V.Yu., Loupian E. A., Stytsenko F. V., Flitman E. V., Integrated burnt area assessment based on combine use of multi-resolution MODIS and Landsat-TM/ETM+ satellite data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2012, V. 9, No. 2, pp. 9–26 (in Russian).
  3. Bartalev S. A., Loupian E. A., Stytsenko F. V., Panova O. Y., Efremov V. Yu., Rapid mapping of forest burnt areas over Russia using Landsat data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2014, V. 11, No. 1, pp. 9–20 (in Russian).
  4. Kotel’nikov R. V., Loupian E. A., Bartalev S. A., Ershov D. V., Space monitoring of forest fires: history of creation and development of ISDM-Rosleskhoz, Lesovedenie, 2019, No. 5, pp. 399–409 (in Russian), DOI: 10.1134/S0024114819050048.
  5. Lozin D. V., Loupian E. A., Balashov I. V. et al., Adaptation of MOD14 fire detection algorithm to work with the data of MSU MR device, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, V. 21, No. 1, pp. 231–245 (in Russian), DOI: 10.21046/2070-7401-2024-21-1-231-245.
  6. Loupian E. A., Savin I. Yu., Bartalev S. A., Tolpin V. A., Balashov I. V., Plotnikov D. E., Satellite Service for Vegetation Monitoring VEGA, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2011, V. 8, No. 1, pp. 190–198 (in Russian).
  7. Loupian E. A., Bartalev S. A., Ershov D. V., Kotel’nikov R. V., Balashov I. V., Burtsev M. A., Egorov V. A., Efremov V. Yu., Zharko V. O., Kovganko K. A., Kolbudaev P. A., Krasheninnikova Yu. S., Proshin A. A., Mazurov A. A., Uvarov I. A., Stytsenko F. V., Sychugov I. G., Flitman E. V., Khvostikov S. A., Shulyak P. P., Satellite data processing management in Forest Fires Remote Monitoring Information System (ISDM-Rosleskhoz) of the Federal Agency for Forestry, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2015, V. 12, No. 5, pp. 222–250 (in Russian).
  8. Loupian E. A., Bartalev S. A., Balashov I. V. et al., Satellite monitoring of forest fires in the 21st century in the territory of the Russian Federation (facts and figures based on active fires detection), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, V. 14, No. 6, pp. 158–175 (in Russian), DOI: 10.21046/2070-7401-2017-14-6-158-175.
  9. Loupian E. A., Proshin A. A., Burtsev M. A. et al. (2021a), Vega-Science system: design features, main capabilities and usage experience, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, V. 18, No. 6. pp. 9–31 (in Russian), DOI: 10.21046/2070-7401-2021-18-6-9-31.
  10. Loupian E. A., Stytsenko F. V., Senko K. S. et al. (2021b), Burnt area assessment using MODIS Collection 6 active fire data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, V. 18, No. 4, pp. 178–192 (in Russian), DOI: 10.21046/2070-7401-2021-18-4-178-192.
  11. Loupian E. A., Lozin D. V., Bartalev S. A. et al., Assessment of damage to Russian forests by fires in the XXI century based on analysis of fire intensity using MODIS instrument, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, V. 21, No. 6, pp. 233–249 (in Russian), DOI: 10.21046/2070-7401-2024-21-6-233-249.
  12. Ponomarev E. I., Ivanov V. A., Satellite monitoring of extreme wildfire dynamics, Khvoinye boreal’noi zony, 2012, V. 30, No. 3–4, pp. 307–311 (in Russian).
  13. Ponomarev E. I., Shvetsov E. G., Satellite detection of forest fires and geoinformation methods for calibrating of results, Issledovanie Zemli iz kosmosa, 2015, No. 1, pp. 84–91 (in Russian).
  14. Bartalev S. A., Egorov V. A., Efremov V. Yu., Flitman E. V., Loupian E. A., Stytsenko F. V., Assessment of burned forest areas over the Russian Federation from MODIS and Landsat-TM/ETM+ imagery, In: Global forest monitoring from Earth observation, F. Achard, M. C. Hansen (eds.), Boca Raton: CRC Press, Taylor and Francis Group, 2013, pp. 245–271.
  15. Giglio L., Schroeder W., Hall J. V., Justice C. O., MODIS Collection 6 Active Fire Product User’s Guide Revision C, University of Maryland, Dep. Geographical Sciences, 2020, 63 p.
  16. Loboda T., Csiszar I., Estimating burned area from AVHRR and MODIS: validation results and sources of error, Contemporary Earth Remote Sensing from Space, 2005, V. 2, pp. 415–421.
  17. Loupian E. A., Mazurov A. A., Flitman E. V. et al., Satellite monitoring of forest fires in Russia at federal and regional levels, Mitigation and Adaptation Strategies for Global Change, 2006, V. 11, pp. 113–145, https://doi.org/10.1007/s11027-006-1013-7.
  18. Schroeder W., Oliva P., Giglio L., Csiszar I. A., The New VIIRS 375 m active fire detection data product: Algorithm description and initial assessment, Remote Sensing of Environment, 2014, V. 143, pp. 85–96, DOI: 10.1016/j.rse.2013.12.008.
  19. Tansey K., Grégoire J.-M., Defourny P. et al., A new, global, multi-annual (2000–2007) burned area product at 1 km resolution, Geophysical Research Letters, 2008, V. 35, Article L01401, https://doi.org/10.1029/2007GL031567.
  20. Xu W., Wooster M. J., Sentinel-3 SLSTR active fire (AF) detection and FRP daytime product — Algorithm description and global intercomparison to MODIS, VIIRS and Landsat AF data, Science of Remote Sensing, 2023, V. 7, Article 100087, https://doi.org/10.1016/j.srs.2023.100087.