Using remote sensing data to monitor peat field fires
Abstract
The article considers the possibility of peat field fire prediction using the open sources of remote sensing data. Spatial and temporal distribution of peat field fires was analyzed for the European part of Russia which is the most vulnerable area of the country in terms of peat-fire risks. The brightness temperature and the NDWI moisture index were identified as the most characteristic parameters. They are sensitive to changing flammability of peateries and could be calculated using Aqua/Terra, Landsat-8 and Sentinel-2 data. The threshold values of these parameters were determined by surveying the fields burned during 2013- 2017, thus providing for the interpretation of potential peat field fires. Correlation analysis of threshold values with the surface temperature made it possible to extend the established values to other unsearched peateries of the European Russia. Following the results of the study, recommendations to forecast peat field fires by remote sensing data were given.
Supporting agencies: The article is prepared under the research theme of the State task № ААААА19-119022190168-8
About the Authors
A. T. Gizatullin
Lomonosov Moscow State University
Russian Federation
Russian Federation
Master student
Faculty of Geography, Department of Cartography and Geoinformatics
N. A. Alexeenko
Lomonosov Moscow State University;
Institute of Geography
Russian Federation
Russian Federation
Lomonosov Moscow State University, Faculty of Geography, Department of Cartography and Geoinformatics, Associate Professor, Ph.D. in Geography; Institute of Geography, Russian Academy of Sciences, Laboratory of Cartography, Scientific Researcher
N. A. Moiseewa
SCANEX Group
Russian Federation
Russian Federation
Head of Department
Department of Thematic Cartography
References
1. Afanas’ev A.E., Inisheva L.I., Kovalev N.G. et al. Koncepciya ohrany i racional’nogo ispol’zovaniya torfyanyh bolot Rossii [The concept of protection and rational use of peat bogs in Russia]. Tomsk, Center of Scientific and Technical Information Publ., 2005, 76 p. (In Russian)
2. Berlyant A.M. Kartograficheskij metod issledovaniya [Cartographic method of research]. Moscow, Moscow Univ. Publ., 1978, 257 p. (In Russian)
3. Gao B. NDWI – A Normalized Difference Water Index for Remote Sensing of Vegetation Liquid Water from Space. Remote Sensing of Environment, 1996, vol. 58, p. 257–266.
4. Golovanov A.N., Yakimov A.S., Abramovskih A.A. et al. O matematicheskom modelirovanii processov zazhiganiya i tleniya torfa [Mathematic modeling of peat burning and smouldering]. Teplofizika i aehromekhanika, Novosibirsk, Siberian Branch of the RAS Publ., 2008, no. 4, p. 699–710. (In Russian)
5. Justice C., Giglio L., Korontsi S. et al. The MODIS fire products. Remote Sensing of Environment, 2002, vol. 83, p. 244–262.
6. Lishtvan I.I., Bazin E.T., Gamayunov N.I. et al. Fizika i himiya torfa [Physics and Chemistry of Peat]. Moscow, Nedra Publ., 1989, 304 p. (In Russian)
7. McCarthy J., Roy D., Frost P.E. et al. Remote sensing to detect sub surface peat fires and peat fire scars in the Okavango Delta, Botswana. South African Journal of Science, 2002, vol. 7, p. 351–358.
8. Medvedeva M.A., Vozbrannaya A.E., Sirin A.A. et al. Vozmozhnosti razlichnyh mnogospektral’nyh sputnikovyh dannyh dlya ocenki sostoyaniya neispol’zuemyh pozharoopasnyh i obvodnyaemyh torforazrabotok [Potentials of various multispectral satellite data for assessing the status of unused fire-hazardous and flooded peat mines]. Issledovanie Zemli iz kosmosa, 2011, no. 3, p. 76–84. (In Russian)
9. Mironenko I.V., Osika N.A., Novenko E.Yu. et al. Landshaftnaya priurochennost’ pozharov 2010 goda v yugovostochnoj Meshchere [Landscape location of 2010 fires in the southeastern Meshchera]. Fundamental’nye i prikladnye aspekty sovremennoj biologii: materialy II Vserossijskoj molodyozhnoj nauchnoj konferencii [Fundamental and applied aspects of modern biology: proc. of the II Russian Youth Scientific Conference]. Tomsk, Tomsk State Univ. Publ., 2015, p. 90–93. (In Russian)
10. Ovchinnikova T.V., Prancuzova I.V. Monitoring chrezvychajnyh situacij s ispol’zovaniem distancionnogo zondirovaniya Zemli [Monitoring of emergencies using the Earth remote sensing]. Sovremennye tekhnologii obespecheniya grazhdanskoj oborony i likvidacii posledstvij chrezvychajnyh situacij: Materialy II Vserossij skojnauchno-prakticheskoj Internet konferencii [Modern technologies for providing civil defense and emergency response: Proc. of the II Russian Scientific and Practical Internet Conference]. Voronezh, Voronezh Institute of the State Fire Service, Ministry of Emergencies, 2011, p. 128–130. (In Russian)
11. Siegert F., Zhukov B., Oertel D., Limin S., Page S.E., Rieley J.O. Peat fires detected by the BIRD satellite. International Journal of Remote Sensing, 2004, 25:16, p. 3221–3230. DOI: 10.1080/01431160310001642377.
12. Vtyurin S. A., Knyazev N. A., Palatov YU. A. et al. Ispol’zovanie dannyh distancionnogo zondirovaniya Zemli iz kosmosa dlya prognoznogo modelirovaniya ehkologicheskoj obstanovki [Application of the Earth remote sensing space data for predictive modeling of environmental situation] Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2007, vol. 1, no. 4, p. 111–118. (In Russian)
13. About MODIS: Moderate Resolution Imaging Spectroradiometer. NASA – National Aeronautics and Space Administration. 2019. [Elektronnyi resurs]. URL: https://modis.gsfc.nasa.gov/ (access date 15.01.2019).
14. Fire map. SCANEX. 2019. [Elektronnyi resurs]. URL: http://fires.ru/ (access date 07.02.2019).
15. Landsat-8 – The Landsat Program. NASA – National Aeronautics and Space Administration. 2019. [Elektronnyi resurs]. URL: http://landsat.gsfc.nasa.gov/landsat-8/ (access date 15.01.2019).
16. Missions: Sentinel-2. ESA: Sentinel Online. 2019. [Elektronnyi resurs]. URL: https://sentinel.esa.int/web/sentinel/missions/sentinel-2 (access date 19.01.2019).
17. NASA Prediction of Worldwide Energy Resources. NASA – National Aeronautics and Space Administration. 2019. [Elektronnyi resurs]. URL: https://power.larc.nasa.gov/ (access date 15.01.2019).
Review
For citations:
Gizatullin A.T., Alexeenko N.A., Moiseewa N.A. Using remote sensing data to monitor peat field fires. Lomonosov Geography Journal. 2020;(2):45-52. (In Russ.)
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