Geoinformation mapping of the consequences of forest fires according to «Sentinel-2» and «Landsat-8» satellite data

Authors

  • Karina Y. Lis Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus
  • Dmitry A. Kislitsyn Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus
  • Antonina A. Topaz Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus

Keywords:

forest fires, spectral indices, «Sentinel-2», «Landsat-8», automated interpretation, geographic information technologies, ModelBuilder

Abstract

This article presents methodological approach for identifying a forest fire in the southeastern part of the Lelchitsy District of the Gomel Region based on data from multi-temporal «Sentinel-2» and «Landsat-8» satellite images. The possibility of using information on spectral indices to assess the level of vegetation of various ecosystems is considered. To identify the burned area in ArcGIS software (version 10.7), a geoinformation analysis of the difference in the NBR, NDVI, BAI indices for the period from 5 to 10 April 2020 according to «Sentinel-2» satellite images and from 25 March to 10 April 2020 according to «Landsat-8» satellite images was carried out. The two geoprocessing models created in ModelBuilder environment use 29 and 15 tools, respectively, which allows us to largely automate the process of identifying areas affected by forest fire. The preliminary identification of the burned area was based on areas that met two or three index criteria, which were determined based on the results of the first geoprocessing model. The use of combinations of at least two index criteria makes it possible to take into account the characteristics of each of the indices and reduces possible errors in identifying the territory affected by a forest fire. Further refinement is based on the use of spatial information about agricultural lands, which were identified as a result of automated interpretation of the «Sentinel-2» satellite image using the maximum likelihood method, as well as generalisation and vectorisation of the classified raster. The degree of confidence increased markedly after removing areas selected on the basis of index criteria, but confined to arable lands and grasslands. To quantify the accuracy, a spatial intersection was performed between the vector layers obtained based on the presented technique and the result of visual interpretation. The effectiveness of using geographic information systems for identifying and mapping the consequences of forest fires based on Earth remote sensing data has been confirmed by a high level of reliability of the results obtained (about 96 and 89 % according to «Sentinel-2» and «Landsat-8» satellite data, respectively).

Author Biographies

  • Karina Y. Lis, Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus

    lecturer at the department of geodesy and aero­ space cartography, faculty of geography and geoinformatics

  • Dmitry A. Kislitsyn, Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus

    lecturer at the department of soil science and geographic information systems, faculty of geography and geoinformatics

  • Antonina A. Topaz, Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus

    PhD (geography), docent; head of the department of geodesy and aerospace cartography, faculty of geography and geoinformatics

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Published

2024-12-24

Issue

No. 2 (2024): Journal of the Belarusian State University. Geography and Geology

Section

Geography

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How to Cite

[1]
Lis, K.Y. et al. 2024. Geoinformation mapping of the consequences of forest fires according to «Sentinel-2» and «Landsat-8» satellite data. Journal of the Belarusian State University. Geography and Geology. 2 (Dec. 2024), 24–38.