Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 4, pp. 137-149
Combined approach to burned area mapping in Eastern Siberia using AVHRR/NOAA data (1984–2016)
O.A. Tomshin
1, 2 , V.S. Solovyev
1, 2 1 Yu.G. Shafer Institute of Cosmophysical Research and Aeronomy SB RAS, Yakutsk, Russia
2 M.K. Ammosov North-Eastern Federal University, Yakutsk, Russia
Accepted: 04.04.2019
DOI: 10.21046/2070-7401-2019-16-4-137-149
The paper presents the results of burned area (BA) mapping in Eastern Siberian forests using LTDR project data. A combined approach that includes expert assessment of burned areas detected by threshold algorithm is proposed. Comparison with MODIS (MCD64A1 C6, 2001–2016) and GFED-4 (1995–2016) data shows good agreement with correlation coefficients of ~0.95, ~0.87 and average relative errors 16.5% and 40.6 %, respectively. Analysis of the spatial distribution of BA shows that in the territory west of the Baikal the quality of BA detection is somewhat degraded. This decrease is due to generally smaller size of BA in this region and, given lower resolution of the LTDR data as compared to the MODIS data, the probability of their detection is lower. The combined approach shows that in some regions that have a complex landscape MODIS data often provide unreliable results. Annual maps of BA in Eastern Siberia are constructed for 1984–2016. It is concluded that the use of a combined approach based on expert assessment with additional conditions provides a higher (compared to fully automated algorithms) level of confidence in BA detection, especially over areas with mountainous terrain, complex ground surface texture, vegetation type and/or over areas located at high latitudes, where the occurrence of wildfires is extremely unlikely.
Keywords: burned area, forest fires, remote sensing
Full textReferences:
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