The paper presents the results of burned area (BA) mapping in Eastern Siberian forests using Land Long Term Data Record (LTDR) project data. A combined approach that includes an expert assessment of BAs detected by threshold algorithm is proposed. Comparison with Moderate Resolution Imaging Spectroradiometer (MODIS) product (MCD64A1 C6, 2001-2016) and Global Fire Emissions Database (GFED) v.4 data (1995-2016) showed good agreement with correlation coefficients of 0.97 and 0.93 with average relative errors 16.5% and 40.6%, respectively. 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.
1.RAS, SB, Yu G Shafer Inst Cosmophys Res & Aeron, Yakutsk, Russia 2.MK Ammosov North Eastern Fed Univ, Yakutsk, Russia
Recommended Citation:
Tomshin, Oleg,Solovyev, Vladimir. Generating a long-term data series of burned area in Eastern Siberia using LTDR data (1984-2016)[J]. REMOTE SENSING LETTERS,2019-01-01,10(10):1008-1017