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Использование данных дистанционного зондирования для предупреждения возгораний торфоразработок
The article considers the possibility of peat field fire prediction using the open sources of remotesensing data. Spatial and temporal distribution of peat field fires was analyzed for the European part ofRussia which is the most vulnerable area of the country in terms of peat-fire risks. The brightness temperatureand the NDWI moisture index were identified as the most characteristic parameters. They are sensitive tochanging 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 thresholdvalues with the surface temperature made it possible to extend the established values to other unsearchedpeateries of the European Russia. Following the results of the study, recommendations to forecast peatfield fires by remote sensing data were given