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MULTISCALE REMOTE SENSING AND GIS APPROACH FOR MONITORING OF POST- FIRE BURN SEVERITY AND VEGETATION RECOVERY IN HIGH-LATITUDE FOREST
Abstract
An approach is proposed for the joint use of remote sensing and geo-informatics methods for monitoring the impact of wildfires on vegetation in distant northern territories of Russia without involving ground-based data. Detection of burned areas in high latitudes (north of 65 degrees N) was carried out based on the analysis of a long-term series of space data obtained from Terra/Aqua satellites (monthly collection product MCD64A1 Burned Area) and an annual product Global Forest Change Data 2000?2017 derived from Landsat. Monitoring of post-fire burn severity and vegetation recovery was based on vegetation indices calculated using MODIS daily data with a spatial resolution of 500 m for burned areas over 50 square kilometers and Landsat daily data with a spatial resolution of 30 m for smaller areas. The obtained results indicate the effectiveness of using low-and medium-spatial resolution remote sensing monitoring data to identify trends and quantify the spatial and temporal dynamics of burned area restoration. The proposed approach allows to obtain high quality and cost-effective information support for decision-making systems reducing and preventing of damage from wildfires on hard to reach boreal forests in high-latitudes.
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