2020
DOI: 10.1051/e3sconf/202022303007
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Remote sensing data for assessing the equivalent water height (EWH) variety versus the level of forest disturbance in Central Siberia

Abstract: The forests of the permafrost zone of Central Siberia are influenced by natural and anthropogenic factors. Using remote sensing data, disturbed areas of forest cover are detected in the IR range as an anomalies of the surface temperature, which are significant for a long time (~20 years). Long-term changes in the temperature balance of the surface affect both the state of the lower soil horizons and the dynamics of the seasonally thawed layer, and, therefore, can affect the variation in the water balance and g… Show more

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