Spatiotemporal Analysis of the Termokarst Lakes Evolution Using Remote Sensing and Randomized Machine Learning and Forecasting

The work is devoted to the problem of forecasting the evolution of the area of thermokarst lakes in the Arctic permafrost zone using the analysis of test areas from several geographical regions. The approach proposed in the work is based on the Randomized Machine Learning method for constructing mat...

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Bibliographic Details
Main Authors: Dubnov Yuri, Popkov Alexey, Popkov Yuri, Kuprianov Matvey, Polyschuk Vladimir, Melnikov Andrey, Polyschuk Yuri
Format: Article
Language:English
Published: Russian Academy of Sciences, The Geophysical Center 2024-12-01
Series:Russian Journal of Earth Sciences
Subjects:
Online Access:http://doi.org/10.2205/2024es000935
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