Applying Data Analysis and Machine Learning Methods to Predict Permafrost Coast Erosion

Applying Data Analysis and Machine Learning Methods to Predict Permafrost Coast Erosion

This study aims to establish a scientific and methodological basis for predicting shoreline positions using modern data analysis and machine learning techniques. The focus area is a 5 km section of the Ural coast along Baydaratskaya Bay in the Kara Sea. This region was selected due to its diverse ge...

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Bibliographic Details
Main Authors: Daria Bogatova, Stanislav Ogorodov
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Geosciences
Subjects:
arctic
coastal retreat
permafrost
exogenous processes
Kara Sea
data analysis
Online Access:https://www.mdpi.com/2076-3263/15/1/2
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