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Remotesensing 15 00482 by shruthibonagiri240 is a document available to read on EtoBox.

This study analyzes the effectiveness of three machine learning algorithms—Support Vector Machine, Random Forest, and Multilayer Perceptron—in modeling soil erosion using remotely sensed data from Sentinel-2 images in Iceland. The research highlights the challenges of applying remote sensing techniques in Arctic regions and aims to automate soil erosion risk predictions for less accessible areas. The findings suggest that machine learning models can significantly enhance the understanding and management of

Author

shruthibonagiri240

Language

EN