Transformation of Geospatial Modelling of Soil Erosion Susceptibility Using Machine Learning

Transformation of Geospatial Modelling of Soil Erosion Susceptibility Using Machine Learning

Soil erosion presents substantial environmental and economic challenges, especially in areas prone to land degradation. This study assesses the use of Machine Learning (ML) methods—Support Vector Machines (SVM) and Generalized Linear Models (GLM)—to model Soil Erosion Susceptibility (SES) in the Sa...

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Bibliographic Details
Main Authors: Muhammad Ramdhan Olii, Sartan Nento, Nurhayati Doda, Rizky Selly Nazarina Olii, Haris Djafar, Ririn Pakaya
Format: Article
Language:English
Published: Universitas Gadjah Mada 2025-05-01
Series:Journal of the Civil Engineering Forum
Subjects:
Soil Erosion Susceptibility (SES)
Geospatial Modelling
Machine Learning (ML)
Support Vector Machines (SVM)
Generalized Linear Models (GLM)
Online Access:https://journal.ugm.ac.id/v3/JCEF/article/view/19581
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