Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility Mapping

Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility Mapping

Despite yielding considerable degrees of accuracy in landslide predictions, the outcomes of different landslide susceptibility models are prone to spatial disagreement; and therefore, uncertainties. Uncertainties in the results of various landslide susceptibility models create challenges in selectin...

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Bibliographic Details
Main Authors: Mohammed Sarfaraz Gani Adnan, Md Salman Rahman, Nahian Ahmed, Bayes Ahmed, Md. Fazleh Rabbi, Rashedur M. Rahman
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Remote Sensing
Subjects:
landslides
remote sensing
uncertainty
K-Nearest Neighbor
Multi-Layer Perceptron
Random Forest
Online Access:https://www.mdpi.com/2072-4292/12/20/3347

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https://www.mdpi.com/2072-4292/12/20/3347

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