Evaluating the Performance of Individual and Novel Ensemble of Machine Learning and Statistical Models for Landslide Susceptibility Assessment at Rudraprayag District of Garhwal Himalaya

Evaluating the Performance of Individual and Novel Ensemble of Machine Learning and Statistical Models for Landslide Susceptibility Assessment at Rudraprayag District of Garhwal Himalaya

<b>: </b>Landslides are known as the world’s most dangerous threat in mountainous regions and pose a critical obstacle for both economic and infrastructural progress. It is, therefore, quite relevant to discuss the pattern of spatial incidence of this phenomenon. The current research man...

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Bibliographic Details
Main Authors: Sunil Saha, Anik Saha, Tusar Kanti Hembram, Biswajeet Pradhan, Abdullah M. Alamri
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Applied Sciences
Subjects:
landslide susceptibility
ANN
machine learning algorithms
ensemble models
Rudraprayag
Garhwal Himalaya
Online Access:https://www.mdpi.com/2076-3417/10/11/3772

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https://www.mdpi.com/2076-3417/10/11/3772

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