Landslide Susceptibility Assessment by Using Convolutional Neural Network

Landslide Susceptibility Assessment by Using Convolutional Neural Network

This study performs a GIS-based landslide susceptibility assessment using a convolutional neural network, CNN, in a study area of the Gorzineh-khil region, northeastern Iran. For this assessment, a 15-layered CNN was programmed in the Python high-level language for susceptibility mapping. In this re...

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Bibliographic Details
Main Authors: Shahrzad Nikoobakht, Mohammad Azarafza, Haluk Akgün, Reza Derakhshani
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Applied Sciences
Subjects:
artificial intelligence
convolutional neural networks (CNN)
deep-learning
susceptibility assessment
Gorzineh-khil region
Online Access:https://www.mdpi.com/2076-3417/12/12/5992

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https://www.mdpi.com/2076-3417/12/12/5992

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