Applying a 1D Convolutional Neural Network in Flood Susceptibility Assessments—The Case of the Island of Euboea, Greece

Applying a 1D Convolutional Neural Network in Flood Susceptibility Assessments—The Case of the Island of Euboea, Greece

The main scope of the study is to evaluate the prognostic accuracy of a one-dimensional convolutional neural network model (1D-CNN), in flood susceptibility assessment, in a selected test site on the island of Euboea, Greece. Logistic regression (LR), Naïve Bayes (NB), gradient boosting (GB), and a...

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Bibliographic Details
Main Authors: Paraskevas Tsangaratos, Ioanna Ilia, Aikaterini-Alexandra Chrysafi, Ioannis Matiatos, Wei Chen, Haoyuan Hong
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
flood susceptibility
remote sensing
convolutional neural network
geoinformatics
Euboea
Greece
Online Access:https://www.mdpi.com/2072-4292/15/14/3471

Internet

https://www.mdpi.com/2072-4292/15/14/3471

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