Simulation of flood-prone areas using machine learning and GIS techniques in Samangan Province, Afghanistan

Simulation of flood-prone areas using machine learning and GIS techniques in Samangan Province, Afghanistan

Flood events are the most sophisticated and damaging natural hazard compared to other natural catastrophes. Every year, this hazard causes human-financial losses and damage to croplands in different locations worldwide. This research employs a combination of artificial neural networks and geographi...

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Bibliographic Details
Main Authors: Vahid Isazade, Abdul Baser Qasimi, Abdulla Al Kafy, Pinliang Dong, Mustafa Mohammadi
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2024-04-01
Series:Geodesy and Cartography
Subjects:
Flood
Perceptron artificial neural network
Digital elevation model
Samangan
Afghanistan
Online Access:https://btp.vgtu.lt/index.php/GAC/article/view/18555

Internet

https://btp.vgtu.lt/index.php/GAC/article/view/18555

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