Management and Evaluation of Flood Risk Zoning in the Catchment Area with Combined Methods of Maximum Entropy and Apg (Case Study: Aji Chai Catchment Area)

Author:

Abdollahzadeh Bina Ali,Fardmoradinia Sina

Publisher

Elsevier BV

Reference28 articles.

1. Computational Machine Learning Approach for Flood Susceptibility Assessment Integrated with Remote Sensing and GIS Techniques from Jeddah, Saudi Arabia;A M Al-Areeq;Remote Sensing,2022

2. Flood susceptibility mapping using extremely randomized trees for Assam 2020 floods;S Sachdeva;Ecological Informatics,2022

3. Snowmelt Flood Susceptibility Assessment in Kunlun Mountains Based on the Swin Transformer Deep Learning Method;R Yang;Remote Sensing,2022

4. Understanding of a convolutional neural network;S Albawi;2017 international conference on engineering and technology (ICET),2017

5. Flood hazard and risk mapping by applying an explainable machine learning framework using satellite imagery and GIS data;G Antzoulatos;Sustainability,2022

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