Utilizing SAR, GIS, and Deep Learning for Flood Susceptibility Mapping: A Case Study of a Flood in Mozambique

Published: 30 July 2021| Version 1 | DOI: 10.17632/rt7rbtzvt2.1
Contributor:
Arip Syaripudin Nur

Description

This study integrated the geographic information system, SAR data, and two deep learning techniques; namely, the convolutional neural network (CNN) and Group Method of Data Handling (GMDH) network model techniques, to generate a flood susceptibility map (FSM).

Files

Steps to reproduce

From DEM SRTM 90 meter and Sentinel-1 SAR data

Categories

Geographic Information Systems

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