Flood in Mozambique

Published: 3 September 2021| Version 3 | DOI: 10.17632/rt7rbtzvt2.3
Arip Syaripudin Nur, Mutiara Syifa, Mahdi Panahi, Arief Rizqiyanto Achmad, Sung-Jae Park, Chang-Wook Lee


The data that support the findings of this study were derived from the following resources available in the public domain: [[scihub.copernicus.eu/ and https://earthexplorer.usgs.gov/] . 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).


Steps to reproduce

From DEM SRTM 90 meter and Sentinel-1 SAR data


Geographic Information Systems