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Flood in Mozambique

Domaine:

geospatialclimate

Type de record:

datasetpaper
Créateur:
Ari
Éditeur:
AriMutMahAri
Éditeur:
Men
Hôte:avatar
The data that support the findings of this study were derived from the following resources available in the public domain: [[scihub.copernicus.eu/ and 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).

Visit

doi.orgdata.mendeley.com

Tasks

computer vision

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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