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

Domain:

geospatialclimate

Record type:

paper
Creator:
Nur
Publisher:
Men
Host:avatar
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).

Languages

Sar

Tags

Geographic Information Systems

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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