A mixed approach for urban flood prediction using Machine Learning and GIS

Motta, M., de Castro Neto, M., & Sarmento, P. (2021). A mixed approach for urban flood prediction using Machine Learning and GIS. International Journal of Disaster Risk Reduction, 56, 1-13. [102154]. https://doi.org/10.1016/j.ijdrr.2021.102154

Bibliographic Details
Main Author: Motta, Marcel (author)
Other Authors: Neto, Miguel de Castro (author), Sarmento, Pedro (author)
Format: article
Language:eng
Published: 2021
Subjects:
Flood prediction
GIS
Machine learning
Resilience planning
Smart cities
Geotechnical Engineering and Engineering Geology
Safety Research
Geology
SDG 11 - Sustainable Cities and Communities
SDG 13 - Climate Action
Online Access:http://hdl.handle.net/10362/114150
Country:Portugal
Oai:oai:run.unl.pt:10362/114150
Description
Summary:Motta, M., de Castro Neto, M., & Sarmento, P. (2021). A mixed approach for urban flood prediction using Machine Learning and GIS. International Journal of Disaster Risk Reduction, 56, 1-13. [102154]. https://doi.org/10.1016/j.ijdrr.2021.102154

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