The University of Melbourne
Browse
ARCHIVE
1DCNN models and predictions.zip (1.08 GB)
ARCHIVE
LSTM models and predictions.zip (722.66 MB)
ARCHIVE
srr_results.zip (170.04 kB)
ARCHIVE
1DCNN RL grouping.zip (108.68 kB)
ARCHIVE
tuflow_files_prep.zip (0.82 kB)
ARCHIVE
UNet model.zip (20.82 MB)
.ZIP
preprocess_data.zip (3.92 GB)
.ZIP
TUFLOW validation events results.zip (14.92 GB)
1/0
8 files

Data for "Deep learning-based rapid flood inundation modelling for flat floodplains with complex flow paths"

dataset
posted on 2022-11-12, 14:24 authored by Yuerong Zhou, Wenyan WuWenyan Wu, Rory Nathan, QJ Wang

This includes the data used to develop and validate the deep models as presented in the study "Deep learning-based rapid flood inundation modelling for flat floodplains with complex flow paths". 

History

Usage metrics

    4000 - Engineering Students

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC