SandyBeachMapping_DL

Created 20/10/2024

Updated 20/10/2024

The code collection contains a Python package to train an image segmentation model using the U-Net deep learning architecture for mapping sandy beaches.

This collection supplements the publication: Regional-Scale Image Segmentation of Sandy Beaches: Comparison of Training and Prediction Across Two Extensive Coastlines in Southeastern Australia (Yong et al.)

Files and APIs

This dataset has no data

Additional Info

Field Value
Title SandyBeachMapping_DL
Language English
Licence Not Specified
Landing Page https://devweb.dga.links.com.au/data/dataset/acf62aad-b5e9-5187-b1a5-fb46a209268a
Contact Point
Environment Protection Authority (EPA) Victoria
CSIROEnquiries@csiro.au
Reference Period 01/01/2000
Geospatial Coverage
Map data © OpenStreetMap contributors
Data Portal Data.gov.au