Semantic segmentation of explosive volcanic plumes

software

posted on 2022-04-29, 08:44 authored by Thomas WilkesThomas Wilkes

Three deep learning models for the semantic segmentation of explosive volcanic plumes in visible imagery. Also included is a utils.py file with some small useful functions for working with these models in deployment.<div><br></div><div>This work is associated with a research article which will soon be submitted for peer-review in Computers and Geosciences.</div>

Funding

Leverhulme ECF-2020-107

History

Related Materials

1.
URL - References https://eprints.whiterose.ac.uk/192469/
2.
DOI - Is supplement to Semantic segmentation of explosive volcanic plumes through deep learning

Ethics

There is no personal data or any that requires ethical approval

Policy

The data complies with the institution and funders' policies on access and sharing

Sharing and access restrictions

The data can be shared openly

Data description

The file formats are open or commonly used

Methodology, headings and units

There is a file including methodology, headings and units, such as a readme.txt

Usage metrics

Keywords

volcanology volcanic eruption deep learning Convolutional neural networks semantic segmentation Volcanology

Licence

GPL