Semantic segmentation of explosive volcanic plumes

Version 2 2022-04-29, 08:44

Version 1 2021-11-23, 12:50

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.

This work is associated with a research article which will soon be submitted for peer-review in Computers and Geosciences.

Funding

Leverhulme ECF-2020-107

History

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

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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

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Keywords

volcanology volcanic eruption deep learning Convolutional neural networks semantic segmentation Volcanology

Licence

GPL

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