Advancing process-based sargassum forecasts with earth observation and machine learning
Advancing process-based sargassum forecasts with earth observation and machine learning
Greene, Khalil
a3e1aa1b-ff2e-4125-a969-5aa616781932
14 January 2025
Greene, Khalil
a3e1aa1b-ff2e-4125-a969-5aa616781932
Greene, Khalil
(2025)
Advancing process-based sargassum forecasts with earth observation and machine learning.
SMMI PGR and Leverhulme Student Poster Event, University of Southampton, Southampton, United Kingdom.
14 Jan 2025.
1 pp
.
Record type:
Conference or Workshop Item
(Poster)
Text
Khalil Greene
- Author's Original
More information
Published date: 14 January 2025
Venue - Dates:
SMMI PGR and Leverhulme Student Poster Event, University of Southampton, Southampton, United Kingdom, 2025-01-14 - 2025-01-14
Identifiers
Local EPrints ID: 498403
URI: http://eprints.soton.ac.uk/id/eprint/498403
PURE UUID: ec10b376-a500-42e7-a30d-dc4aaa51bb0c
Catalogue record
Date deposited: 18 Feb 2025 17:32
Last modified: 22 Aug 2025 02:44
Export record
Contributors
Author:
Khalil Greene
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics