Integrating machine learning, remote sensing and citizen science to create an early warning system for biodiversity.

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Resource type
Journal article
Creator (person)
Antonelli, Alexandre
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Dhanjal‐Adams, Kiran L.
Silvestro, Daniele
Date published
November 2, 2022
Organisational unit
Science
Project(s)
Priority 1: Ecosystem Stewardship
Funder
Funder nameISNIAwards
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
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PCEFP3_187012
Vetenskapsrådet
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2019‐05191
Journal title
Plants, People, Planet
Article number
ppp3.10337
Publisher
Published by John Wiley & Sons Ltd on behalf of New Phytologist Foundation.
Place of publication
Hoboken, NJ, US
ISSN
2572-2611
eISSN
2572-2611
Date accepted
September 15, 2022
Official URL
Rights statement
In Copyright
Licence
CC BY-NC 4.0
DOI
Alternate identifier
ppp3.10337
Keywords
Additional information
IF unknown