New directions in mapping the Earth’s surface with citizen science and generative AI

New directions in mapping the Earth’s surface with citizen science and generative AI

Summary: As more satellite imagery has become openly available, efforts in mapping the Earth’s surface have accelerated. Yet the accuracy of these maps is still limited by the lack of in situ data needed to train machine learning algorithms. Citizen science has proven to be a valuable approach for c...

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Bibliografische gegevens
Hoofdauteurs: Linda See, Qingqing Chen, Andrew Crooks, Juan Carlos Laso Bayas, Dilek Fraisl, Steffen Fritz, Ivelina Georgieva, Gerid Hager, Martin Hofer, Myroslava Lesiv, Žiga Malek, Milutin Milenković, Inian Moorthy, Fernando Orduña-Cabrera, Katya Pérez-Guzmán, Dmitry Schepaschenko, Maria Shchepashchenko, Jan Steinhauser, Ian McCallum
Formaat: Artikel
Taal:English
Gepubliceerd in: Elsevier 2025-03-01
Reeks:iScience
Onderwerpen:
Earth sciences
Environmental science
Remote sensing
Cartography
Online toegang:http://www.sciencedirect.com/science/article/pii/S2589004225001798

Internet

http://www.sciencedirect.com/science/article/pii/S2589004225001798

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