Deep learning applied to CO<sub>2</sub> power plant emissions quantification using simulated satellite images
Abstract CO 2 M (Copernicus Anthropogenic Carbon Dioxide Monitoring) satellite constellation in 2026 is expected to provide high-resolution images of CO 2 XCO 2 CO 2 CO 2 M will encounter various obstacles. A challenge is the low CO 2 XCO 2 XCO 2 XCO 2 NO 2 ∼ XCO 2 NO 2 XCO 2 CO 2 emissions from satellite images.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Deep learning applied to CO2 power plant emissions quantification using simulated satellite images ; volume:17 ; number:5 ; year:2024 ; pages:1995-2014 ; extent:20
Geoscientific model development ; 17, Heft 5 (2024), 1995-2014 (gesamt 20)
- Urheber
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Dumont Le Brazidec, Joffrey
Vanderbecken, Pierre
Farchi, Alban
Broquet, Grégoire
Kuhlmann, Gerrit
Bocquet, Marc
- DOI
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10.5194/gmd-17-1995-2024
- URN
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urn:nbn:de:101:1-2024030703161056214833
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:46 MESZ
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Beteiligte
- Dumont Le Brazidec, Joffrey
- Vanderbecken, Pierre
- Farchi, Alban
- Broquet, Grégoire
- Kuhlmann, Gerrit
- Bocquet, Marc
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