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AI4RTM: Artificial Intelligence for Radiative Transfer Models

del Águila, Ana and Efremenko, Dmitry S. and Loyola, Diego and Molina García, Víctor and Trautmann, Thomas and Xu, Jian (2019) AI4RTM: Artificial Intelligence for Radiative Transfer Models. Phi-Week 2019, 9.-13. Sep. 2019, Frascati (Rome), Italy.

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Official URL: https://phiweek.esa.int/NikalWebsitePortal/esa-eo-phi-week-2019/phiweek/Agenda/AgendaItemDetail?id=e5870dc7-9419-467c-b2e4-2477c830bf5c

Item URL in elib:https://elib.dlr.de/130137/
Document Type:Conference or Workshop Item (Speech)
Title:AI4RTM: Artificial Intelligence for Radiative Transfer Models
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
del Águila, AnaAna.delAguilaPerez (at) dlr.dehttps://orcid.org/0000-0001-9006-9631
Efremenko, Dmitry S.Dmitry.Efremenko (at) dlr.dehttps://orcid.org/0000-0002-7449-5072
Loyola, DiegoDiego.Loyola (at) dlr.dehttps://orcid.org/0000-0002-8547-9350
Molina García, VíctorVictor.MolinaGarcia (at) dlr.deUNSPECIFIED
Trautmann, ThomasThomas.Trautmann (at) dlr.deUNSPECIFIED
Xu, Jianjian.xu (at) dlr.dehttps://orcid.org/0000-0003-2348-125X
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:PCA; AI; RTM; radiative transfer; artificial intelligence; machine learning; data-driven algorithms
Event Title:Phi-Week 2019
Event Location:Frascati (Rome), Italy
Event Type:international Conference
Event Dates:9.-13. Sep. 2019
Organizer:European Space Agency (ESA)
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Atmospheric and climate research, Vorhaben Spectroscopic Methods in Remote Sensing (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: del Aguila Perez, Ana
Deposited On:18 Nov 2019 08:30
Last Modified:19 Nov 2019 18:04

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