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Geostationary remote sensing of cirrus clouds using artificial neural networks

Strandgren, Johan and Bugliaro Goggia, Luca (2017) Geostationary remote sensing of cirrus clouds using artificial neural networks. EGU General Assembly 2017, 23.-28. Apr. 2017, Vienna, Austria.

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Item URL in elib:https://elib.dlr.de/114491/
Document Type:Conference or Workshop Item (Poster)
Title:Geostationary remote sensing of cirrus clouds using artificial neural networks
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Strandgren, JohanDLR, IPAhttps://orcid.org/0000-0001-7876-5845
Bugliaro Goggia, LucaDLR, IPAhttps://orcid.org/0000-0003-4793-0101
Date:2017
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:cirrus clouds, remote sensing, MSG, SEVIRI, neural networks, machine learning
Event Title:EGU General Assembly 2017
Event Location:Vienna, Austria
Event Type:international Conference
Event Dates:23.-28. Apr. 2017
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Atmosphären- und Klimaforschung
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Atmospheric Remote Sensing
Deposited By: Strandgren, Johan
Deposited On:19 Oct 2017 13:49
Last Modified:31 Jul 2019 20:11

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