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Strandgren, Johan and Bugliaro Goggia, Luca (2017) Geostationary remote sensing of cirrus clouds using artificial neural networks. EGU General Assembly 2017, 2017-04-23 - 2017-04-28, Vienna, Austria.
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| Item URL in elib: | https://elib.dlr.de/114491/ | ||||||||||||
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| Document Type: | Conference or Workshop Item (Poster) | ||||||||||||
| Title: | Geostationary remote sensing of cirrus clouds using artificial neural networks | ||||||||||||
| Authors: |
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| 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 Start Date: | 23 April 2017 | ||||||||||||
| Event End Date: | 28 April 2017 | ||||||||||||
| 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 | ||||||||||||
| 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: | 24 Apr 2024 20:18 |
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