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Applying inverse learning machines to TROPOMI SO2 data: first results of SO2 plume height retrieval

Hedelt, Pascal and Efremenko, Dmitry S. and Loyola, Diego (2018) Applying inverse learning machines to TROPOMI SO2 data: first results of SO2 plume height retrieval. EGU 2018, 09. - 13. Apr. 2018, Vienna, Austria.

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Official URL: https://www.egu2018.eu/


Item URL in elib:https://elib.dlr.de/119678/
Document Type:Conference or Workshop Item (Speech)
Title:Applying inverse learning machines to TROPOMI SO2 data: first results of SO2 plume height retrieval
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Hedelt, PascalPascal.Hedelt (at) dlr.dehttps://orcid.org/0000-0002-1752-0040
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
Date:April 2018
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Remote sensing, Volcanic eruptions, Sulphur Dioxide, Plume Height TROPOMI
Event Title:EGU 2018
Event Location:Vienna, Austria
Event Type:international Conference
Event Dates:09. - 13. Apr. 2018
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):Vorhaben Spectroscopic Methods in Remote Sensing, R - Vorhaben Atmosphären- und Klimaforschung
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Hedelt, Pascal
Deposited On:19 Apr 2018 11:41
Last Modified:31 Jul 2019 20:17

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