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FP_ILM: Extremely fast volcanic SO2 plume height retrieval based on S5P/TROPOMI data using inverse learning machines

Efremenko, Dmitry and Hedelt, Pascal and Loyola, Diego and Spurr, Robert (2020) FP_ILM: Extremely fast volcanic SO2 plume height retrieval based on S5P/TROPOMI data using inverse learning machines. EGU2020, 04.-08. Mai 2020, Vienna, Austria.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/134813/
Document Type:Conference or Workshop Item (Speech)
Title:FP_ILM: Extremely fast volcanic SO2 plume height retrieval based on S5P/TROPOMI data using inverse learning machines
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Efremenko, DmitryDmitry.Efremenko (at) dlr.deUNSPECIFIED
Hedelt, PascalPascal.Hedelt (at) dlr.dehttps://orcid.org/0000-0002-1752-0040
Loyola, DiegoDiego.Loyola (at) dlr.dehttps://orcid.org/0000-0002-8547-9350
Spurr, RobertRT Solutions, Inc.UNSPECIFIED
Date:2020
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:SO2 LH, S5P, Radiative Transfer, Volcanoes, Machine Learning
Event Title:EGU2020
Event Location:Vienna, Austria
Event Type:international Conference
Event Dates:04.-08. Mai 2020
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
Location: Berlin-Adlershof , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Hedelt, Pascal
Deposited On:13 May 2020 10:04
Last Modified:13 May 2020 10:04

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