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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, 2020-05-04 - 2020-05-08, Vienna, Austria.

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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 iDORCID Put Code
Efremenko, DmitryUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hedelt, PascalUNSPECIFIEDhttps://orcid.org/0000-0002-1752-0040UNSPECIFIED
Loyola, DiegoUNSPECIFIEDhttps://orcid.org/0000-0002-8547-9350UNSPECIFIED
Spurr, RobertRT Solutions, Inc.UNSPECIFIEDUNSPECIFIED
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 Start Date:4 May 2020
Event End Date:8 May 2020
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):Vorhaben Spectroscopic Methods in Remote Sensing (old)
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:24 Apr 2024 20:37

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