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, 2018-04-09 - 2018-04-13, Vienna, Austria.

PDF
39kB

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:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Hedelt, Pascal	UNSPECIFIED	https://orcid.org/0000-0002-1752-0040	UNSPECIFIED
Efremenko, Dmitry S.	UNSPECIFIED	https://orcid.org/0000-0002-7449-5072	UNSPECIFIED
Loyola, Diego	UNSPECIFIED	https://orcid.org/0000-0002-8547-9350	UNSPECIFIED

Date:

April 2018

Refereed publication:

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

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 Start Date:

9 April 2018

Event End Date:

13 April 2018

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), R - Atmospheric and climate research

Location:

Oberpfaffenhofen

Institutes and Institutions:

Remote Sensing Technology Institute > Atmospheric Processors

Deposited By:

Hedelt, Pascal

Deposited On:

19 Apr 2018 11:41

Last Modified:

24 Apr 2024 20:23

Repository Staff Only: item control page