Supervised Learning for Tracking Inland Glacier Flows Using TOPS Data

Pulella, Andrea and Renaud, Claire and Prats-Iraola, Pau and Sica, Francescopaolo (2023) Supervised Learning for Tracking Inland Glacier Flows Using TOPS Data. In: FRINGE Online Abstracts. ESA FRINGE Workshop, 2023-09-11 - 2023-09-15, Leeds, UK.

Full text not available from this repository.

Item URL in elib:

https://elib.dlr.de/196740/

Document Type:

Conference or Workshop Item (Speech)

Title:

Supervised Learning for Tracking Inland Glacier Flows Using TOPS Data

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Pulella, Andrea	UNSPECIFIED	https://orcid.org/0000-0001-6295-617X	UNSPECIFIED
Renaud, Claire	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Prats-Iraola, Pau	UNSPECIFIED	https://orcid.org/0000-0002-7583-2309	UNSPECIFIED
Sica, Francescopaolo	UNSPECIFIED	https://orcid.org/0000-0003-1593-1492	UNSPECIFIED

Date:

12 September 2023

Journal or Publication Title:

FRINGE Online Abstracts

Refereed publication:

Yes

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

SAR interferometry, TOPS, Sentinel-1, Glaciers, Deep Learning

Event Title:

ESA FRINGE Workshop

Event Location:

Leeds, UK

Event Type:

international Conference

Event Start Date:

11 September 2023

Event End Date:

15 September 2023

Organizer:

European Space Agency (ESA), University of Leeds

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 - Aircraft SAR

Location:

Oberpfaffenhofen

Institutes and Institutions:

Microwaves and Radar Institute > SAR Technology

Deposited By:

Pulella, M.Eng. Andrea

Deposited On:

25 Aug 2023 10:10

Last Modified:

24 Apr 2024 20:57

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