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A Snow Properties-Aware Deep Learning Framework for Penetration Bias Estimation of Tandem-X Dems Over Ice Sheets

Becker Campos, Alexandre and Diez Latteur, Antoine and Bueso Bello, Jose Luis and Braun, Matthias and Rizzoli, Paola (2026) A Snow Properties-Aware Deep Learning Framework for Penetration Bias Estimation of Tandem-X Dems Over Ice Sheets. Remote Sensing of Environment. Elsevier. ISSN 0034-4257.

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Item URL in elib:https://elib.dlr.de/218650/
Document Type:Article
Title:A Snow Properties-Aware Deep Learning Framework for Penetration Bias Estimation of Tandem-X Dems Over Ice Sheets
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Becker Campos, Alexandrealexandre.campos (at) dlr.deUNSPECIFIEDUNSPECIFIED
Diez Latteur, Antoineantoine.diezlatteur (at) dlr.deUNSPECIFIEDUNSPECIFIED
Bueso Bello, Jose LuisJose-Luis.Bueso-Bello (at) dlr.dehttps://orcid.org/0000-0003-3464-2186UNSPECIFIED
Braun, MatthiasFriedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, GermanyUNSPECIFIEDUNSPECIFIED
Rizzoli, PaolaPaola.Rizzoli (at) dlr.dehttps://orcid.org/0000-0001-9118-2732UNSPECIFIED
Date:2026
Journal or Publication Title:Remote Sensing of Environment
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Publisher:Elsevier
ISSN:0034-4257
Status:Accepted
Keywords:Deep learning, Greenland Ice Sheet, multitask learning, penetration bias, SAR, snow facies, TanDEM-X
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 - AI4SAR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Spaceborne SAR Systems
Deposited By: Becker Campos, Alexandre
Deposited On:12 Nov 2025 13:49
Last Modified:14 Jan 2026 13:50

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