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Large scale forest parameter estimation through a deep learning-based fusion of Sentienl-2 and TanDEM-X data

Carcereri, Daniel and Rizzoli, Paola and Ienco, Dino and Bueso Bello, Jose Luis and Gonzalez, Carolina and Puliti, Stefano and Bruzzone, Lorenzo (2022) Large scale forest parameter estimation through a deep learning-based fusion of Sentienl-2 and TanDEM-X data. In: 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022-07-17 - 2022-07-22, Kuala Lumpur, Malaysia. doi: 10.1109/IGARSS46834.2022.9884872. ISBN 978-166542792-0.

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Item URL in elib:https://elib.dlr.de/191648/
Document Type:Conference or Workshop Item (Speech)
Title:Large scale forest parameter estimation through a deep learning-based fusion of Sentienl-2 and TanDEM-X data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Carcereri, DanielUNSPECIFIEDhttps://orcid.org/0000-0002-3956-1409UNSPECIFIED
Rizzoli, PaolaUNSPECIFIEDhttps://orcid.org/0000-0001-9118-2732UNSPECIFIED
Ienco, DinoUNSPECIFIEDhttps://orcid.org/0000-0002-8736-3132UNSPECIFIED
Bueso Bello, Jose LuisUNSPECIFIEDhttps://orcid.org/0000-0003-3464-2186UNSPECIFIED
Gonzalez, CarolinaUNSPECIFIEDhttps://orcid.org/0000-0002-9340-1887UNSPECIFIED
Puliti, StefanoUNSPECIFIEDhttps://orcid.org/0000-0003-4624-8987UNSPECIFIED
Bruzzone, LorenzoUNSPECIFIEDhttps://orcid.org/0000-0002-6036-459XUNSPECIFIED
Date:2022
Journal or Publication Title:2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1109/IGARSS46834.2022.9884872
ISBN:978-166542792-0
Status:Published
Keywords:deep learning; forest; regression; tandem-x; sentinel-2
Event Title:IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Event Location:Kuala Lumpur, Malaysia
Event Type:international Conference
Event Dates:2022-07-17 - 2022-07-22
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 - Support TerraSAR-X/TanDEM-X operations
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute
Microwaves and Radar Institute > Spaceborne SAR Systems
Deposited By: Carcereri, Daniel
Deposited On:05 Dec 2022 10:12
Last Modified:16 Nov 2023 12:18

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