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Country-Scale Mapping of Forest Parameters Using Deep Learning and TanDEM-X InSAR Data

Carcereri, Daniel and Rizzoli, Paola and Dell'Amore, Luca and Bueso Bello, Jose Luis and Ienco, Dino and Bruzzone, Lorenzo (2024) Country-Scale Mapping of Forest Parameters Using Deep Learning and TanDEM-X InSAR Data. In: International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024-07-07 - 2024-07-12, Athens, Greece.

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Item URL in elib:https://elib.dlr.de/204118/
Document Type:Conference or Workshop Item (Speech)
Title:Country-Scale Mapping of Forest Parameters Using Deep Learning and TanDEM-X InSAR 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
Dell'Amore, LucaUNSPECIFIEDhttps://orcid.org/0000-0002-6731-1300173105273
Bueso Bello, Jose LuisUNSPECIFIEDhttps://orcid.org/0000-0003-3464-2186UNSPECIFIED
Ienco, DinoUNSPECIFIEDhttps://orcid.org/0000-0002-8736-3132UNSPECIFIED
Bruzzone, LorenzoUNSPECIFIEDhttps://orcid.org/0000-0002-6036-459XUNSPECIFIED
Date:2024
Journal or Publication Title:International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Status:Published
Keywords:deep learning, forest parameter regression, canopy heigth, above-ground biomass, InSAR
Event Title:IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Event Location:Athens, Greece
Event Type:international Conference
Event Start Date:7 July 2024
Event End Date:12 July 2024
Organizer:IEEE
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
Microwaves and Radar Institute > Spaceborne SAR Systems
Deposited By: Carcereri, Daniel
Deposited On:15 May 2024 13:21
Last Modified:04 Dec 2024 17:06

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