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Tropical Forests Mapping with TanDEM-X and Deep Learning Methods

Bueso Bello, Jose Luis and Carcereri, Daniel and Martone, Michele and Gonzalez, Carolina and Rizzoli, Paola (2022) Tropical Forests Mapping with TanDEM-X and Deep Learning Methods. In: 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022. International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia. doi: 10.1109/IGARSS46834.2022.9883995. ISBN 978-166542792-0.

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Item URL in elib:https://elib.dlr.de/186255/
Document Type:Conference or Workshop Item (Speech, Poster)
Title:Tropical Forests Mapping with TanDEM-X and Deep Learning Methods
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Bueso Bello, Jose LuisUNSPECIFIEDhttps://orcid.org/0000-0003-3464-2186UNSPECIFIED
Carcereri, DanielUNSPECIFIEDhttps://orcid.org/0000-0002-3956-1409UNSPECIFIED
Martone, MicheleUNSPECIFIEDhttps://orcid.org/0000-0002-4601-6599UNSPECIFIED
Gonzalez, CarolinaUNSPECIFIEDhttps://orcid.org/0000-0002-9340-1887UNSPECIFIED
Rizzoli, PaolaUNSPECIFIEDhttps://orcid.org/0000-0001-9118-2732UNSPECIFIED
Date:July 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:No
DOI:10.1109/IGARSS46834.2022.9883995
ISBN:978-166542792-0
Status:Published
Keywords:Synthetic Aperture Radar, TanDEM-X, Amazon, forest mapping, deforestation monitoring, deep learning, convolutional neural network
Event Title:International Geoscience and Remote Sensing Symposium (IGARSS)
Event Location:Kuala Lumpur, Malaysia
Event Type:international Conference
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: Bueso Bello, Jose Luis
Deposited On:02 May 2022 15:00
Last Modified:17 Jul 2023 11:39

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