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Forest Mapping with TanDEM-X and Deep Learning Methods

Bueso Bello, Jose Luis and Rizzoli, Paola and Zink, Manfred (2022) Forest Mapping with TanDEM-X and Deep Learning Methods. CARF Remote Sensing Workshop 2022, 2022-10-14. - 2022-10-15, Jülich, Germany.

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Item URL in elib:https://elib.dlr.de/190333/
Document Type:Conference or Workshop Item (Poster)
Title:Forest Mapping with TanDEM-X and Deep Learning Methods
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Bueso Bello, Jose LuisUNSPECIFIEDhttps://orcid.org/0000-0003-3464-2186
Rizzoli, PaolaUNSPECIFIEDhttps://orcid.org/0000-0001-9118-2732
Zink, ManfredUNSPECIFIEDhttps://orcid.org/0000-0002-4308-5636
Date:October 2022
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Synthetic Aperture Radar, TanDEM-X, Amazon, forest mapping, deforestation monitoring, deep learning, convolutional neural network
Event Title:CARF Remote Sensing Workshop 2022
Event Location:Jülich, Germany
Event Type:international Conference
Event Dates:2022-10-14. - 2022-10-15
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:21 Nov 2022 06:36
Last Modified:13 Jan 2023 16:09

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