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Amazon Rainforest Monitoring with TanDEM-X and Deep Learning Strategies

Bueso Bello, Jose Luis and Carcereri, Daniel and Rizzoli, Paola (2022) Amazon Rainforest Monitoring with TanDEM-X and Deep Learning Strategies. In: ESA Living Planet Symposium 2022. ESA Living Planet Symposium, 2022-05-23 - 2022-05-27, Bonn, Germany.

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Item URL in elib:https://elib.dlr.de/186252/
Document Type:Conference or Workshop Item (Poster)
Title:Amazon Rainforest Monitoring with TanDEM-X and Deep Learning Strategies
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Bueso Bello, Jose LuisUNSPECIFIEDhttps://orcid.org/0000-0003-3464-2186
Carcereri, DanielUNSPECIFIEDhttps://orcid.org/0000-0002-3956-1409
Rizzoli, PaolaUNSPECIFIEDhttps://orcid.org/0000-0001-9118-2732
Date:May 2022
Journal or Publication Title:ESA Living Planet Symposium 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, rainforest, tropical forest, forest mapping, deforestation monitoring, deep learning, convolutional neural network
Event Title:ESA Living Planet Symposium
Event Location:Bonn, Germany
Event Type:international Conference
Event Dates:2022-05-23 - 2022-05-27
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 14:59
Last Modified:13 Jan 2023 17:35

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