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/ | ||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech, Poster) | ||||||||||||||||
Title: | Amazon Rainforest Monitoring with TanDEM-X and Deep Learning Strategies | ||||||||||||||||
Authors: |
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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: | 06 Mar 2023 15:08 |
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