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 (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: | 13 Jan 2023 17:35 |
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