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Sachse, Alina (2024) Forest height estimation using deep learning over the Savanna ecosystem of the Kruger National Park. Master's, Friedrich-Schiller-Universität Jena.
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| Item URL in elib: | https://elib.dlr.de/199645/ | ||||||||
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| Document Type: | Thesis (Master's) | ||||||||
| Title: | Forest height estimation using deep learning over the Savanna ecosystem of the Kruger National Park | ||||||||
| Authors: |
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| Date: | 3 June 2024 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | sar, interferometry, deep learning, forestry, savanna | ||||||||
| Institution: | Friedrich-Schiller-Universität Jena | ||||||||
| Department: | Chemisch-Geowissenschaftliche Fakultät | ||||||||
| 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 - AI4SAR | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Microwaves and Radar Institute Microwaves and Radar Institute > Spaceborne SAR Systems | ||||||||
| Deposited By: | Carcereri, Daniel | ||||||||
| Deposited On: | 27 Nov 2023 09:52 | ||||||||
| Last Modified: | 12 Dec 2024 23:38 |
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