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Zygar, Cornelia and Huth, Juliane (2024) Remote sensing-based Plantation Forest Mapping in the Central Highlands of Vietnam: A Deep Learning Approach. 44. Wissenschaftlich-Technische Jahrestagung der DGPF e.V., 2024-03-13 - 2024-03-14, Remagen, Deutschland. ISSN 0942-2870.
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Official URL: https://www.dgpf.de/src/tagung/jt2024/start.html
| Item URL in elib: | https://elib.dlr.de/203273/ | ||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||
| Title: | Remote sensing-based Plantation Forest Mapping in the Central Highlands of Vietnam: A Deep Learning Approach | ||||||||||||
| Authors: |
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| Date: | 2024 | ||||||||||||
| Refereed publication: | Yes | ||||||||||||
| Open Access: | No | ||||||||||||
| Gold Open Access: | No | ||||||||||||
| In SCOPUS: | No | ||||||||||||
| In ISI Web of Science: | No | ||||||||||||
| Volume: | 32 | ||||||||||||
| Page Range: | pp. 51-57 | ||||||||||||
| Editors: |
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| Series Name: | Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e.V. | ||||||||||||
| ISSN: | 0942-2870 | ||||||||||||
| Status: | Published | ||||||||||||
| Keywords: | Long Short-Term Memory network (LSTM), Deep Learning, Sentinel-2, plantation forest, Vietnam | ||||||||||||
| Event Title: | 44. Wissenschaftlich-Technische Jahrestagung der DGPF e.V. | ||||||||||||
| Event Location: | Remagen, Deutschland | ||||||||||||
| Event Type: | national Conference | ||||||||||||
| Event Start Date: | 13 March 2024 | ||||||||||||
| Event End Date: | 14 March 2024 | ||||||||||||
| Organizer: | Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e.V. | ||||||||||||
| 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 - Remote Sensing and Geo Research, R - Geoscientific remote sensing and GIS methods | ||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||
| Institutes and Institutions: | German Remote Sensing Data Center > Land Surface Dynamics | ||||||||||||
| Deposited By: | Huth, Juliane | ||||||||||||
| Deposited On: | 06 May 2024 11:25 | ||||||||||||
| Last Modified: | 10 May 2024 09:09 |
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