Zygar, Cornelia (2023) Remote sensing-based plantation forest mapping in the Central Highlands of Vietnam: A deep learning approach. Master's, Julius-Maximilians-Universität Würzburg.
Full text not available from this repository.
| Item URL in elib: | https://elib.dlr.de/195651/ | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Document Type: | Thesis (Master's) | ||||||||
| Title: | Remote sensing-based plantation forest mapping in the Central Highlands of Vietnam: A deep learning approach | ||||||||
| Authors: |
| ||||||||
| Date: | 28 April 2023 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | No | ||||||||
| Number of Pages: | 76 | ||||||||
| Status: | Published | ||||||||
| Keywords: | plantation forest mapping, deep-learning, LSTM, Vietnam | ||||||||
| Institution: | Julius-Maximilians-Universität Würzburg | ||||||||
| Department: | Earth Observation Research Hub | ||||||||
| 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: | 31 Jul 2023 11:28 | ||||||||
| Last Modified: | 31 Jul 2023 11:28 |
Repository Staff Only: item control page