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Cürten, Thomas (2025) Enhancing Semi-Automated Remote Sensing-Based Mapping of IDP/Refugee Camps at Médecins Sans Frontières: Integrating Geolocalized In-Situ Photos Using Python and FME for Improved Accuracy and Efficiency. Master's, Universität Bonn.
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| Item URL in elib: | https://elib.dlr.de/215472/ | ||||||||
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| Document Type: | Thesis (Master's) | ||||||||
| Title: | Enhancing Semi-Automated Remote Sensing-Based Mapping of IDP/Refugee Camps at Médecins Sans Frontières: Integrating Geolocalized In-Situ Photos Using Python and FME for Improved Accuracy and Efficiency | ||||||||
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| Date: | 2025 | ||||||||
| Open Access: | No | ||||||||
| Number of Pages: | 74 | ||||||||
| Status: | Published | ||||||||
| Keywords: | Mapping of IDP/Refugee Camps | ||||||||
| Institution: | Universität Bonn | ||||||||
| 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 | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | German Remote Sensing Data Center > Geo Risks and Civil Security | ||||||||
| Deposited By: | Geiß, Christian | ||||||||
| Deposited On: | 30 Jul 2025 12:38 | ||||||||
| Last Modified: | 30 Jul 2025 12:38 |
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