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Ehrhardt, Paul (2025) Baumartenklassifikation anhand von UAV-RGB-LiDAR-Daten: Anwendung eines Random Forest und Identifizierung saisonal relevanter Metriken zur Differenzierung der Baumarten Pinus sylvestris, Picea abies und Betula pendula in Brandenburg und Sachsen, Deutschland. Master's, Friedrich-Schiller-Universität Jena.
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| Item URL in elib: | https://elib.dlr.de/212198/ | ||||||||
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| Document Type: | Thesis (Master's) | ||||||||
| Title: | Baumartenklassifikation anhand von UAV-RGB-LiDAR-Daten: Anwendung eines Random Forest und Identifizierung saisonal relevanter Metriken zur Differenzierung der Baumarten Pinus sylvestris, Picea abies und Betula pendula in Brandenburg und Sachsen, Deutschland | ||||||||
| Authors: |
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| Date: | 2025 | ||||||||
| Open Access: | No | ||||||||
| Number of Pages: | 102 | ||||||||
| Status: | Published | ||||||||
| Keywords: | UAV, LiDAR, Baumartklassifikation, Random Forest, Metriken, Feature relevance | ||||||||
| Institution: | Friedrich-Schiller-Universität Jena | ||||||||
| Department: | Datenanalyse und - Intelligenz | ||||||||
| 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 - Geoscientific remote sensing and GIS methods | ||||||||
| Location: | Jena | ||||||||
| Institutes and Institutions: | Institute of Data Science | ||||||||
| Deposited By: | Dubois, Clemence | ||||||||
| Deposited On: | 26 Feb 2025 13:43 | ||||||||
| Last Modified: | 24 Mar 2025 14:45 |
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