Project
Study on the use of UAVs in forest monitoring
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Study on the use of UAVs in forest monitoring
The use of UAV for forest monitoring is of great interest to various forestry-related research institutes on an international level. Due to the high costs and limited resolution of aerial imagery derived from satellite and manned-aircraft platforms as well as costly Laser Scanning acquisition methods, UAV photogrammetry provides a cost-effective alternative and enables institutions to acquire data at a high spatial and temporal data entirely in-house. Although cost-effective, the process of acquiring and processing data, in particular for the production of high quality photogrammetric points and multispectral imagery still requires further research especially when a low-cost system (< 30,000 EUR) is implemented.
Background and Objective
Potential outcomes of study:
- Tree Geometries (e.g. individual tree height)
- Automatic Tree stem positioning
- Tree top position and stem position comparison
- Gap coverage
- Cost-effective data acquisition workflow competitive to field methods (also large scale)
- Enhanced possibilities for long term monitoring (all data sets can be processed in the same way retroactively)
- Automized workflow for large scale acquisition
- Field Manual
Approach
At the Lysimeter station in Britz different options of UAV use is tested and the results are compared with terrestrial assessments.
Thünen-Contact
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Involved Thünen-Partners
Involved external Thünen-Partners
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Hochschule für nachhaltige Entwicklung Eberswalde (HNEE)
(Eberswalde, Deutschland)
Duration
10.2017 - 10.2020
More Information
Project status:
finished
Publications
- 0
Krause S, Sanders TGM (2024) European beech spring phenological phase prediction with UAV-derived multispectral indices and machine learning regression. Sci Rep 14:15862, DOI:10.1038/s41598-024-66338-w
- 1
Reder S, Mund J-P, Albert N, Stadelmann C, Miranda L, Waßermann L (2021) Detektion von windgeworfenen Baumstämmen auf UAV-Orthomosaiken mit Hilfe von Neuronalen Netzen. In: FowiTa : Forstwissenschaftliche Tagung - Wald: Wie weiter? ; Book of abstracts, 13. bis 15. September 2021. p 220
- 2
Krause S (2019) Aerial and terrestrial photogrammetric point cloud fusion for intensive forest monitoring. GI Forum 7(2):60-72, DOI:10.1553/giscience2019_02_s60
- 3
Krause S, Strer M, Mund J-P, Sanders TGM (2019) UAV remote sensing data handling: A transition from testing to long-term data acquisition for intensive forest monitoring. J Photogramm Remote Sensing Geoinf Sci 28(39):167-174
- 4
Krause S, Sanders TGM, Mund J-P, Greve K (2019) UAV-based photogrammetric tree height measurement for intensive forest monitoring. Remote Sensing 11(7):758, DOI:10.3390/rs11070758