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Unmanned aerial vehicle images of drought-stressed European beech forests in the Rhӧn Biosphere Reserve, Germany, 2020

Publisher
Environmental Information Data Centre
Updated
18 September 2026
Topic
Not set
Licence
Not set

Summary

This dataset comprises four RGB unmanned aerial vehicle (UAV) images collected in September 2020 of European beech (Fagus sylvatica) forest within core protected areas of the UNESCO Rhӧn Biosphere Reserve, Germany. The study forests were subject to the extreme drought event that impacted central Europe in 2018/2019 and this project sought to collect data to enable the analysis of individual tree and stand level response (canopy damage and defoliation) of European beech trees to extreme drought events. The RGB images available in this dataset have approx. 3cm pixel size with an associated 10cm pixel digital elevation model (DEM) and are suitable for identifying individual trees and the degree of canopy damage (defoliation, discolouration, and mortality) sustained by individuals/stands within the forest. The work was supported by the Natural Environment Research Council (Grant NE/V00929X/1). Full details about this dataset can be found at https://doi.org/10.5285/b2d17962-3c7f-4193-a180-cde885d1a83e

Data links

Link Format Preview Updated
Supporting information ZIP – 18/9/2026
Download the data – 18/9/2026

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Additional information

Source Metadata
XML, HTML
Date added
15 September 2026
Harvest GUID
b2d17962-3c7f-4193-a180-cde885d1a83e
Extent (Latitude)
50.508° to 50.466°
Extent (Longitude)
10.082° to 10.116°
Dataset reference date (publication)
2023-05-05
Access constraints
If you reuse this data, you should cite: Morley, P., Jump, A., Donoghue, D. (2023). Unmanned aerial vehicle images of drought-stressed European beech forests in the Rhӧn Biosphere Reserve, Germany, 2020. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/b2d17962-3c7f-4193-a180-cde885d1a83e
Responsible party
(author, pointOfContact, publisher, custodian); University of Stirling (owner); Durham University (owner)
ISO 19139 resource type
dataset
Metadata language
eng