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Morley, P.; Jump, A.; Donoghue, D.

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

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This dataset is available under the terms of the Open Government Licence

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https://doi.org/10.5285/b2d17962-3c7f-4193-a180-cde885d1a83e
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).
Publication date: 2023-05-05
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More information

View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)

Format

TIFF

Spatial information

Study area
Spatial representation type
Raster
Spatial reference system
WGS 84

Temporal information

Temporal extent
2020-09-09    to    2020-09-10

Provenance & quality

The RGB UAV data and associated Digital Elevation Model were collected using a DJI Phantom 4 UAV. Individual images were processed by the NERC Field Spectroscopy Facility with the orthorectified mosaics made available.

Licensing and constraints

This dataset is available under the terms of the Open Government Licence

Cite this dataset as:
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

Correspondence/contact details

Morley, P.
University of Stirling
 p.j.morley@stir.ac.uk

Authors

Morley, P.
University of Stirling
Jump, A.
University of Stirling
Donoghue, D.
Durham University

Other contacts

Rights holders
University of Stirling, Durham University
Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
biota
INSPIRE theme
Habitats and Biotopes
Keywords
Canopy Condition , Extreme Drought , Forest Health , Germany , RGB , UAV
Funding
Natural Environment Research Council Award: NE/V00929X/1
Last updated
27 February 2024 16:18