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

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

Date (Publication): 2023-05-05

Citation identifier: https://catalogue.ceh.ac.uk/id/b2d17962-3c7f-4193-a180-cde885d1a83e

Citation identifier: doi: / 10.5285/b2d17962-3c7f-4193-a180-cde885d1a83e

Other citation details: 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 10.5285/b2d17962-3c7f-4193-a180-cde885d1a83e

Point of contact

Organisation name	Individual name	Electronic mail address	Role
University of Stirling	Morley, P.	p.j.morley@stir.ac.uk	Author
University of Stirling	Jump, A.	a.s.jump@stir.ac.uk	Author
Durham University	Donoghue, D.	danny.donoghue@durham.ac.uk	Author
University of Stirling		EMAIL NOT PROVIDED	Owner
Durham University		EMAIL NOT PROVIDED	Owner
University of Stirling	Morley, P.	p.j.morley@stir.ac.uk	Point of contact
NERC EDS Environmental Information Data Centre		info@eidc.ac.uk	Custodian
NERC EDS Environmental Information Data Centre		info@eidc.ac.uk	Publisher

GEMET - INSPIRE themes, version 1.0

Habitats and Biotopes

Keywords

Germany
Forest Health
UAV
RGB
Canopy Condition
Extreme Drought

Access constraints: Other restrictions

Other constraints: no limitations

Use constraints: Other restrictions

Other constraints: This resource is available under the terms of the Open Government Licence

Use constraints: Other restrictions

Other 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

Spatial representation type: Grid

Distance: 0.1 urn:ogc:def:uom:EPSG::9001

Distance: 0.03 urn:ogc:def:uom:EPSG::9001

Language: English

Character set: UTF8

Topic category

Biota

Begin date: 2020-09-09

End date: 2020-09-10

Unique resource identifier: WGS 84

Distribution format

Name	Version
TIFF

Distributor contact

Organisation name	Individual name	Electronic mail address	Role
NERC EDS Environmental Information Data Centre		info@eidc.ac.uk	Distributor

OnLine resource

Protocol	Linkage	Name
	https://catalogue.ceh.ac.uk/datastore/eidchub/b2d17962-3c7f-4193-a180-cde885d1a83e	Download the data

OnLine resource

Protocol	Linkage	Name
	https://data-package.ceh.ac.uk/sd/b2d17962-3c7f-4193-a180-cde885d1a83e.zip	Supporting information

Hierarchy level: Dataset

Other: dataset

Conformance result

Title: Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication): 2010-12-08

Statement: 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.

Metadata

File identifier: b2d17962-3c7f-4193-a180-cde885d1a83e XML

Metadata language: English

Character set: 8859 Part 1

Hierarchy level: Dataset

Hierarchy level name: dataset

Date stamp: 2025-11-13T16:26:26

Metadata standard name: UK GEMINI

Metadata standard version: 2.3

Metadata author

Organisation name	Individual name	Electronic mail address	Role
NERC EDS Environmental Information Data Centre		info@eidc.ac.uk	Point of contact

Overviews

Spatial extent

Provided by

Access to the catalogue

Read here the full details and access to the data.

Simple

Conformance result

Metadata

Overviews

Spatial extent

Keywords

Provided by

Share on social sites