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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

Simple

Date (Publication)
2023-05-05
Identifier
https://catalogue.ceh.ac.uk/id/b2d17962-3c7f-4193-a180-cde885d1a83e
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
Author
  University of Stirling - Morley, P.
https://orcid.org/0000-0002-7503-2520
Author
  University of Stirling - Jump, A.
https://orcid.org/0000-0002-2167-6451
Author
  Durham University - Donoghue, D.
https://orcid.org/0000-0002-9931-9083
Owner
  University of Stirling
Owner
  Durham University
Point of contact
  University of Stirling - Morley, P.
Custodian
  NERC EDS Environmental Information Data Centre
Publisher
  NERC EDS Environmental Information Data Centre
GEMET - INSPIRE themes, version 1.0
  • Habitats and Biotopes
Access constraints
otherRestrictions Other restrictions
Other constraints
no limitations
Use constraints
otherRestrictions Other restrictions
Other constraints
This resource is available under the terms of the Open Government Licence
Use constraints
otherRestrictions 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 Grid
Distance
0.1  urn:ogc:def:uom:EPSG::9001
Distance
0.03  urn:ogc:def:uom:EPSG::9001
Metadata language
EnglishEnglish
Character set
utf8 UTF8
Topic category
  • Biota
Begin date
2020-09-09
End date
2020-09-10
N
S
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W
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Unique resource identifier
WGS 84
Distribution format
  • TIFF ()

Distributor
  NERC EDS Environmental Information Data Centre
OnLine resource
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Supporting information

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Hierarchy level
dataset Dataset
Other
dataset

Conformance result

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.
File identifier
b2d17962-3c7f-4193-a180-cde885d1a83e XML
Metadata language
EnglishEnglish
Character set
ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
Hierarchy level
dataset Dataset
Hierarchy level name
dataset
Date stamp
2025-06-03T07:41:36
Metadata standard name
UK GEMINI
Metadata standard version
2.3
Point of contact
  NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK
https://eidc.ac.uk/
 
 

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Keywords

GEMET - INSPIRE themes, version 1.0
Habitats and Biotopes

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