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
- 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
- GEMET - INSPIRE themes, version 1.0
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- Habitats and Biotopes
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions Other restrictions
- 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
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- Biota
- Begin date
- 2020-09-09
- End date
- 2020-09-10
N
S
E
W
- Unique resource identifier
- WGS 84
- Distribution format
-
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TIFF
()
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TIFF
()
- OnLine resource
-
Download the data
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Supporting information
Supporting information available to assist in re-use of this dataset
- 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/
Overviews
Spatial extent
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W
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NERC Data Catalogue Service