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
dataset
https://catalogue.ceh.ac.uk/datastore/eidchub/b2d17962-3c7f-4193-a180-cde885d1a83e
name: Download the data
description: Download a copy of this data
function: download
https://data-package.ceh.ac.uk/sd/b2d17962-3c7f-4193-a180-cde885d1a83e.zip
name: Supporting information
description: Supporting information available to assist in re-use of this dataset
function: information
https://catalogue.ceh.ac.uk/id/b2d17962-3c7f-4193-a180-cde885d1a83e
doi:
eng
biota
Habitats and Biotopes
publication
2008-06-01
10.082
10.116
50.508
50.466
2020-09-09
2020-09-10
publication
2023-05-05
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.
publication
2010-12-08
TIFF
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
University of Stirling
https://orcid.org/0000-0002-7503-2520
name: ORCID record
description: ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
function: information
author
University of Stirling
https://orcid.org/0000-0002-2167-6451
name: ORCID record
description: ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
function: information
author
Durham University
https://orcid.org/0000-0002-9931-9083
name: ORCID record
description: ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
function: information
author
University of Stirling
owner
Durham University
owner
University of Stirling
pointOfContact
custodian
publisher
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
name: EIDC website
description: The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.
function: information
pointOfContact
2024-02-27T16:18:05