b2d17962-3c7f-4193-a180-cde885d1a83e English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:26:26 UK GEMINI 2.3 WGS 84 Unmanned aerial vehicle images of drought-stressed European beech forests in the Rhӧn Biosphere Reserve, Germany, 2020 2023-05-05 publication https://catalogue.ceh.ac.uk/id/b2d17962-3c7f-4193-a180-cde885d1a83e 10.5285/b2d17962-3c7f-4193-a180-cde885d1a83e doi: 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 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 Morley, P. University of Stirling p.j.morley@stir.ac.uk https://orcid.org/0000-0002-7503-2520 ORCID record 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. information author Jump, A. University of Stirling a.s.jump@stir.ac.uk https://orcid.org/0000-0002-2167-6451 ORCID record 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. information author Donoghue, D. Durham University danny.donoghue@durham.ac.uk https://orcid.org/0000-0002-9931-9083 ORCID record 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. information author University of Stirling EMAIL NOT PROVIDED owner Durham University EMAIL NOT PROVIDED owner Morley, P. University of Stirling p.j.morley@stir.ac.uk pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher Habitats and Biotopes theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Germany Forest Health UAV RGB Canopy Condition Extreme Drought otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions 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 grid 0.1 0.03 English utf8 biota 2020-09-09 2020-09-10 10.082 10.116 50.466 50.508 TIFF NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://catalogue.ceh.ac.uk/datastore/eidchub/b2d17962-3c7f-4193-a180-cde885d1a83e Download the data Download a copy of this data fileAccess https://data-package.ceh.ac.uk/sd/b2d17962-3c7f-4193-a180-cde885d1a83e.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset 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 2010-12-08 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.