23d6a61c-c1cf-4c1b-a65c-f3fe42fc0e76 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 2025-11-21T11:11:19 UK GEMINI 2.3 WGS 84 Co-aligned hyperspectral and LiDAR data collected in drought-stressed European beech forest, Rhӧn Biosphere Reserve, Germany, 2020 2023-06-02 publication https://catalogue.ceh.ac.uk/id/23d6a61c-c1cf-4c1b-a65c-f3fe42fc0e76 10.5285/23d6a61c-c1cf-4c1b-a65c-f3fe42fc0e76 doi: Morley, P., Jump, A., Donoghue, D. (2023). Co-aligned hyperspectral and LiDAR data collected in drought-stressed European beech forest, Rhӧn Biosphere Reserve, Germany, 2020. NERC EDS Environmental Information Data Centre 10.5285/23d6a61c-c1cf-4c1b-a65c-f3fe42fc0e76 This dataset comprises co-aligned hyperspectral and LiDAR data collected of European beech (Fagus sylvatica) forest within core protected areas of the UNESCO Rhӧn Biosphere Reserve, Germany. Data was collected using the Headwall Hyperspec Nano sensor flown from a unmanned aerial vehicle (UAV) in September 2020. The dataset comprises image and LiDAR data of four sites, each approximately 8ha in size. 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 individual tree and stand level assessment of the response (canopy damage and defoliation) of European beech trees to extreme drought events. The hyperspectral images available in this dataset have approx. 5cm pixel size with an associated LiDAR dataset 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/10.5285/23d6a61c-c1cf-4c1b-a65c-f3fe42fc0e76 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 Morley, P. University of Stirling p.j.morley@stir.ac.uk pointOfContact University of Stirling EMAIL NOT PROVIDED owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher Durham University EMAIL NOT PROVIDED owner Habitats and Biotopes theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication drought GEMET - Concepts, version 4.1.3 2019-01-28 creation Germany UAV Hyperspectral LiDAR Extreme Drought Canopy Condition European beech otherRestrictions Registration is required to access this data 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). Co-aligned hyperspectral and LiDAR data collected in drought-stressed European beech forest, Rhӧn Biosphere Reserve, Germany, 2020. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/23d6a61c-c1cf-4c1b-a65c-f3fe42fc0e76 grid 0.1 English utf8 biota 2020-09-01 2020-09-30 10.082 10.116 50.466 50.508 las TIFF NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/sd/23d6a61c-c1cf-4c1b-a65c-f3fe42fc0e76.zip Supporting information Supporting information available to assist in re-use of this dataset information https://catalogue.ceh.ac.uk/datastore/eidchub/23d6a61c-c1cf-4c1b-a65c-f3fe42fc0e76 Download the data Download a copy of this data fileAccess 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 Hyperspectral data were collected and have been processed to surface reflectance data and orthorectified by the NERC Field Spectroscopy Facility. The Facility has also cleaned the lidar data files to remove random points above the canopy.