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本数据集包含4幅于2020年9月采集的RGB波段无人机（unmanned aerial vehicle, UAV）影像，拍摄区域为德国联合国教科文组织雷翁（Rhön）生物圈保护区核心保护地内的欧洲山毛榉（Fagus sylvatica）林。该研究林分曾经历2018/2019年影响中欧的极端干旱事件，本项目旨在采集数据以分析欧洲山毛榉个体与林分水平对极端干旱事件的响应，包括冠层损伤与落叶情况。本数据集提供的RGB影像像素分辨率约为3厘米，配套有像素分辨率10厘米的数字高程模型（digital elevation model, DEM），可用于识别森林内单株树木及林分所遭受的冠层损伤程度，包括落叶、变色与枯死情况。本研究得到英国自然环境研究委员会（资助编号NE/V00929X/1）支持。有关本数据集的完整详情可访问https://doi.org/10.5285/b2d17962-3c7f-4193-a180-cde885d1a83e查询。