A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra: Supporting Data

Remote sensing data collected from Brookhaven National Laboratory's (BNL) heavy-lift unoccupied aerial system (UAS) octocopter platform - the Osprey - operated by the Terrestrial Ecosystem Science and Technology (TEST) group. Data was collected from a single flight over the Kougarok hillslope site on 26 July, 2018. The Osprey is a multi-sensor UAS platform that simultaneously measures very high spatial resolution optical red/green/blue (RGB) and thermal infrared (TIR) surface "skin" temperature imagery, as well as surface reflectance at 1nm intervals in the visible to near-infrared spectral range from ~350-1000 nm measured at regular intervals along each flight path. Derived image products include ortho-mosaiced RGB and TIR images, an RGB-based digital surface model (DSM) using the structure from motion (SfM) technique, digital terrain model (DTM), and a canopy height model. Ancillary aircraft data, flight mission parameters, and general flight conditions are also included. This dataset includes *.pdf, *.txt, *.tif, *.dat, and *.csv with most zipped in *.tar.gz files. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).本数据集为美国布鲁克海文国家实验室（Brookhaven National Laboratory，BNL）陆地生态系统科学与技术（Terrestrial Ecosystem Science and Technology，TEST）团队操作的“鱼鹰”（Osprey）重型八旋翼无人航空系统（unoccupied aerial system，UAS）采集的遥感数据。数据采集于2018年7月26日，单次飞行覆盖库加罗克（Kougarok）山坡站点。 “鱼鹰”为多传感器无人航空系统平台，可同步获取超高空间分辨率的可见光红/绿/蓝（RGB）与热红外（thermal infrared，TIR）地表“表皮”温度影像，同时沿飞行路径定期采集350~1000 nm可见光至近红外波段、间隔1 nm的地表反射率数据。 衍生影像产品包括正射拼接的RGB与TIR影像、基于运动恢复结构（structure from motion，SfM）技术的RGB数字表面模型（digital surface model，DSM）、数字地形模型（digital terrain model，DTM）以及冠层高度模型。 本数据集还包含辅助飞行器数据、飞行任务参数与常规飞行状态信息，涵盖*.pdf、*.txt、*.tif、*.dat与*.csv格式文件，多数文件以*.tar.gz格式打包压缩。 本数据集隶属于下一代生态系统实验：北极（Next-Generation Ecosystem Experiments: Arctic，NGEE Arctic）项目，该项目旨在通过构建富碳北极生态系统的预测性认知与气候反馈机制，降低地球系统模型的不确定性。NGEE Arctic由美国能源部生物与环境研究办公室资助。 NGEE Arctic项目设有两处野外研究站点：1）位于阿拉斯加州乌特恰维克（旧称巴罗）附近北坡的巴罗环境观测站（Barrow Environmental Observatory，BEO）北极多边形苔原沿海区域；2）阿拉斯加州诺姆以北苏华德半岛不连续多年冻土区的多处区域。 通过观测、实验与现有数据集综合分析，NGEE Arctic为多尺度建模提供了增强型知识库，并助力美国能源部地球系统模型——能源极端尺度地球系统模型（Energy Exascale Earth System Model，E3SM），尤其是其陆面模型组件（E3SM陆面模型，ELM）在全球泛北极尺度下的过程表征精度提升。