Global offshore wind turbine dataset

This dataset including two contents. One part is the global offshore wind turbine dataset constructed by us, which provide geocoded information on global offshore wind turbines (OWTs) derived from Sentinel-1 synthetic aperture radar (SAR) time-series images from 2015 to 2019. It identified 6,924 wind turbines comprising of more than 10 nations. Data is available at 10 m spatial resolution, providing an explicit dataset for planning, monitoring, and managing marine space. The global OWTs are stored in Shapefile (.shp) format. The attributes and metadata are organized with referenced to the WGS84 datum, and each record consists of seven attributes: centroid latitude (centr_lat), centroid longitude (centr_lon), continent, country, sea area (sea_area), appearance year (occ_year) and month (occ_month).Another part is the validation set we generated that consisted of 50 random offshore wind farms, covering 2,663 wind turbines using three methods. Reference data include (1) the high-resolution aerial imagery and Google images, (2) the comparison and corroboration across multiple source datasets, and (3) a comprehensive visual examination and an extensive internal review by the authors using Sentinel 2-MSI data or Landsat 8-OLI imagery under true colour composition and Sentinel 1 data after floating or temporarily mobile object removal. The validation set is stored in the Shapefile (.shp) format for each wind farm. The attributes and metadata are organized with referenced to the WGS84 datum, and each record consists of three attributes: centroid latitude (centr_lat), centroid longitude (centr_lon) and country. Besides, one of the reference data, Sentinel 1 data after floating or temporarily mobile object removal, were attached.

本数据集包含两部分内容。第一部分为我们构建的全球海上风力发电机组（offshore wind turbines, OWTs）数据集，其基于2015至2019年哨兵1号（Sentinel-1）合成孔径雷达（synthetic aperture radar, SAR）时序影像，提取得到全球海上风电发电机组的地理编码信息。该数据集共识别出6924台风力发电机组，覆盖超过10个国家。数据空间分辨率为10米，可为海洋空间规划、监测与管理提供精准明晰的基础数据集。全球海上风电发电机组数据以形状文件（Shapefile, .shp）格式存储，属性与元数据基于WGS84坐标系组织，每条记录包含7个属性：质心纬度（centr_lat）、质心经度（centr_lon）、大洲、国家、海域（sea_area）、出现年份（occ_year）与出现月份（occ_month）。第二部分为我们构建的验证集，该验证集包含50个随机选取的海上风电场，覆盖2663台风力发电机组，并采用三种方法完成验证。参考数据包括：（1）高分辨率航空影像与谷歌影像；（2）多源数据集的交叉比对与佐证；（3）由作者团队使用哨兵2号多光谱仪器（Sentinel 2-MSI）数据或陆地卫星8号陆地成像仪（Landsat 8-OLI）真彩色合成影像，以及去除浮动或临时移动目标后的哨兵1号数据，开展的全面目视解译与内部深度复核。该验证集以单个风电场为单位，以形状文件（Shapefile, .shp）格式存储，属性与元数据基于WGS84坐标系组织，每条记录包含3个属性：质心纬度（centr_lat）、质心经度（centr_lon）与国家。此外，附带了其中一类参考数据——去除浮动或临时移动目标后的哨兵1号影像数据。