Global offshore wind farm dataset

This dataset including two contents. One part is the global offshore wind farm dataset constructed by us, which provide geocoded information on global offshore wind farms (OWFs) 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 OWFs are stored in Shapefile (.shp) format. The attributes and metadata are organized with referenced to the WGS84 datum, and each record consists of eight attributes: identifier (owf_id), 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电场数据集，该数据集基于2015至2019年的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场（Offshore Wind Farms, OWFs）的地理编码信息，共识别出覆盖10余个国家的6924台风力发电机组。该数据集空间分辨率达10米，可为海洋空间规划、监测与管理提供精准详实的基础数据。全球海上风电场数据以Shapefile（.shp）格式存储，其属性与元数据基于WGS84大地基准面组织，每条记录包含8项属性：风电场标识符（owf_id）、质心纬度（centr_lat）、质心经度（centr_lon）、大洲、国家、海域（sea_area）、投运年份（occ_year）及投运月份（occ_month）。第二部分为我们生成的验证集，包含50个随机选取的海上风电场，覆盖2663台风力发电机组，验证工作采用三种方法开展：其一为高分辨率航空影像与谷歌影像（Google Images）；其二为多源数据集的交叉比对与佐证；其三为作者团队基于真彩色合成的Sentinel 2-MSI影像、Landsat 8-OLI影像，以及去除浮动或临时移动目标后的Sentinel 1影像开展的全面目视解译与内部复核。验证集以单风电场为单位，同样以Shapefile（.shp）格式存储，其属性与元数据基于WGS84大地基准面组织，每条记录包含3项属性：质心纬度（centr_lat）、质心经度（centr_lon）及国家。此外，本数据集附带了其中一类参考数据——去除浮动或临时移动目标后的Sentinel 1影像数据。