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。其一为我们构建的全球海上风力发电机组（Offshore Wind Turbines, OWTs）数据集：该数据集基于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塔架的地理编码信息，共识别出覆盖10余个国家的6924台风力发电机组。本数据空间分辨率为10米，可为海洋空间规划、监测与管理提供明晰的数据集支撑。全球海上风电塔架数据以Shapefile（.shp）格式存储，属性信息与元数据均基于WGS84大地基准面（WGS84 datum）组织，每条记录包含7项属性：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）与投运月份（occ_month）。
其二为我们生成的验证集：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，采用三种方式开展验证。参考数据包括：(1) 高分辨率航空影像与谷歌影像；(2) 多源数据集的比对与佐证；(3) 作者团队基于真彩色合成的哨兵2号多光谱成像仪（Sentinel 2-MSI）数据、陆地卫星8号陆地成像仪（Landsat 8-OLI）影像，以及经浮动/临时移动目标移除后的哨兵1号数据，开展的全面目视解译与内部深度复核。每个风电场的验证集数据均以Shapefile（.shp）格式存储，属性信息与元数据基于WGS84大地基准面（WGS84 datum）组织，每条记录包含3项属性：质心纬度（centr_lat）、质心经度（centr_lon）与国家。此外，还附带了其中一项参考数据——经浮动/临时移动目标移除后的哨兵1号数据。