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。
第一部分为我们自主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（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设施的地理编码信息，共识别出覆盖10余个国家的6924台风力发电机组。本数据集空间分辨率为10米，可为海洋空间规划、监测与管理提供详实准确的基础数据。全球海上风力发电机组数据以Shapefile（.shp）格式存储，属性信息与元数据基于WGS84坐标系组织，每条记录包含7个属性字段：质心纬度（centr_lat）、质心经度（centr_lon）、大洲、国家、海域（sea_area）、投用年份（occ_year）及投用月份（occ_month）。
第二部分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，涵盖2663台风力发电机组，通过三种方式完成验证。其参考数据包括：（1）高分辨率航空影像与谷歌影像；（2）多源数据集交叉比对与佐证；（3）作者团队基于真彩色合成的哨兵-2-MSI（Sentinel 2-Multispectral Instrument）数据、Landsat 8-OLI（陆地卫星8号-陆地成像仪）影像，以及去除浮动目标与临时移动目标后的哨兵-1数据开展的全面目视解译与深度内部复核。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坐标系组织，每条记录包含3个属性字段：质心纬度（centr_lat）、质心经度（centr_lon）及国家。此外，本验证集附带提供其中一项参考数据——去除浮动目标与临时移动目标后的哨兵-1数据。