SAR_based_Fishing_Activity_Mediterranean_Sea_Total_2017_2021

This dataset was generated using Synthetic Aperture Radar (SAR) vessel detections and Automatic Identification System (AIS) data to predict trawl fishing intensity and distribution in areas where public AIS data are unavailable (https://doi.org/10.1093/icesjms/fsae153). The study creates a statistical relationship between SAR vessel detections and AIS fishing activity by processing SAR data and using a General Additive Model to account for spatial and temporal autocorrelation. The resulting dataset provides spatially explicit estimates (resolution 0.2 decimal degrees) of trawler fishing activity across the Mediterranean, as total hours of fishing activity in the years 2017-2021, including areas with historically high trawling pressure, such as the Strait of Sicily, the Adriatic Sea, the eastern Aegean Sea, and the Levant Sea off the Nile delta. These predictions offer new insights into fishing activity that were previously unavailable. The shapefile represents a regular grid in WGS1984 ("+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0") with 2 fields: “hours” (total hours of fishing activity in the five-year period 2017-2021) and “se” (related standard error).

本数据集通过合成孔径雷达（SAR）船舶探测与自动识别系统（AIS）数据的结合生成，旨在预测公开展示的AIS数据不可用的区域内的拖网渔业强度与分布（https://doi.org/10.1093/icesjms/fsae153）。研究通过处理SAR数据，并利用广义加性模型来考虑空间和时间自相关性，建立了SAR船舶探测与AIS捕捞活动之间的统计关系。所得到的数据库提供了对地中海范围内拖网渔业活动的空间明确估计（分辨率为0.2十进制度），涵盖2017-2021年间总捕捞时长，包括历史上拖网压力较高的区域，如西西里海峡、亚得里亚海、东爱琴海以及尼罗河三角洲附近的黎凡特海。这些预测为先前难以获取的捕捞活动提供了新的见解。Shapefile以WGS1984坐标系（"+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"）表示一个规则网格，包含两个字段："hours"（2017-2021年五年期间的总捕捞时长）和"se"（相关的标准误差）。