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).本数据集基于合成孔径雷达（Synthetic Aperture Radar, SAR）船舶探测数据与船舶自动识别系统（Automatic Identification System, AIS）数据构建，旨在对公开AIS数据不可获取的区域开展拖网捕捞强度与分布预测，相关研究详见https://doi.org/10.1093/icesjms/fsae153。本研究通过处理SAR数据，并引入广义可加模型（General Additive Model）校正空间与时间自相关性，建立了SAR船舶探测数据与AIS捕捞活动间的统计关联关系。最终生成的数据集提供了地中海海域2017-2021年拖网捕捞活动的空间显式估计（分辨率为0.2十进制度），以总捕捞小时数为统计指标，涵盖西西里海峡、亚得里亚海、爱琴海东部及尼罗河三角洲外黎凡特海等历史拖网捕捞压力较高的海域。该预测结果为此前难以获取的捕捞活动研究提供了全新视角。本数据集附带的形状文件采用WGS1984坐标系（"+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"），为规则网格格式，包含两个字段："hours"（2017-2021五年期总捕捞小时数）与"se"（对应的标准误）。