A spatially-explicit database of wind disturbances in European forests over the period 2000-2018
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We present a database of wind disturbances in European forests (FORWIND). The data set corresponds the data presented in the paper “A spatially-explicit database of wind disturbances in European forests over the period 2000-2018” which has been submitted to Earth System Science Data (https://www.earth-system-science-data.net/).FORWIND comprises more than 80,000 spatially delineated areas in Europe that were disturbed by wind in the period 2000-2018, and describes them in a harmonized and consistent geographical vector format. The FORWIND dataset contains records as polygon features in shapefile format (.shp). The geometry of a feature is stored as a shape comprising a set of vector coordinates corresponding to the boundaries of the area of a given wind disturbance. Records are georeferenced in geographical coordinates, i.e. latitude and longitude, following the WGS84 standard (EPSG:4326). Basic attributes of each disturbance are provided in an associated table, stored in a .dbf file and include: * identifier code (Id_poly)* date of event (EventDate) * storm name (StormName)* type of event (EventType) * country (Country)* area affected [in hectares] (Area)* perimeter [in meters] (Perimeter) * damage degree [in %] (Damage_deg)* acquisition method (Methods)* data provider (Dataprovid)* source (Source) Missing data are reported as -999. Correspondence to: Giovanni Forzieri (giovanni.forzieri@ec.europa.eu)
本研究发布一款欧洲森林风灾扰动数据库(FORWIND)。该数据集对应发表于论文《2000-2018年欧洲森林风灾扰动空间显式数据库》的研究数据,该论文已提交至《地球系统科学数据(Earth System Science Data)》期刊(官网链接:https://www.earth-system-science-data.net/)。 FORWIND包含2000至2018年间欧洲境内共计8万余处经空间划定的风灾扰动区域,并以统一规范的地理矢量格式对这些区域进行描述。 FORWIND数据集以形状文件(shapefile)格式存储多边形要素记录,文件格式后缀为.shp。 每个要素的几何形态以矢量坐标集合的形式存储,对应特定风灾扰动区域的边界轮廓。 所有记录均采用地理坐标(即纬度与经度)进行地理配准,遵循WGS84坐标系标准(EPSG:4326)。 每个风灾扰动事件的基础属性存储于关联的.dbf属性表中,具体字段包括:* 标识码(Id_poly)* 事件发生日期(EventDate)* 风暴名称(StormName)* 事件类型(EventType)* 所属国家(Country)* 受影响面积(单位:公顷,Area)* 边界周长(单位:米,Perimeter)* 受灾程度(百分比,Damage_deg)* 数据获取方式(Methods)* 数据提供方(Dataprovid)* 数据来源(Source)。缺失数据以-999标记。 通讯作者:Giovanni Forzieri(邮箱:giovanni.forzieri@ec.europa.eu)



