Geospatial data needed to map groundwater recharge areas in high latitude landscapes.

This project consists of 11 files: 1) a zipped folder with a geodatabase containing seven raster files and two shapefiles, 2) a zipped folder containing the same layers found in the geodatabase, but as standalone files, 3) 9 .xml files containing the metadata for the spatial datasets in the zipped folders. These datasets were generated in ArcPro 3.0.3. (ESRI). Six raster files (drainaged, geology, nlcd, precipitation, slope, solitexture) present spatially distributed information, ranked according to the relative importance of each class for groundwater recharge. The scale used for these datasets is 1-9, where low scale values are assigned to datasets with low relative importance for groundwater recharge, while high scale values are assigned to datasets with high relative importance for groundwater recharge. The seventh raster file contains the groundwater recharge potential map for the Anchor River Watershed. This map was calculated using the six raster datasets mentioned previously. Here, the values assigned represent Very Low to Very High groundwater recharge potential (scale 1 - 5, 1 being Very Low and 5 being Very High). Finally, the two shapefiles represent the groundwater wells and the polygons used for model validation. This data is part of the manuscript titled: Mapping Groundwater Recharge Potential in High Latitude Landscapes using Public Data, Remote Sensing, and Analytic Hierarchy Process, published in the journal remote sensing.本项目共包含11个文件：1）一个内含地理数据库（geodatabase）的压缩文件夹，该地理数据库包含7个栅格文件与2个形状文件（shapefile）；2）一个压缩文件夹，其中收录了与上述地理数据库完全一致的图层，但以独立文件格式存储；3）9个.xml格式文件，用于存储前述压缩文件夹中空间数据集的元数据。所有数据集均基于ArcPro 3.0.3（ESRI）生成。其中6个栅格文件（分别为drainaged、geology、nlcd、precipitation、slope、solitexture）携带空间分布属性信息，其等级依据各要素类别对地下水补给的相对重要性进行划分，采用1-9的评分标尺：评分较低的数据集对应地下水补给相对重要性较低的类别，评分较高的数据集则对应地下水补给相对重要性较高的类别。第七个栅格文件为锚河流域（Anchor River Watershed）的地下水补给潜力分布图，该图基于前述6个栅格数据集计算得到，其数值代表地下水补给潜力从极低到极高的分级（采用1-5的尺度，1代表极低，5代表极高）。最后两个形状文件分别对应地下水井点位与模型验证所用的多边形矢量要素。本数据集隶属于发表于《Remote Sensing》期刊的学术论文，论文标题为《利用公共数据、遥感技术与层次分析法（Analytic Hierarchy Process）绘制高纬度景观地下水补给潜力图》。