Raster-based imagery and terrain variables with wetland/deepwater polygons for select areas in the Great Lakes region

Data was obtained from public sources to produce the aerial imagery, DEM, DEM-derived indices, and other raster variables. Please see that attached "DATA SOURCES & PREP METHODS.pdf" for more information. The shapefiles are comprised of polygons that represent wetland and deep-water classes drawn and attributed by experienced photo-interpreters and are similar to a National Wetlands Inventory (NWI; fws.gov/program/national-wetlands-inventory) product, though these have not been obtained from nor approved by the NWI Program, nor do they exist in the official NWI database. These data can be used for training and validating machine learning and other predictive models for wetland classification.本数据集所包含的航空影像、数字高程模型（Digital Elevation Model, DEM）、DEM衍生指数及其他栅格变量均来源于公开数据源。更多细节请参阅附件"DATA SOURCES & PREP METHODS.pdf"。 该数据集的Shapefile矢量文件由多边形要素构成，用于表征湿地与深水水体类别，由经验丰富的影像解译人员绘制并赋予属性。其成果与美国国家湿地名录（National Wetlands Inventory, NWI；fws.gov/program/national-wetlands-inventory）产品类似，但本数据并非取自NWI项目，亦未获得NWI项目的认可，同时未纳入官方NWI数据库。 本数据集可用于训练与验证湿地分类相关的机器学习及其他预测模型。