遇见数据集

Slope (10 percent)

收藏
ArcGIS Hub2026-08-26 更新2026-08-27 收录
官方服务:

资源简介:

Areas of land with slopes equal to or greater than 10 percent, derived from the 2019 Metro Lidar Project bare earth digital elevation model (DEM). The lidar data were acquired by NV5 and processed by GeoTerra, Inc. under contract to Metro. GeoTerra created a 3-foot bare earth DEM meeting USGS Quality Level 1 (QL1) standards with a vertical accuracy of less than or equal to 10 cm RMSE(z). The slope polygons were generated by Metro using ArcGIS Pro Spatial Analyst tools and custom Python (ArcPy) workflows. The same 2019 DEM used for the Contours (two foot interval) and Slope (25 Percent) datasets served as the source elevation model, ensuring consistency across all elevation-based layers. Date of last data update: 2019-08-31 This is official RLIS data. Contact Person: Franz Arend franz.arend@oregonmetro.gov Emailing the contact person listed above is the fastest way to get a response, but if you prefer to call, you can contact the Data Resource Center at 503-797-1742 and someone will return your call as soon as they are able. RLIS Metadata Viewer: https://gis.oregonmetro.gov/rlis-metadata/#/details/3858 Terms of Use: https://rlisdiscovery.oregonmetro.gov/pages/open-database-license

坡度大于等于10%的陆地区域数据集,源自2019年Metro激光雷达项目(Metro Lidar Project)的裸地数字高程模型(Digital Elevation Model, DEM)。该激光雷达数据由NV5采集,GeoTerra公司受Metro委托完成处理工作。GeoTerra制作了分辨率为3英尺的裸地数字高程模型,符合美国地质调查局(United States Geological Survey, USGS)质量等级1(Quality Level 1, QL1)标准,其垂直精度的均方根误差(Root Mean Square Error, RMSE)z值不超过10厘米。Metro借助ArcGIS Pro空间分析工具及自定义Python(ArcPy)工作流生成了坡度多边形矢量数据。本次数据集所使用的2019年DEM与等高线(2英尺间隔)、坡度(25%)数据集同源,确保了所有基于高程的图层间的一致性。最新数据更新日期:2019-08-31。本数据集为官方区域土地信息系统(Regional Land Information System, RLIS)数据。联系人:弗朗茨·阿伦德(Franz Arend),联系邮箱:franz.arend@oregonmetro.gov。通过上述联系人邮箱获取回复是最为快捷的途径;若您更倾向于致电咨询,可拨打数据资源中心电话503-797-1742,工作人员将尽快回电。RLIS元数据查看器:https://gis.oregonmetro.gov/rlis-metadata/#/details/3858 使用条款:https://rlisdiscovery.oregonmetro.gov/pages/open-database-license

创建时间:
2021-09-27
二维码
社区交流群
二维码
科研交流群
商业服务