U.S. Geological Survey Open-File Report 00-224
By Peter G. Chirico and Jack B. Epstein
U.S. Geological Survey Open-File Report 2000-224 consists of the Open-File Report document (as an Adobe Acrobat PDF),an ArcExplorer GIS project, and the ArcInfo export files and ArcView shapefiles required to produce a map of geology and topographic change. The Adobe Acrobat Reader software and ArcExplorer GIS viewer software are provided on this CD-ROM. In addition, this CD-ROM contains U.S. Geological Survey Factsheet FS-117-00 which briefly summarizes the topographic change analysis described in the Open-File Report.
U.S. Geological Survey Open-File Report 2004-1320
By Peter G. Chirico
The USGS collected the LIDAR data for the Paine Run Watershed study for the purpose of landform modeling, surficial geologic process mapping and for terrain representation. LIDAR data represents one method of developing very high resolution elevation models for terrain processing and classification. The process of automated terrain classification involves developing statistical signatures from the DEM for each type of surficial deposit and landform type. The signature will be a measure of several characteristics derived from the elevation data including slope, aspect, planform curvature, and profile curvature. The quality of the DEM is of critical importance when extracting terrain signatures. The highest possible horizontal and vertical accuracy is required.
U.S. Geological Survey Open-File Report 2004-1321
By Peter G. Chirico and Seth D. Tanner
The purpose of developing a new 10m resolution DEM of the Shenandoah National Park Region was to more accurately depict geologic structure, surfical geology, and landforms of the Shenandoah National Park Region in preparation for automated landform classification. Previously, only a 30m resolution DEM was available through the National Elevation Dataset (NED). During production of the Shenandoah10m DEM of the Park the Geography Discipline of the USGS completed a revised 10m DEM to be included into the NED. However, different methodologies were used to produce the two similar DEMs. The ANUDEM algorithm was used to develop the Shenadoah DEM data. This algorithm allows for the inclusion of contours, streams, rivers, lake and water body polygons as well as spot height data to control the elevation model. A statistical analysis using over 800 National Geodetic Survey (NGS) first and second order vertical control points reveals that the Shenandoah10m DEM, produced as a part of the Appalachian Blue Ridge Landscape project, has a vertical accuracy of ±4.87 meters. The metadata for the 10m NED data reports a vertical accuracy of ±7m. A table listing the NGS control points, the elevation comparison, and the RMSE for the Shenandoah10m DEM is provided.
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