Filters: Tags: VRM (X)5 results (54ms)
This dataset displays the Vector Ruggedness Measure (VRM) for the DRECP study site and surrounding 12 km buffer at 270m resolution. This dataset was originally derived at 30m resolution, using the 30m NED, and run with a 9x9 (270m) neighborhood size. The resulting VRM dataset was projected to CA Albers Equal Area NAD83 and resampled to 270m resolution to match the DRECP statistical species distribution models.Â The Vector Ruggedness Measure measures terrain ruggedness as the variation in three-dimensional orientation of grid cells within a neighborhood. Vector analysis is used to calculate the dispersion of vectors normal (orthogonal) to grid cells within the specified neighborhood. This method effectively captures...
This map shows the classes, vegetation departure, current/future landscape intactness, current/future change agents, and potential for change for the Visual Resource Management (VRM) in the study area. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the...
Proposed Visual Resource Management (VRM) classifications within the Western Oregon Plan Revision (WOPR) area. These classes are based on scenic quality, sensitivity level, and distance zones. Managed VRM are areas which include Inventoried VRM and may include other external factors such as proximity to state highways or resource designations. Adjustment are made based on true ground designations.BLM (Bureau of Land Management) WOPR (Western Oregon Plan Revision) WOPR Theme Group: LUP (Land Use Planning) PRMP (Proposed Resource Managment Plan) VRM (Visual Resource Management)
This dataset represents a visual resource management assessment for the Buffalo Field Office, Wyoming.
Areas with high ruggedness (Vector Ruggedness Measure > 0.01; neighborhood size = 270m) used in creating the DRECP golden eagle expert model.Â The Vector Ruggedness Measure (VRM) was originally derived at 30m resolution, using the 30m NED, and run with a 9x9 (270m) neighborhood size. The resulting VRM dataset was projected to CA Albers Equal Area NAD83 and resampled to 270m resolution to match the DRECP statistical species distribution models.Â VRM was adapted from a method first proposed by Hobson (1972). See Sappington et al. 2007, for further details.Â References:Â Hobson, R.D. 1972. Surface roughness in topography: quantitative approach. Pages 221â245 in R. J. Chorley, editor. Spatial analysis in geomorphology....