BASEMAP, OCONEE COUNTY AND INCORPORATED AREAS, SOUTH CAROLINA

Resource lineage description

source

source description  Source Contribution: BenchmarksSource Type online

source citation

Title Benchmarks

publication  Date   2004-01-01

cited responsible party - originator

organisation Name  NOAA, National Geodetic Survey

source

source description  Source Contribution: Digital political boundariesSource Type CD-ROM

source citation

Title Political Boundaries

publication  Date   2005-09-16

cited responsible party - originator

organisation Name  OCONEE County, South Carolina

source

source description  Source Contribution: TransportationSource Type CD-ROM

source citation

Title Transportation

publication  Date   2005-09-16

cited responsible party - originator

organisation Name  OCONEE County, South Carolina

source

source description  Source Contribution: HydrologySource Type online

source citation

Title Hydrology

publication  Date   2005-06-19

cited responsible party - originator

organisation Name  OCONEE County South Carolina

source

source description  Source Contribution: USGS Quad IndexSource Type online

source citation

Title USGS Quad Index

publication  Date   2002-01-01

cited responsible party - originator

organisation Name  USGS

AbsoluteExternalPositionalAccuracy

name Of Measure Horizontal Positional Accuracy Report

evaluation Method Description  The NSSDA is used to report the horizontal accuracy of the base map data used by FEMA to produce a FIRM. The NSSDA uses radial accuracy (Accuracy) to report the radius of a circle of uncertainty, such that the true or theoretical location of a point falls within that circle 95 percent of the time. (Guidelines and Specifications Vol 1, p. 70)

AbsoluteExternalPositionalAccuracy

name Of Measure Horizontal Positional Accuracy

measure Description  The minimum horizontal positional accuracy for new FIRM base map data is that of the default base map, the USGS DOQs, which have an NSSDA radial accuracy of 38 feet. Data that meet higher accuracy standards are also acceptable. Accuracy of 38 feet is the same as radial root mean square error (RMSEr) of 22 feet. (Guidelines and Specifications Vol 1, p. 70)

Quantitative Result

result value 11.5824

value Units

AbsoluteExternalPositionalAccuracy

name Of Measure Vertical Positional Accuracy Report

evaluation Method Description  ASPRS

AbsoluteExternalPositionalAccuracy

name Of Measure Vertical Positional Accuracy

measure Description  Standard Vertical Accuracy for TNBMP ariel Photography meets or exceeds the American Society of Photogrammetry and Remote Sensing's Class 1 Standards. This is equivalent to +/- 10 ft. on the 400 scale and +/- 5 ft. on the 100 scale.

Quantitative Result

result value 10

value Units

Completeness Commission

evaluation Method Description  The Basemap datasets represents all the features utilized during the study mapping process to spatially position the DFIRM information and highlights the specific prioritization process laid out in the Guidelines and Specifications Vol 1, p. 69 in their selection for use. The final selection criteria, and rational for inclusion should be outlined here, along with rational for exclusion of use of specific base map datasets if applicable.

Completeness Omission

evaluation Method Description  The Basemap datasets represents all the features utilized during the study mapping process to spatially position the DFIRM information and highlights the specific prioritization process laid out in the Guidelines and Specifications Vol 1, p. 69 in their selection for use. The final selection criteria, and rational for inclusion should be outlined here, along with rational for exclusion of use of specific base map datasets if applicable.

ConceptualConsistency

measure Description  Polygons intersecting the neatline are closed along the border. Segments making up the outer and inner boundaries of a polygon tie end-to-end to completely enclose the area. Line segments are a set of sequentially numbered coordinate pairs. No duplicate features exist nor duplicate points in a data string. Intersecting lines are separated into individual line segments at the point of intersection. Point data are represented by two sets of coordinate pairs, each with the same coordinate values.