Rejuvenating Pre-GPS era geophysical surveys using The National Map
Journal of Surveying Engineering
Links
- More information: Publisher Index Page (via DOI)
- Download citation as: RIS | Dublin Core
Abstract
Old geophysical surveys [pre–Global Positioning System (GPS)] stand as valuable, largely untapped sources of scientific data. If data from these surveys were in a format that had reasonable accuracy, availability, and ease of access, they could be more widely used. In this paper, a pre-GPS survey is integrated into a modern geographic database, in this case, The National Map (TNM). The ultimate goal is to improve the accuracy, precision, provenance, and ease of access of the geospatial components of archived geophysical data. An unique set of data sources was assembled for this purpose. A comparison of these different data sources indicates that more than 80% of stations were positioned on The National Map within 15 m (horizontal) and 2 m (vertical) of the GPS-derived coordinates for each station within the survey. Although online database coordinate accuracy continues to improve, these results imply that web databases have already matured to a point where it is possible to integrate pre-GPS era survey coordinate data with reasonable positional accuracy.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Rejuvenating Pre-GPS era geophysical surveys using The National Map |
| Series title | Journal of Surveying Engineering |
| DOI | 10.1061/(ASCE)SU.1943-5428.0000068 |
| Volume | 138 |
| Issue | 2 |
| Year Published | 2013 |
| Language | English |
| Publisher | American Society of Civil Engineers |
| Contributing office(s) | Center of Excellence for Geospatial Information Science (CEGIS) |
| Description | 9 p. |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Journal of Surveying Engineering |
| First page | 57 |
| Last page | 65 |
| Country | United States |
| State | Missouri |
| County | Crawford County;Dent County |
| Google Analytic Metrics | Metrics page |