|Title||Near surface seismic database: future online GSC data delivery|
|Download||Download (whole publication) |
|Author||Griffiths, M; Dietiker, B; Pugin, A J -M|
|Source||Regional-scale groundwater geoscience in southern Ontario: an Ontario Geological Survey, Geological Survey of Canada, and Conservation Ontario geoscientists open house; by Russell, H A J; Ford, D; Priebe,
E H; Holysh, S; Geological Survey of Canada, Open File 8363, 2018 p. 17, https://doi.org/10.4095/306531 (Open Access)|
|Links||Federal Geospatial Platform Harmonized North America Profile (FGP HNAP)|
|Links||Government of Canada Open Data|
|Publisher||Natural Resources Canada|
|Meeting||Regional-Scale Groundwater Geoscience in Southern Ontario: Open House; Guelph; CA; February 28 - March 1, 2018|
|Related||This publication is contained in Russell, H A J; Ford, D;
Priebe, E H; Holysh, S; (2018). Regional-scale groundwater geoscience in southern Ontario: an Ontario Geological Survey, Geological Survey of Canada, and Conservation Ontario geoscientists open house, Geological Survey of Canada, Open File
|Subjects||geophysics; geophysical surveys; seismic surveys; seismic data; mapping techniques; software; databases; data acquisition; data processing; spatial metadata; standards; data formats; open government;
Natural Resources Canada Library - Ottawa (Earth Sciences)
|Program||Aquifer Assessment & support to mapping, Groundwater Geoscience|
|Released||2018 02 16|
|Abstract||The near surface geophysics group at the Geological Survey of Canada (GSC) has developed a land streamer system for the rapid acquisitions of seismic data. With this system, over 700km of near surface
seismic data has been collected over the last decade, and the data collection is rapidly growing.|
Using Microsoft Access a database has been designed to catalogue these projects and the associated processed seismic sections, with ease of upkeep as
a priority. To accomplish this, a library of Access Macros was created to make data entry as efficient as possible.
With the macros working in the background, a new survey is added to the database in a few minutes. When a project is entered, the
associated files are automatically copied into a backend file structure, creating a consistent and organized backup of the processed seismic lines, their coordinate files, and the log sheets. Macros automatically generate and store links to these
files in the database. Storing the archived data as links rather than attachments keeps the database below the file size limit of 2GB without losing file accessibility. Additionally, the relevant spatial meta-data (such as survey boundaries in UTM
and Latitude-Longitude coordinates) are extracted automatically, instead of having the user sift through and manually enter this data.
Additional meta-data is entered manually, such as survey description, acquisition and processing parameters.
Meta-data is important as it provides the user with critical information that supports analysis and interpretation of the survey results. The GSC is committed to the ISO 19115 metadata standard and all published data has to be fully compliant with
the Federal Geospatial Platform Harmonized North America Profile (FGP HNAP) metadata profile (http://www.nrcan.gc.ca/earth-sciences/geomatics/canadas-spatial-data-infrastructure/geospatial-communities/federal).
Survey coordinates can be exported
from the database as KML files, making them compatible with Google Earth. This is useful for quality control and spatial querying as eventually this database will form the backbone of an internet accessible tool to search, view and download near
surface seismic profiles in SEGY format, which is a proprietary SEG industry standard. It will be much easier to access data from a standardized structure at one location rather than independent Open Files. This is expected to help applied
geo-scientists and researchers integrate this information into their work. This project aligns with the Government of Canada Open Data policy and delivery within a searchable online mechanism (http://open.canada.ca/en/open-data).