|Titre||Near surface seismic database: future online GSC data delivery|
|Télécharger||Téléchargement (publication entière) |
|Auteur||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; par Russell, H A J; Ford, D;
Priebe, E H; Holysh, S; Commission géologique du Canada, Dossier public 8363, 2018 p. 17, https://doi.org/10.4095/306531|
|Liens||Federal Geospatial Platform Harmonized North America Profile (FGP HNAP) |
|Liens||Government of Canada Open Data |
|Éditeur||Ressources naturelles Canada|
|Réunion||Regional-Scale Groundwater Geoscience in Southern Ontario: Open House; Guelph; CA; février 28 - mars 1, 2018|
|Media||en ligne; numérique|
|Référence reliée||Cette publication est contenue dans 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, Commission géologique du Canada,
Dossier public 8363|
|Sujets||levés géophysiques; levés sismiques; données sismiques; techniques de cartographie; logiciel; Base de données; Traitement des données; Norme; Gouvernement ouvert; Données ouvertes; géophysique|
Bibliothèque de Ressources naturelles Canada - Ottawa (Sciences de la Terre)
|Programme||Aquifer Assessment & support to mapping, Géoscience des eaux souterraines|
|Diffusé||2018 02 16|
|Résumé||(disponible en anglais seulement)|
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
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).