The Geophysical Survey (GS) data standard and metadata convention provide a communal ontology for the documentation of geophysical datasets using the Network Common Data Form (netCDF) file format, addressing the need for a community-supported and open data standard for geophysical data. Airborne geophysical data in particular requires accurate description of significant metadata information such as system information and acquisition details. The GS standard employs a “data tree” structure to organize related datasets within the same file. The data tree is composed of a limited selection of group types (root group, branches, data leaves, supplementary stems), each with closely controlled positioning and required attributes, thereby striking a balance between flexibility and strict standardization. The companion Python package, GSPy, facilitates conversion of data into the GS standard. In this workshop we will teach participants about the GS standard format and how to use the GSPy software. We will work through example datasets and Jupyter notebooks to provide hands-on experience in using GSPy, building GS data trees, and handling data in the netCDF file format. The workshop will also provide an opportunity for participants to get individualized guidance and support on their own data needs and workflows, as well as for end-users to provide input that will improve development of the GS standard and GSPy software. This workshop will enhance awareness and engagement in the GS standard, thereby strengthening its position as an international data standard, and ultimately improve the transferability, accessibility, and long-term reliability of geophysical data.

The workshop will demonstrate the workflow for the acquisition, processing and inversion of Drone AEM data. Data will be acquired with the drone system developed by TEMcompany, with Tx and Rx on separate drones, to keep overall drone+payload weight below 25 kg. Processing and inversion will be carried out in the EEMstudio/EEMverter Pro suite by The EEM Team Spin-Off company. The system characteristics, depth of investigation, processing and Qa/Qc procedures will be demonstrated in detail.
Furthermore, the participants will have a hands-on experience covering the entire workflow from data acquisition to interpretation. In particular:
Data Acquisition
• Acquisition of time-domain drone AEM data, with specifics on field procedures and instrument preparation
• 30-60 minutes demonstrative flights before one of the conference dinners
• In-field Qa/Qc
Data Processing
• Data import and processing in the EEMstudio/EEMverter suite• Evaluation of position accuracy and Tx/Rx attitude• Data processing, with evaluation of noise floor and manual culling of outliers
Data Inversion and interpretation
• Data inversion with 1D forward directly by participants
• Demo of 2D/3D inversions by organizers
• Model interpretation