{"help": "https://data.gov.au/data/en/api/3/action/help_show?name=package_show", "success": true, "result": {"archived": false, "author_email": null, "contact_point": "clientservices@ga.gov.au", "creator_user_id": "c2fbbe4a-4ba0-4945-808b-67454605a4cf", "duplicate_score": 2, "geospatial_topic": [], "id": "aeca8317-690f-4a8d-90ad-c293a9d5b6d7", "isopen": false, "language": "eng", "license_id": "notspecified", "license_title": "notspecified", "maintainer": null, "maintainer_email": null, "metadata_created": "2025-10-16T09:31:56.257556", "metadata_modified": "2025-10-16T09:31:56.257563", "name": "hiqga-open-source-deterministic-and-probabilistic-aem-inversion", "notes": " The High Quality Geophysical Analysis (HiQGA) package is a framework for geophysical forward modelling, Bayesian inference, and deterministic imaging. A primary focus of the code is production inversion of airborne electromagnetic (AEM) data from a variety of acquisition systems. Adding custom AEM systems is simple using a modern computational idea known as multiple dispatch. For probabilistic spatial inference from geophysical data, only a misfit function needs to be supplied to the inference engine. For deterministic inversion, a linearisation of the forward operator (i.e., Jacobian) is also required. For fixed wing geometry nuisances, probabilistic inversion is carried out using Hierarchical Bayesian inference, and deterministic inversion for these nuisances is done using BFGS optimisation. The code is natively parallel, and inversions from a full day of production AEM acquisition can be inverted on thousands of CPUs within a few hours. This allows for quick assessment of the quality of the acquisition, and provides geological interpreters preliminary subsurface images together with associated uncertainties. These images are then used to create subsurface models for a range of applications from natural resource exploration to its management and conservation.\n  \nThis abstract was submitted to/presented at the 8th International Airborne Electromagnetics Workshop (AEM 2023) (https://www.aseg.org.au/news/aem-2023).", "num_resources": 1, "num_tags": 6, "organization": {"id": "91f054ec-d0c3-4d42-a89a-5daa2c7a6818", "name": "geoscience-australia-data", "title": "Geoscience Australia Data", "type": "organization", "description": "Harvester for Geoscience Australia Data", "image_url": "", "created": "2025-06-23T12:29:08.024111", "is_organization": true, "approval_status": "approved", "state": "active"}, "original_harvest_source": {"site_url": "https://ecat.ga.gov.au", "href": "https://ecat.ga.gov.au/geonetwork/srv/eng/csw/dataset/hiqga-open-source-deterministic-and-probabilistic-aem-inversion", "title": "Geoscience Australia"}, "owner_org": "91f054ec-d0c3-4d42-a89a-5daa2c7a6818", "private": false, "promotion_level": "0", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[112.92, -54.75], [159.11, -54.75], [159.11, -9.2402], [112.92, -9.2402], [112.92, -54.75]]]}", "spatial_coverage": "{\"type\": \"Polygon\", \"coordinates\": [[[112.92, -54.75], [159.11, -54.75], [159.11, -9.2402], [112.92, -9.2402], [112.92, -54.75]]]}", "state": "active", "temporal_coverage_from": "2023-10-22 23:35:12", "title": "HiQGA Open source deterministic and probabilistic AEM inversion", "type": "dataset", "unpublished": false, "url": null, "version": null, "extras": [{"key": "harvest_object_id", "value": "4313fa04-d553-484e-8d9d-f21ea8fbddab"}, {"key": "harvest_source_id", "value": "00080910-39e7-408f-882c-e6e1eb6baadb"}, {"key": "harvest_source_title", "value": "Geoscience Australia"}], "resources": [{"cache_last_updated": null, "cache_url": null, "created": "2025-10-16T09:31:56.259008", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "Link to Extended Abstract", "format": "HTML", "hash": "", "id": "af657026-6aa1-4031-9d48-51352500bffa", "last_modified": null, "metadata_modified": "2025-10-16T09:31:56.249663", "mimetype": null, "mimetype_inner": null, "name": "Link to Extended Abstract", "package_id": "aeca8317-690f-4a8d-90ad-c293a9d5b6d7", "position": 0, "resource_locator_function": "", "resource_locator_protocol": "WWW:LINK-1.0-http--link", "resource_type": null, "size": null, "state": "active", "url": "https://zenodo.org/records/10060344", "url_type": null, "zip_extract": false}], "tags": [{"display_name": "EFTF \u2013 Exploring for the Future", "id": "909d5c1c-3ed4-40c5-abcd-3fe164de1b08", "name": "EFTF \u2013 Exploring for the Future", "state": "active", "vocabulary_id": null}, {"display_name": "Electrical and Electromagnetic Methods in Geophysics", "id": "0c97889b-b3de-4771-b667-03377e687d49", "name": "Electrical and Electromagnetic Methods in Geophysics", "state": "active", "vocabulary_id": null}, {"display_name": "Published_External", "id": "5178775c-8044-4b7f-881f-5428a4e2d925", "name": "Published_External", "state": "active", "vocabulary_id": null}, {"display_name": "airborne electromagnetics", "id": "cb8750fe-8236-494e-bc09-32d5258bdc4c", "name": "airborne electromagnetics", "state": "active", "vocabulary_id": null}, {"display_name": "optimisation", "id": "772254af-980b-4624-a006-b9077423a0c1", "name": "optimisation", "state": "active", "vocabulary_id": null}, {"display_name": "probability", "id": "3c7b037d-309f-4f39-a5b6-dd45eef40ab2", "name": "probability", "state": "active", "vocabulary_id": null}], "groups": [], "relationships_as_subject": [], "relationships_as_object": []}}