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Airborne Geophysical Survey Inventory of the Conterminous United States, Alaska, Hawaii, and Puerto Rico (ver. 4.0, April 2023)

Metadata Updated: October 26, 2023

This data release is a compilation of the locations of airborne geophysical surveys in the United States. The inventory documents public airborne geophysical surveys primarily flown by or contracted by the USGS from 1943 to present. In addition, surveys from the State of Alaska, Department of Natural Resources, Division of Geological and Geophysical Surveys (DGGS): Airborne GeophysWeb, the Bureau of Land Management, the Department of Energy and other state agencies have also been included. The surveys have contributed to studies under USGS programs including Water, Geologic Mapping, Minerals, Energy, Environmental Health, Ecosystems, Hazards, and Climate. This dataset contains locations for known and inventoried surveys, shows the footprints of the survey area, and summarizes data type (aeromagnetic (M), electromagnetic (EM), radiometric (R), gravity (G), and very low frequency EM (V)) and survey details. This dataset continues inventory and documentation efforts including digitized and digital geophysical surveys of state and national compilations (Connard and others, 1999; USGS, 2002; Chandler, 2007; USGS, 1999; Hill and others, 2009; USGS, 2018; DGGS, 2019; Johnson and others, 2019) in addition to many individual published surveys (Open-File Reports (OFR), Geophysical Investigations (GP), and data releases to ScienceBase; a trusted digital repository (USGS, 2019). Access to the survey data itself is also provided where available as the inventory catalogs completed and contracted surveys including those that have not been published to date. In support of the Earth Mapping Resources Initiative (Earth MRI) (Day, 2019) suitability rankings of airborne geophysical surveys for supporting geologic studies were evaluated and determined for aeromagnetic and aeroradiometric data by Eric Anderson, Ben Drenth, V. J. S. Grauch, Anne McCafferty, Anji Shah, and Dan Scheirer of the USGS. The aeromagnetic suitability rankings documented by Drenth and Grauch (2019) were applied to the geophysical survey inventory based on data type, survey specifications, and data issues with 1 being the best and 5 being the least suitable. The criteria used to rank the surveys are explained in Table 1 (Drenth and Grauch, 2019) and described in detail in the process step of this metadata. In addition aeroradiometric rankings were also derived by Anjana K. Shah and have been incorporated.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date May 31, 2023
Metadata Updated Date October 26, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date May 31, 2023
Metadata Updated Date October 26, 2023
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/16581cb943996f257f6f0f25ea88a3a8
Identifier USGS:5d38aac0e4b01d82ce8b940a
Data Last Modified 20230426
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 0dd4bb68-5f6b-4aa5-ac50-f8a12636a93e
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -169.1069,17.9614,-65.371,71.9996
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 622408bf838c0ea77cc0b2eba92fb5b672c381ef17b8fbee2b8becdc7eacfa61
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -169.1069, 17.9614, -169.1069, 71.9996, -65.371, 71.9996, -65.371, 17.9614, -169.1069, 17.9614}

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