Airborne Electromagnetic Data Acquired Over Incised Valley Fill Deposit in California's Central Valley
Abstract/Contents
- Abstract
- This airborne electromagnetic (AEM) dataset was acquired in the Kings River alluvial fan to assess the potential use of the AEM method to locate an incised valley fill (IVF) deposit. Densely-spaced lines of data were acquired over an area where surface mapping and drilling had identified the presence of an IVF deposit. The data were acquired using the SkyTEM system. Made available here are the data processed by Aqua Geo Frameworks, Ltd.
Description
Type of resource | Dataset, cartographic, text |
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Date created | December 1, 2020 - December 4, 2020 |
Date modified | October 7, 2022; October 7, 2022; October 12, 2022; October 12, 2022 |
Publication date | October 7, 2022; October 7, 2022 |
Creators/Contributors
Research team head | Knight, Rosemary | |
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Contributor | Steklova, Klara | |
Contributor | Miltenberger, Alex | |
Contributor | Kang, SEOGI |
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Contributor | Goebel, Meredith | |
Contributor | Fogg, Graham |
Subjects
Subject | Water > Remote sensing |
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Subject | Sustainability |
Genre | Data |
Genre | Geospatial data |
Genre | Tabular data |
Genre | Data sets |
Genre | Dataset |
Genre | Cartographic dataset |
Genre | Tables (data) |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under an Open Data Commons Attribution License v1.0.
Preferred citation
- Preferred citation
- Knight, R., Steklova, K., Miltenberger, A., Kang, S., Goebel, M., and Fogg, G. (2022). Airborne Electromagnetic Data Acquired Over Incised Valley Fill Deposit in California's Central Valley. Stanford Digital Repository. Available at https://purl.stanford.edu/vj301kx0276. https://doi.org/10.25740/vj301kx0276.
Collection
Stanford Research Data
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- Contact
- rknight@stanford.edu
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