Proximal sensing surveys (EM & Gamma) across 36 farms from the grain growing regions of Australia
Access status:
Open Access
Type
DatasetAuthor/s
Bishop, ThomasFilippi, Patrick
Whelan, Brett
Pozza, Lianna
Hoskin, Nikolas
Collyer, Bryn
Wright, Jenna
Abstract
Proximal soil electromagnetic induction (EM) & gamma radiometric (gamma) surveys from 36 farms across Australia's dryland cropping regions. Surveyed fields correspond to those sampled in the '3D PAWC and constraint mapping' project. Soil proximal surveys were compiled between 2023 ...
See moreProximal soil electromagnetic induction (EM) & gamma radiometric (gamma) surveys from 36 farms across Australia's dryland cropping regions. Surveyed fields correspond to those sampled in the '3D PAWC and constraint mapping' project. Soil proximal surveys were compiled between 2023 and 2025. These surveys were collected to be used as modelling covariates in digital 3D soil maps that describe on-farm soil constraints and PAWC in a given area and can be used to inform management decisions. These have been collected at many sites across Australia to give an idea of the investment value for proximal surveys in different environments and soil types. Surveyed areas range from 200 - 2,000 ha at specific farms, while the total surveyed area represented in this dataset exceeds 26,000 ha of dryland cropping soils. Proximal surveys were collected at 36 m swathe widths using gator mounted EM & gamma sensors. EM & gamma surveys are stored seperately in .csv format for each farm. EM data consists of 4 x depth slices to a maximum of 300 cm from a DualEM sensor. Gamma data collected by an RSX-1 gamma-ray spectrometer consists of Potassium, Uranium & Thorium concentrations as well as total count. Coordinates are present in 'EPSG:4326' projection. Farms were surveyed between 2023 and 2025. The date of survey is available for all farms. GRDC Project UOS2206-009RTX The datasets with raw values are stored on the USYD-RDS at \\shared.sydney.edu.au\research-data\PRJ-MLCons. This data has restricted access and the data is de-identified as it contains information from private properties. Third-parties may be able to access the data subject to terms agreed to by the GRDC and the University of Sydney and/or a data supply and licence agreement. Please contact Dr Patrick Filippi ([email protected]) to request access to the data.
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See moreProximal soil electromagnetic induction (EM) & gamma radiometric (gamma) surveys from 36 farms across Australia's dryland cropping regions. Surveyed fields correspond to those sampled in the '3D PAWC and constraint mapping' project. Soil proximal surveys were compiled between 2023 and 2025. These surveys were collected to be used as modelling covariates in digital 3D soil maps that describe on-farm soil constraints and PAWC in a given area and can be used to inform management decisions. These have been collected at many sites across Australia to give an idea of the investment value for proximal surveys in different environments and soil types. Surveyed areas range from 200 - 2,000 ha at specific farms, while the total surveyed area represented in this dataset exceeds 26,000 ha of dryland cropping soils. Proximal surveys were collected at 36 m swathe widths using gator mounted EM & gamma sensors. EM & gamma surveys are stored seperately in .csv format for each farm. EM data consists of 4 x depth slices to a maximum of 300 cm from a DualEM sensor. Gamma data collected by an RSX-1 gamma-ray spectrometer consists of Potassium, Uranium & Thorium concentrations as well as total count. Coordinates are present in 'EPSG:4326' projection. Farms were surveyed between 2023 and 2025. The date of survey is available for all farms. GRDC Project UOS2206-009RTX The datasets with raw values are stored on the USYD-RDS at \\shared.sydney.edu.au\research-data\PRJ-MLCons. This data has restricted access and the data is de-identified as it contains information from private properties. Third-parties may be able to access the data subject to terms agreed to by the GRDC and the University of Sydney and/or a data supply and licence agreement. Please contact Dr Patrick Filippi ([email protected]) to request access to the data.
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Date
2025-08-12Source title
GRDC project number UOS2206-009RTXFunding information
ARC ARC Grains Research and Development CorporationLicence
OtherRights statement
Licence upon request. Researchers will have to make requests to GRDC and the University of Sydney for access to the data.Faculty/School
Faculty of Science, School of Life and Environmental SciencesFaculty of Science, Sydney Institute of Agriculture (SIA)
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