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dc.contributor.authorBishop, Thomas
dc.contributor.authorFilippi, Patrick
dc.contributor.authorWhelan, Brett
dc.contributor.authorPozza, Lianna
dc.contributor.authorHoskin, Nikolas
dc.contributor.authorCollyer, Bryn
dc.contributor.authorWright, Jenna
dc.coverage.spatialAustraliaen
dc.coverage.temporal2023-2025en
dc.date.accessioned2025-08-12T04:57:40Z
dc.date.available2025-08-12T04:57:40Z
dc.date.issued2025-08-12
dc.identifier.urihttps://hdl.handle.net/2123/34215
dc.description.abstractProximal 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.en
dc.language.isoenen
dc.relation.ispartofGRDC project number UOS2206-009RTX
dc.rightsOtheren
dc.subjectsoil constraintsen
dc.subjectsoil sensingen
dc.subjectsoil analysisen
dc.subjectelectromagnetic surveyen
dc.subjectgamma surveyen
dc.subjectdigital agricultureen
dc.subjectsoil physicochemical propertiesen
dc.titleProximal sensing surveys (EM & Gamma) across 36 farms from the grain growing regions of Australiaen
dc.typeDataseten
dc.subject.asrcANZSRC FoR code::30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES::3002 Agriculture, land and farm management::300206 Agricultural spatial analysis and modellingen
dc.subject.asrcANZSRC FoR code::41 ENVIRONMENTAL SCIENCES::4106 Soil sciences::410604 Soil chemistry and soil carbon sequestration (excl. carbon sequestration science)en
dc.subject.asrcANZSRC FoR code::30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES::3002 Agriculture, land and farm management::300202 Agricultural land managementen
dc.relation.arcARC Grains Research and Development Corporation
dc.rights.otherLicence upon request. Researchers will have to make requests to GRDC and the University of Sydney for access to the data.en
usyd.facultySeS faculties schools::Faculty of Science::School of Life and Environmental Sciencesen
usyd.facultySeS faculties schools::Faculty of Science::Sydney Institute of Agriculture (SIA)en
workflow.metadata.onlyYesen


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