Soil subsurface alkalinity data assesses a land quality impacting agricultural uses, based on analysis of soil-landscape mapping. The dataset is authored by Agriculture Resource Management and Assessment within the Department of Primary Industries and Regional Development. It was last updated in March 2026.
Use Cases
- Analyze Soil Alkalinity spatial patterns for agricultural land use planning using polygon features from the SHP or GEOJSON files.
- Model Land degradation risk by integrating alkalinity data with other soil mapping layers.
- Assess regional Land Capability by interpreting subsurface alkalinity as a constraint factor.
Strengths
- Data is derived from the best available soil-landscape mapping dataset, ensuring authoritative source material.
- Offered in multiple spatial formats including SHP, FGDB, GEOJSON, and GEOPACKAGE for tool flexibility.
- Maintained under an open CC-BY license, permitting broad reuse and distribution.
Limitations
- No sample data or column schema is provided, complicating initial data understanding.
- The specific spatial coverage (geography) and temporal range of the underlying mapping are not detailed.
Provenance
- Source
- Department of Primary Industries and Regional Development
- Collection Method
- Based on analysis and interpretation of the best available soil-landscape mapping dataset; methodology described in DAFWA Resource Management Technical Report 298.
- Time Range
- null
- Freshness
- Last updated March 2026.
- Geography
- null