Soil Health Baselines and Trend Maps for NSW Forest Regions

Maps describe trends of soil quality indicators and the impact of key drivers like Climate Change, Land Disturbance, and Bushfires. The dataset includes Digital Soil Mapping (DSM) and Data Cube models built using machine learning techniques, commissioned by the Forest Monitoring Steering Committee from a consortium of the NSW Department of Planning, Industry and Environment and the University of Sydney.

Use Cases

• Analyze trends of soil quality indicators against key drivers like Climate Change and Land Disturbance.
• Apply Digital Soil Mapping (DSM) models to assess soil stability across NSW Regional Forest Agreement areas.
• Utilize Data Cube models to investigate spatial and temporal patterns in soil health drivers.
• Model the impact of Bushfires on soil condition change using the provided trend maps.

Strengths

• Includes models built using machine learning techniques for soil trend analysis.
• Commissioned by an authoritative Forest Monitoring Steering Committee.
• Covers NSW Regional Forest Agreement areas, providing regional specificity.

Limitations

• Specific row count, column names, and sample data are unavailable, limiting initial analytical clarity.
• Data currency is listed as June 2022, which may not reflect recent conditions.
• Primarily accessible as an ArcGIS REST service, requiring specialized geospatial tools for use.

Provenance

Source

NSW Natural Resources Commission, via Spatial Services (DCS).

Collection Method

Digital Soil Mapping (DSM) and Data Cube models using machine learning techniques.

Time Range

null

Freshness

Data currency is 14/06/2022; update frequency is listed as 'Other'.

Geography

Forest catchments across NSW Regional Forest Agreement areas.