New South Wales – Dryland Salinity Assessment 2000 – Assessmet of Dryland salinity extent 2020

Created 12/05/2013

Updated 12/04/2018

The data shows areas of dryland salinity risk in 2020 in the Murray-Darling Basin within NSW and coastal NSW catchments.Areas of risk are based on groundwater levels and air photo interpretation. The merged data, at a nominal scale of 1:250 000, show actual areas where dryland salinity or water-tables less than 2 metres have been measured. For the extent map, every delineated area is underpinned by either air photo data or by one or more groundwater bores. Therefore, the area at risk is regarded as conservative due to limitations in the spatial coverage of air photo and bore data. number of techniques to spatially extrapolate these data to infer potential areas at risk were trialed but were considered scientifically or statistically inadequate. Estimates of impacts are based on areas at risk having groundwater levels of less than 2 m. An impact assessment based on groundwater less than 5 m and rising was considered inappropriate. Total areas affected with groundwater less than 5 m and rising have been presented, but only for improved consistency with other States.

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Field Value
Title New South Wales – Dryland Salinity Assessment 2000 – Assessmet of Dryland salinity extent 2020
Language English
Licence Creative Commons Attribution 3.0 Australia
Landing Page https://devweb.dga.links.com.au/data/dataset/aa2cc095-5a2b-4b43-9d20-07a1cd9da012
Contact Point
Australian Bureau of Agriculture and Resource Economics and Sciences
Land_Management@agriculture.gov.au
Reference Period
Geospatial Coverage New South Wales
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "New South Wales – Dryland Salinity Assessment 2000 – Assessmet of Dryland salinity extent 2020". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/new-south-wales-dryland-salinity-assessment-2000-assessmet-of-dryland-salinity-extent-2020

No duplicate datasets found.