Data

Probable Vegetation Groundwater Dependent Ecosystems - Southern Rivers

data.nsw.gov.au
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.nsw.gov.au/data/dataset/probable-vegetation-gde-southern-rivers&rft.title=Probable Vegetation Groundwater Dependent Ecosystems - Southern Rivers&rft.identifier=http://data.nsw.gov.au/data/dataset/probable-vegetation-gde-southern-rivers&rft.publisher=data.nsw.gov.au&rft.description=The purpose of this project is to create a data set that identifies vegetation communities that have a probability of being a groundwater dependent ecosystem within NSW. Probability categories are high, medium, low and non GDE. The data is required to meet legislative requirements for water sharing plans and water resource plans. This is a base data layer that can be used to aid research projects, assessment of state significant development applications, licence applications and compliance issues. For ease of data modelling and management, the dataset was divided into the following catchment management areas; Border Rivers-Gwydir, Central Tablelands, Central West, Hawkesbury-Nepean, Hunter-Central Rivers, Lachlan, Lower Murray Darling, Murray, Murrumbidgee, Namoi, Northern Rivers, Southern Rivers, Southern Tablelands, Sydney Metro and Western Division (Far West and Western MDBA). \r\n\r\nPlease note: Groundwater Dependent Ecosystem mapping used the NSW DPE Environment and Heritage vegetation mapping product as the underlying data source. NSW DPE Water activities such as bore applications that are examined at a site specific scale may need subsequent verification to confirm.\r\n\r\nMethod report is available via the DoI Water website - https://water.dpie.nsw.gov.au/__data/assets/pdf_file/0010/151894/High-Probability-GDE-method-report.pdf&rft.creator=Anonymous&rft.date=2025&rft.coverage=148.2003,-37.50481 148.2003,-34.22713 150.9955,-34.22713 150.9955,-37.50481 148.2003,-37.50481&rft_rights=Creative Commons Attribution http://www.opendefinition.org/licenses/cc-by&rft_subject=DCCEEW - Water&rft_subject=DCCEEW - Water Science&rft_subject=Groundwater&rft_subject=Groundwater Dependent Ecosystems&rft_subject=Remote Sensing&rft_subject=South East Corner&rft_subject=South Eastern Highlands&rft_subject=Southern Rivers&rft_subject=Sydney Basin&rft_subject=Vegetation&rft.type=dataset&rft.language=English Access the data

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Brief description

The purpose of this project is to create a data set that identifies vegetation communities that have a probability of being a groundwater dependent ecosystem within NSW. Probability categories are high, medium, low and non GDE. The data is required to meet legislative requirements for water sharing plans and water resource plans. This is a base data layer that can be used to aid research projects, assessment of state significant development applications, licence applications and compliance issues. For ease of data modelling and management, the dataset was divided into the following catchment management areas; Border Rivers-Gwydir, Central Tablelands, Central West, Hawkesbury-Nepean, Hunter-Central Rivers, Lachlan, Lower Murray Darling, Murray, Murrumbidgee, Namoi, Northern Rivers, Southern Rivers, Southern Tablelands, Sydney Metro and Western Division (Far West and Western MDBA).

Please note: Groundwater Dependent Ecosystem mapping used the NSW DPE Environment and Heritage vegetation mapping product as the underlying data source. NSW DPE Water activities such as bore applications that are examined at a site specific scale may need subsequent verification to confirm.

Method report is available via the DoI Water website - https://water.dpie.nsw.gov.au/__data/assets/pdf_file/0010/151894/High-Probability-GDE-method-report.pdf

148.2003,-37.50481 148.2003,-34.22713 150.9955,-34.22713 150.9955,-37.50481 148.2003,-37.50481

149.5979,-35.86597

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Other Information
NSW Department of Climate Change, Energy, the Environment and Water

url : http://data.nsw.gov.au/data/organization/nsw-department-of-climate-change-energy-the-environment-and-water

Identifiers
ACN 633 798 857