Probable Vegetation Groundwater Dependent Ecosystems - Hunter / Central Rivers
Data and Resources
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Data Quality Statement
PDF
Data quality statement for Probable Vegetation Groundwater Dependent...
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GDE Probability Hunter Central Rivers
ZIP
Probable vegetation and wetland GDEs in the Hunter and Central Rivers File...
- GDE Probability metadata statement PDF
Additional Info
Identifier | |
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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 issue |
S3 object key | |
Data Custodian | NSW Department of Climate Change, Energy, the Environment and Water |
Point of Contact | water.dataproducts@dpie.nsw.gov.au |
Access Rights | Open |
Security Classification | UNOFFICIAL |
Date Modified | 2024-02-26T13:24:29.389676 |
Access URL | https://datasets.seed.nsw.gov.au/dataset/probable-vegetation-gde-hunter-central-rivers |
Sensitive Data | |
File size | |
Legal Authority | |
Disposal | |
Publisher | NSW Department of Climate Change, Energy, the Environment and Water |
Keyword | VEGETATION,WATER-Groundwater |
Resource Type | Dataset |
Temporal coverage from | 2018-02-21 |
Temporal coverage to | |
Update Frequency | Irregular |
Publish Date | 2022-08-02 |
Purpose | Environmental management |
Location | vector |
Language | English |
Licence | Creative Commons Attribution 4.0 |
Data Status | |
Data Source | https://datasets.seed.nsw.gov.au/dataset/probable-vegetation-gde-hunter-central-rivers |
Dataset DOI | |
Spatial Coverage |
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harvest_object_id | 782b5a13-bbab-4fb7-a93b-a645ab724f3f |
harvest_source_id | 9028607c-05cb-4546-a451-a32cb42ee98f |
harvest_source_title | seed-harvester |
syndicated_id | 095c160f-6469-4f19-8b83-6902dea048a6 |