Characterising groundwater dependent ecosystems of the Upper Darling floodplain using optical and radar remote sensing
<div>Groundwater is critical to the survival of a range of ecosystems in Australia through provision of a direct source of water to plants with suitable root systems, and through discharge into surface water systems. Effectively managing groundwater dependent ecosystems (GDEs) alongside other water demands requires the ability to identify, characterise, and monitor vegetation condition. <em> </em><br>
As part of the <a href=" https://www.eftf.ga.gov.au/upper-darling-river-floodplain-groundwater-study">Exploring for the Future Upper Darling Floodplain</a> (UDF) groundwater project in western New South Wales, we present results from a study testing the suitability of two novel methods (a) recently available tasselled cap percentile products with national coverage through Digital Earth Australia, and (b) dry-conditions interferometric radar (InSAR) coherence images for mapping vegetation that is potentially groundwater dependent. <em> </em></div><div><em> </em></div><div>A combination of greenness and wetness 10th percentile tasselled cap products delineated terrestrial and aquatic GDEs with greater accuracy than existing regional ecosystem mapping, demonstrating the utility of these products for GDE identification. These results suggest the tasselled cap products can be used to support and refine the existing GDE mapping for this region, and further testing of their suitability and application for other regions is warranted. <em> </em></div><div><em> </em></div><div>The InSAR coherence images produced good agreement with the Bureau of Meteorology national GDE Atlas for areas of high probability of groundwater dependence. Although data availability and technical expertise currently lags behind optical imagery products, if research continues to show good performance in mapping potential GDEs and other applications, InSAR could become an important line of evidence within multi-dataset investigations. <em> </em></div><div><em> </em></div><div>Key next steps for improving the utility of these techniques are (a) comparison with vegetation condition data, and (b) further assessment of the likelihood of groundwater dependence through assessing relationships between vegetation condition and groundwater, surface water, and soil moisture availability.<em> </em></div><div> </div><div>This abstract was submitted/presented to the 2023 Australasian Groundwater / New Zealand Hydrological Society (AGC NZHS) Joint Conference ( https://www.hydrologynz.org.nz/events-1/australasian-groundwater-nzhs-joint-conference)</div>
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Identification info
- Date (Creation)
- 2023-07-22T16:00:00
- Date (Publication)
- 2024-02-01T06:13:41
- Citation identifier
- Geoscience Australia Persistent Identifier/https://pid.geoscience.gov.au/dataset/ga/148650
- Cited responsible party
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Role Organisation / Individual Name Details Publisher Commonwealth of Australia (Geoscience Australia)
Voice Author Buckerfield, S.
Internal Contact Author Kilgour, P.
Internal Contact Author Castellazzi, P.
External Contact Author Dabovic, J.
External Contact Author McPherson, A.
Internal Contact Author Dixon-Jain, P.
Internal Contact Author Symington, N.
Internal Contact Author Buchanan, S.
Internal Contact
- Name
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Australasian Groundwater / New Zealand Hydrological Society (AGC NZHS) Joint Conference 28 November - 1 December 2023, Auckland NZ
- Purpose
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Abstract for 2023 Australian Groundwater Conference presenting results from Upper Darling Floodplain module
- Status
- Completed
- Point of contact
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Role Organisation / Individual Name Details Resource provider Minerals, Energy and Groundwater Division
External Contact Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Point of contact Buckerfield, S.
Internal Contact
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-
- Geoscientific information
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))
- Maintenance and update frequency
- As needed
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Product data repository: Various Formats
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Data Store directory containing the digital product files
Data Store directory containing one or more files, possibly in a variety of formats, accessible to Geoscience Australia staff only for internal purposes
- Project
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EFTF – Exploring for the Future
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- Keywords
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Groundwater resource assessment
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hydrogeology
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groundwater dependent ecosystem
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remote sensing
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- theme.ANZRC Fields of Research.rdf
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Groundwater hydrology
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- Keywords
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Published_External
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© Commonwealth of Australia (Geoscience Australia) 2023
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Australian Government Security Classification System
- Edition date
- 2018-11-01T00:00:00
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- Unclassified
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Australian Government Security Classification System
Associated resource
- Association Type
- Was informed by
- Title
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Groundwater dependent ecosystem assessment using remote sensing, Upper Darling River floodplain
- Citation identifier
- 148545
- Citation identifier
- 6e322ef2-7cf6-4511-a5f4-bc97f8b2558d
- Language
- English
- Character encoding
- UTF8
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Role Organisation / Individual Name Details Distributor Commonwealth of Australia (Geoscience Australia)
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Link to Conference Page
Link to Conference Page
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- OnLine resource
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Link to Abstract (page 25)
Link to Abstract (page 25)
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- OnLine resource
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Related report - eCat 148545
Related report - eCat 148545
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<div>This abstract was drafted on 21/07/2022 and has been submitted for peer-review.</div>
Metadata constraints
- Title
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Australian Government Security Classification System
- Edition date
- 2018-11-01T00:00:00
- Classification
- Unclassified
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urn:uuid/97214339-7754-4a9f-bf1b-afcc8d02fa0e
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GeoNetwork UUID
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- English
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Role Organisation / Individual Name Details Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Point of contact Buckerfield, S.
Internal Contact
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Conference Abstract
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Geoscience Australia - short identifier for metadata record with
uuid
- Citation identifier
- eCatId/148650
- Date info (Creation)
- 2023-09-06T03:57:55
- Date info (Revision)
- 2023-09-06T03:57:55
Metadata standard
- Title
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AU/NZS ISO 19115-1:2014
Metadata standard
- Title
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ISO 19115-1:2014
Metadata standard
- Title
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ISO 19115-3
- Title
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Geoscience Australia Community Metadata Profile of ISO 19115-1:2014
- Edition
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Version 2.0, September 2018
- Citation identifier
- http://pid.geoscience.gov.au/dataset/ga/122551