Groundwater dependent ecosystems in the upper Darling River floodplain NSW, mapped using Landsat satellite data

<div>Groundwater dependent ecosystems (GDEs) rely on access to groundwater on a permanent or intermittent basis to meet some or all of their water requirements (Richardson et al., 2011). The <a href=" https://explorer-aws.dea.ga.gov.au/products/ga_ls_tc_pc_cyear_3">Tasselled Cap percentile products</a> created by Digital Earth Australia (2023) were used to identify potential GDEs for the upper Darling River floodplain study area. These percentile products provide statistical summaries (10th, 50th, 90th percentiles) of landscape brightness, greenness and wetness in imagery acquired between 1987 and present day. The 10th percentile greenness and wetness represent the lowest 10% of values for the time period evaluated, e.g. 10th greenness represents the least green period. In arid regions, areas that are depicted as persistently green and/or wet at the 10th percentile have the greatest potential to be GDEs. For this reason, and due to accessibility of the data, the 10th percentile Tasselled Cap greenness (TCG) and Tasselled Cap wetness (TCW) products were used as the basis for the assessment of GDEs for the upper Darling River floodplain study area. </div><div><br></div><div>This data release is an ESRI geodatabase, with layer files, including:</div><div><br></div><div>-      original greenness and wetness datasets extracted; </div><div><br></div><div>-      classified 10th percentile greenness and wetness datasets (used as input for the combined dataset); </div><div><br></div><div>-      combined scaled 10th percentile greenness and wetness dataset (useful for a quick glance to identify potential groundwater dependent vegetation (GDV) that have high greenness and wetness e.g. river red gums)</div><div><br></div><div>-      combined classified 10th percentile greenness and wetness dataset (useful to identify potential GDV/GDE and differentiate between vegetation types)</div><div><br></div><div>-      coefficient of variation of 50th percentile greenness dataset (useful when used in conjunction with the scaled/combined products to help identify GDEs)</div><div><br></div><div>For more information and detail on these products, refer to <a href=" https://dx.doi.org/10.26186/148545">https://dx.doi.org/10.26186/148545</a>.</div><div><br></div><div><strong>References</strong></div><div>Digital Earth Australia (2023). <em><a href=" https://docs.dea.ga.gov.au">Digital Earth Australia User Guide</a></em>. </div><div>Richardson, S., E. Irvine, R. Froend, P. Boon, S. Barber, and B. Bonneville. 2011a. <em>Australian groundwater-dependent ecosystem toolbox part 1: Assessment framework.</em> Waterlines Report 69. Canberra, Australia: Waterlines.</div>

Identification info

Date (Creation): 2023-07-04T14:00:00

Date (Publication): 2023-08-15T01:13:12

Citation identifier: Geoscience Australia Persistent Identifier/https://pid.geoscience.gov.au/dataset/ga/148626

Citation identifier: Digital Object Identifier/https://dx.doi.org/10.26186/148626

Cited responsible party

Role	Organisation / Individual Name	Details
Publisher	Commonwealth of Australia (Geoscience Australia)	Voice
Author	Kilgour, P.	Internal Contact
Author	Symington, N.	MEG Internal Contact

Purpose: To assist in the identification and characterisation of groundwater dependent ecosystems.

Status

Point of contact

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	Kilgour, P.	Internal Contact

Spatial representation type

Topic category

Geoscientific information

Extent

Maintenance and update frequency: Not planned

Resource format

Title: Product data repository: Various Formats

Website: 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

EFTF – Exploring for the Future

Project

Upper Darling

Keywords

remote sensing

Keywords

Landsat

Keywords

Tasselled Cap

Keywords

groundwater dependent ecosystem

Keywords

Upper Darling

Keywords

floodplain

Keywords

New South Wales

Keywords

theme.ANZRC Fields of Research.rdf

Groundwater hydrology

Keywords

Published_External

Resource constraints

Title: Creative Commons Attribution 4.0 International Licence

Alternate title: CC-BY

Edition: 4.0

Website

https://creativecommons.org/licenses/by/4.0/

Addressee

Role	Organisation / Individual Name	Details
User	Any

Use constraints: License

Use constraints: Other restrictions

Other constraints: © Commonwealth of Australia (Geoscience Australia) 2023

Resource constraints

Title: Australian Government Security Classification System

Edition date: 2018-11-01T00:00:00

Website

https://www.protectivesecurity.gov.au/Pages/default.aspx

Classification: Unclassified

Classification system: Australian Government Security Classification System

Associated resource

Association Type: Informed

Title: Groundwater dependent ecosystem assessment using remote sensing

Citation identifier: 148545

Citation identifier: 6e322ef2-7cf6-4511-a5f4-bc97f8b2558d

Website

http://pid.geoscience.gov.au/dataset/ga/148545

Link to eCat metadata record landing page

Associated resource

Association Type: Operated on by

Title: Groundwater Grids WMTS

Citation identifier: 148926

Citation identifier: c32e3408-4cce-40f0-aed5-d9002bccfa27

Website

http://pid.geoscience.gov.au/service/ga/148926

Link to eCat metadata record landing page

Associated resource

Association Type: Operated on by

Title: Groundwater Grids WCS

Citation identifier: 148927

Citation identifier: e1c63132-7c4c-46d9-9521-f80a00163c26

Website

http://pid.geoscience.gov.au/service/ga/148927

Link to eCat metadata record landing page

Associated resource

Association Type: Operated on by

Title: Groundwater Grids WMS

Citation identifier: 148925

Citation identifier: 914a847c-da5d-420d-a1db-0db2b2d346b9

Website

http://pid.geoscience.gov.au/service/ga/148925

Link to eCat metadata record landing page

Language: English

Character encoding: UTF8

Distribution Information

Distributor contact

Role	Organisation / Individual Name	Details
Distributor	Commonwealth of Australia (Geoscience Australia)	Voice facsimile

OnLine resource: Download the ESRI geodatabase (zip) [3.1 GB]

Download the ESRI geodatabase (zip) [3.1 GB]

Distribution format

zip

File decompression technique

unzip

OnLine resource: Groundwater Grids WCS

Groundwater Grids WCS

Distribution format

OGC:WCS

OnLine resource: Groundwater Grids WMTS

Groundwater Grids WMTS

Distribution format

OGC:WMTS

OnLine resource: Groundwater Grids WMS

Groundwater Grids WMS

Distribution format

OGC:WMS

Resource lineage

Statement

<div>For the upper Darling River floodplain study area, both TCG and TCW were extracted from Digital Earth Australia (DEA) using the Geoscience Australia Landsat Tasselled Cap Percentile Calendar Year Collection 3 product for all available years (1987–2022). Since there is currently no multi-year summary product based on the Collection 3 data, as there is for the Collection 2 data, a script ( https://github.com/GeoscienceAustralia/GWB-GDE-DEA/blob/main/ExtractTCG_TCB_c3/get_TCG_TCB_images_c3.ipynb) was written in DEA Sandbox ( https://app.sandbox.dea.ga.gov.au/) to extract all of the years and calculate the median of all the percentiles (10th, 50th, 90th) for the whole time period.<strong> </strong>For this study, a combination of the 10th percentiles of TCG and TCW were investigated, as they are more informative for identifying and characterising potential aquatic and terrestrial GDEs than each band individually. The 50th percentile greenness was also used to create the coefficient of variance (CV) dataset. </div><div><br></div><div>The datasets created include:</div><div><br></div><div>-      coefficient of variation of 50th percentile greenness dataset, created by modifying the above script and replacing ‘median’ with ‘std’ and then with ‘mean’ to acquire the standard deviation and mean for each pixel in the 50th percentile greenness datasets for the time period 1987 to 2022. These datasets were then loaded into a GIS and the CV dataset created by using the formula: CV = std / mean</div><div><br></div><div>-      combined scaled 10th percentile greenness and wetness dataset, created by scaling both the greenness and wetness 10th percentile datasets using the scaling formula z = (x – min) / (max – min), which were then added together.</div><div><br></div><div>-      classified 10th percentile greenness and wetness datasets (used as input for the combined classified dataset). These were created by capitalising on their normally distributed data and classified using the mean and 0.5 standard deviations into nine classes.</div><div><br></div><div>-      combined classified 10th percentile greenness and wetness dataset was created by combining the classified greenness and wetness datasets using the ESRI ArcPro ‘Combine’ tool. This resulted in a dataset having a two-digit code with the first number of the code corresponding to greenness and the second digit correspond to wetness (refer to Table 2.1, Buckerfield et al., 2023).</div><div><br></div><div><strong>Reference</strong>:</div><div>Buckerfield, S., Kilgour, P., Castellazzi, P., Dabovic, J., McPherson, A., Dixon-Jain, P., Symington, N., Buchanan, S. 2023. Groundwater dependent vegetation assessment using remote sensing, Exploring for the Future – Upper Darling Floodplain, New South Wales. Record 2023/575. Geoscience Australia, Canberra. <br>

http://dx.doi.org/10.11636/Record.2023.575</div>

Metadata constraints

Title: Australian Government Security Classification System

Edition date: 2018-11-01T00:00:00

Website

https://www.protectivesecurity.gov.au/Pages/default.aspx

Classification: Unclassified

Metadata

Metadata identifier

urn:uuid/e0bb1a45-22b6-432b-a791-3df1782e9578

Title: GeoNetwork UUID

Language: English

Character encoding: UTF8

Contact

Role	Organisation / Individual Name	Details
Point of contact	Commonwealth of Australia (Geoscience Australia)	Voice
Point of contact	Kilgour, P.	Internal Contact

Type of resource

Resource scope: Dataset

Alternative metadata reference

Title

Geoscience Australia - short identifier for metadata record with

uuid

Citation identifier: eCatId/148626

Metadata linkage

https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/e0bb1a45-22b6-432b-a791-3df1782e9578

Date info (Creation): 2023-08-10T00:22:06

Date info (Revision): 2023-08-10T00:22:06

Metadata standard

Title: AU/NZS ISO 19115-1:2014

Metadata standard

Title: ISO 19115-1:2014

Metadata standard

Title: ISO 19115-3

Title: Geoscience Australia Community Metadata Profile of ISO 19115-1:2014

Edition: Version 2.0, September 2018

Citation identifier: http://pid.geoscience.gov.au/dataset/ga/122551

Spatial extent

Provided by

Access to the portal

Read here the full details and access to the data.

Associated resources

Not available

Simple

Identification info

Extent

Resource format

Resource constraints

Resource constraints

Associated resource

Associated resource

Associated resource

Associated resource

Distribution Information

Resource lineage

Metadata constraints

Metadata

Type of resource

Alternative metadata reference

Metadata standard

Metadata standard

Metadata standard

Spatial extent

Keywords

Provided by

Associated resources