Data

Potential groundwater dependent ecosystems in the South Nicholson - Georgina Basin identified using Landsat satellite data

Geoscience Australia
Kilgour, P. ; Symington, N.
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26186/149293&rft.title=Potential groundwater dependent ecosystems in the South Nicholson - Georgina Basin identified using Landsat satellite data&rft.identifier=10.26186/149293&rft.publisher=Commonwealth of Australia (Geoscience Australia)&rft.description=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 Tasseled Cap percentile products created by Digital Earth Australia (2023) were used to identify potential GDEs for the South Nicholson-Georgina basins 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 percentile 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 Tasseled Cap greenness (TCG) and Tasseled Cap wetness (TCW) products were used as the basis for the assessment of GDEs for the South Nicholson-Georgina region. The 50th percentile greenness was utilised to create the coefficient of variance (CV) dataset.This data release is an ESRI geodatabase, with layer files, including: - combined classified 10th percentile greenness and wetness dataset (useful to identify potential groundwater dependent vegetation/other GDEs and differentiate between vegetation types) - CV of 50th percentile greenness dataset (useful when used in conjunction with the combined product to help identify groundwater dependent vegetation) For more information and detail on these products, refer to associated report.ReferencesDigital Earth Australia (2023). Digital Earth Australia User Guide.Richardson, S., E. Irvine, R. Froend, P. Boon, S. Barber, and B. Bonneville. 2011a. Australian groundwater-dependent ecosystem toolbox part 1: Assessment framework. Waterlines Report 69. Canberra, Australia: Waterlines.Maintenance and Update Frequency: notPlannedStatement: For the South Nicholson – Georgina Basin, 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– Aug 2023). Since there is currently no multi-year summary product based on the Collection 3 data, as per the Collection 2 data, a script was written in DEA Sandbox (https://app.sandbox.dea.ga.gov.au/) to extract all years and calculate the median of the percentiles (10th, 50th, 90th) for the whole time period. 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. The datasets created include:-      coefficient of variation of 50th percentile greenness dataset, created by modifying the above script and replacing ‘median’ with ‘std’ and ‘mean’ respectively, 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-      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.-      classified 10th percentile greenness and wetness datasets (used as input for the combined classified dataset). These were created based on their normally distributed data using the mean and 0.5 standard deviations and classified into nine classes. -      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, Kilgour et al., 2023).Reference:Kilgour P and Dixon-Jain P (2024) Groundwater Dependent Ecosystems: Remote sensing methods for regional scale mapping and characterisation of terrestrial ecosystems. Record 2024/32. Geoscience Australia, Canberra. https://dx.doi.org/10.26186/149377&rft.creator=Kilgour, P. &rft.creator=Symington, N. &rft.date=2024&rft.coverage=westlimit=129; southlimit=-26; eastlimit=138; northlimit=-11; projection=Geocentric Datum of Australia 1994 / geodetic (EPSG: 6283)&rft.coverage=westlimit=129; southlimit=-26; eastlimit=138; northlimit=-11; projection=Geocentric Datum of Australia 1994 / geodetic (EPSG: 6283)&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=(c) Commonwealth of Australia (Geoscience Australia) 2024&rft_rights=Australian Government Security Classification System https://www.protectivesecurity.gov.au/Pages/default.aspx&rft_subject=geoscientificInformation&rft_subject=EFTF – Exploring for the Future&rft_subject=South Nicholson Basin&rft_subject=Georgina Basin&rft_subject=Remote sensing&rft_subject=Landsat&rft_subject=Groundwater Dependent Ecosystem&rft_subject=GDE&rft_subject=NT&rft_subject=Northern Territory&rft_subject=groundwater dependent vegetation&rft_subject=QLD&rft_subject=Tasseled Cap&rft_subject=Groundwater hydrology&rft_subject=Published_External&rft.type=dataset&rft.language=English Access the data
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Full description

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 Tasseled Cap percentile products created by Digital Earth Australia (2023) were used to identify potential GDEs for the South Nicholson-Georgina basins 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 percentile 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 Tasseled Cap greenness (TCG) and Tasseled Cap wetness (TCW) products were used as the basis for the assessment of GDEs for the South Nicholson-Georgina region. The 50th percentile greenness was utilised to create the coefficient of variance (CV) dataset.

This data release is an ESRI geodatabase, with layer files, including:

- combined classified 10th percentile greenness and wetness dataset (useful to identify potential groundwater dependent vegetation/other GDEs and differentiate between vegetation types)

- CV of 50th percentile greenness dataset (useful when used in conjunction with the combined product to help identify groundwater dependent vegetation)

For more information and detail on these products, refer to associated report.

References
Digital Earth Australia (2023). Digital Earth Australia User Guide.
Richardson, S., E. Irvine, R. Froend, P. Boon, S. Barber, and B. Bonneville. 2011a. Australian groundwater-dependent ecosystem toolbox part 1: Assessment framework. Waterlines Report 69. Canberra, Australia: Waterlines.

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Maintenance and Update Frequency: notPlanned
Statement:
For the South Nicholson – Georgina Basin, 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– Aug 2023). Since there is currently no multi-year summary product based on the Collection 3 data, as per the Collection 2 data, a script was written in DEA Sandbox (https://app.sandbox.dea.ga.gov.au/) to extract all years and calculate the median of the percentiles (10th, 50th, 90th) for the whole time period. 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. 

The datasets created include:

-      coefficient of variation of 50th percentile greenness dataset, created by modifying the above script and replacing ‘median’ with ‘std’ and ‘mean’ respectively, 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

-      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.

-      classified 10th percentile greenness and wetness datasets (used as input for the combined classified dataset). These were created based on their normally distributed data using the mean and 0.5 standard deviations and classified into nine classes.

-      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, Kilgour et al., 2023).

Reference:
Kilgour P and Dixon-Jain P (2024) Groundwater Dependent Ecosystems: Remote sensing methods for regional scale mapping and characterisation of terrestrial ecosystems. Record 2024/32. Geoscience Australia, Canberra. https://dx.doi.org/10.26186/149377

Notes

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

Created: 05 02 2024

Issued: 07 08 2024

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138,-11 138,-26 129,-26 129,-11 138,-11

133.5,-18.5

text: westlimit=129; southlimit=-26; eastlimit=138; northlimit=-11; projection=Geocentric Datum of Australia 1994 / geodetic (EPSG: 6283)

Subjects
EFTF – Exploring for the Future | GDE | Georgina Basin | Groundwater Dependent Ecosystem | Groundwater hydrology | Landsat | NT | Northern Territory | Published_External | QLD | Remote sensing | South Nicholson Basin | Tasseled Cap | geoscientificInformation | groundwater dependent vegetation |

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Download Data (gdb png lyrx xml) [2.7 GB]

url : https://d28rz98at9flks.cloudfront.net/149293/149293_00_0.zip

South Nicholson - Georgina Basin Groundwater Dependent Ecosystems Imagery WMTS

url : https://services.ga.gov.au/gis/groundwater-grids/sng_gde_grids/gwc/service/wmts

South Nicholson - Georgina Basin Groundwater Dependent Ecosystems Imagery WCS

url : https://services.ga.gov.au/gis/groundwater-grids/sng_gde_grids/wcs

South Nicholson - Georgina Basin Groundwater Dependent Ecosystems Imagery WMS

url : https://services.ga.gov.au/gis/groundwater-grids/sng_gde_grids/wms

Hydrogeology and groundwater systems of the South Nicholson and Georgina basins, Queensland and Northern Territory

local : 149367

South Nicholson - Georgina Basin Groundwater Dependent Ecosystems Imagery WMS

local : 149831

South Nicholson - Georgina Basin Groundwater Dependent Ecosystems Imagery WCS

local : 149832

South Nicholson - Georgina Basin Groundwater Dependent Ecosystems Imagery WMTS

local : 149833

Identifiers
ACN 633 798 857