This web service provides access to satellite imagery products for the identification of potential groundwater dependent ecosystems (GDEs) in the South Nicholson - Georgina region.

This web service provides access to satellite imagery products for the identification of potential groundwater dependent ecosystems (GDEs) in the South Nicholson - Georgina region.

This web service provides access to satellite imagery products for the identification of potential groundwater dependent ecosystems (GDEs) in the South Nicholson - Georgina region.

The Groundwater Dependent Waterbodies (GDW) dataset is a subset of the Digital Earth Australia (DEA) Waterbodies product that has been combined with the Bureau of Meteorology’s national Groundwater Dependent Ecosystem (GDE) Atlas to produce surface waterbodies that are known/high potential aquatic GDEs. These aquatic GDEs include springs, rivers, lakes and wetlands. Where known/high potential GDEs intersected a DEA waterbody, the entire DEA waterbody polygon was retained and assigned as a GDW. Additional attributes were added to the waterbody polygons to indicate amount of overlap the waterbody had with the GDE(s) as well as the minimum, mean, median and maximum percentage of time that water has been detected in each GDW relative to the total number of clear observations (1986 to present). This web service will display a variety of layers with spatial summary statistics of the GDW dataset. These provide a first-pass representation of known/high potential aquatic GDEs and their surface water persistence, derived consistently from Landsat satellite imagery across Australia.

The Groundwater Dependent Waterbodies (GDW) dataset is a subset of the Digital Earth Australia (DEA) Waterbodies product that has been combined with the Bureau of Meteorology’s national Groundwater Dependent Ecosystem (GDE) Atlas to produce surface waterbodies that are known/high potential aquatic GDEs. These aquatic GDEs include springs, rivers, lakes and wetlands. Where known/high potential GDEs intersected a DEA waterbody, the entire DEA waterbody polygon was retained and assigned as a GDW. Additional attributes were added to the waterbody polygons to indicate amount of overlap the waterbody had with the GDE(s) as well as the minimum, mean, median and maximum percentage of time that water has been detected in each GDW relative to the total number of clear observations (1986 to present). This web service will display a variety of layers with spatial summary statistics of the GDW dataset. These provide a first-pass representation of known/high potential aquatic GDEs and their surface water persistence, derived consistently from Landsat satellite imagery across Australia.

<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">Tasseled Cap percentile products</a> 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 <a href="https://dx.doi.org/10.26186/149377">report</a>. </div><div><br></div><div><strong>References</strong></div><div>Digital Earth Australia (2023).&nbsp;<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.&nbsp;<em>Australian groundwater-dependent ecosystem toolbox part 1: Assessment framework.</em>&nbsp;Waterlines Report 69. Canberra, Australia: Waterlines.</div><div><br></div>

This report presents key results from the Upper Burdekin Groundwater Project conducted as part of Exploring for the Future (EFTF)—an eight year Australian Government funded geoscience data and information acquisition program. The first four years of the Program (2016–20) aimed to better understand the potential mineral, energy and groundwater resources in northern Australia. The Upper Burdekin Groundwater Project focused on the McBride Basalt Province (MBP) and Nulla Basalt Province (NBP) in the Upper Burdekin region of North Queensland. It was undertaken as a collaborative study between Geoscience Australia and the Queensland Government. This document reports the key findings of the project, as a synthesis of the hydrogeological investigation project and includes maps and figures to display the results.