Sunday, 29 November 2020
Digital Earth Australia Case Study: Detecting Groundwater Dependent Vegetation

Digital Earth Australia Case Study: Detecting Groundwater Dependent Vegetation

This was originally published by Digital Earth Australia.

A new tool for detecting groundwater dependent vegetation using Digital Earth Australia.

Mine dewatering is the removal of unwanted groundwater from a mine to allow rock and mineral extraction from beneath the water table. In some circumstances, this can affect the health of groundwater dependent vegetation (GDV) in the vicinity, which relies on a stable water-table for water requirements. Monitoring the potential impact of mining operations on GDV is an important compliance requirement for mining companies. However, the location of actual GDV species and selecting the best monitoring sites requires comprehensive knowledge and extensive time to set up.

Narrowing the search space to determine locations of GDV species is the first step towards establishing a time saving, cost efficient, and comprehensive monitoring program to monitor and manage dewatering activities. However, to date there is no standard tool to simplify this process.

To address this need Curtin University researchers Dr. Todd Robinson, Lewis Trotter and Dr. Adam Cross, in consultation with mining companies, Roy Hill Iron Ore and BHP, have recently developed GDV likelihood models using weighted seasonal imagery from Digital Earth Australia’s (DEA) Open Data Cube to map GDV at the press of a button.

The research team trialled their model in June 2019 at the Roy Hill iron ore mine in the Pilbara (Western Australia) using ESRI’s Collector application and tablet technology. Initial validation statistics indicate that the model was able to predict GDV species to an accuracy of 86% and the team believe with further improvements accuracy of 95% could be attained.

This sees the team achieve the first milestone towards developing an expanded monitoring project, which will fully exploits the DEA Data Cube to reconstruct the past as well as combine higher resolution imagery such as Sentinel-2 for future applications.

In December this year, the team delivered likelihood models as well as prototype tools for exploring temporal trajectories for three case studies in Western Australia. Future steps include embedding the models into user friendly applications to operationalise and facilitate scalability.

Sarah Blake, Manager Environment from Roy Hill noted, “This model when fully developed will improve the ability to protect groundwater dependent vegetation and provide timely and regular data, which is not obtainable at present.”

Further, David Mickle, Biodiversity Specialist, commented that “a tool that can be used to highlight areas of GDV will allow for a more targeted approach to ground surveys or monitoring programs. This will also aid in the search for control sites for monitoring of vegetation allowing for more scientifically robust programs to be developed.” As regulators, the Department of Water and Environmental Regulation anticipate that successful delivery of this application will represent a useful tool to support GDV assessment in the Pilbara.


Digital Earth Australia

Digital Earth Australia (DEA) is a platform that uses spatial data and images recorded by satellites orbiting our planet to detect physical changes across Australia in unprecedented detail. DEA prepares these vast volumes of Earth observation data and makes it available to governments and industry for easy use.

More information about DEA can be viewed at:

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