Research student’s zoom progress talk

Event status:

You are welcome to attend the following Statistics and Stochastic colloquium (part of the Colloquium Series of the Department of Mathematics and Statistics) at La Trobe University.

Date:
Thursday 01 October 2020 01:00 pm (Add to calendar)
Contact:
Andriy Olenko
a.olenko@latrobe.edu.au
Presented by:
Mason Terrett
Type of Event:
Seminar/Workshop/Training

Title: SARGDV: Efficient identification of groundwater-dependent vegetation using synthetic aperture radar

Abstract: Groundwater depletion impacts the sustainability of numerous groundwater-dependent vegetation (GDV) globally, placing significant stress on their capacity to provide environmental and ecological support for flora, fauna, and anthropic benefits. Cost effective methods of GDV identification will enable strategic protection of these critical ecological systems, through improved and sustainable groundwater management by communities and industry. Recent application of synthetic aperture radar (SAR) earth observation data in Australia has demonstrated the utility of radar for identifying terrestrial groundwater-dependent ecosystems at scale. Our research included the development of SARGDV, a binary classification model, which uses the extreme gradient boosting (XGBoost) algorithm in conjunction with three data cubes composed of Sentinel-1 SAR interferometric wide images. Our method may be used to support the protection of GDV communities globally by providing a long term, cost-effective solution to identify GDVs over variable regions and climates, via the use of freely available, high-resolution, globally available Sentinel-1 SAR data sets. Our method offers global water management agencies a means toward more sustainable management of regional groundwater resources by providing an efficient method to identify significant GDV occurrence within areas where substantial groundwater extraction is ongoing.

ZOOM LINK: https://latrobe.zoom.us/j/98357628534

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