Projects
Current
- 3D-AGB: Modelling the three-dimensional distribution of aboveground biomass – this project aims to develop new methods to use LIDAR to estimate the above ground biomass for use in carbon estimation.
- Learning and transferring groundwater level dynamics across alluvial aquifers. – this project aims to develop and assess machine learning methods for groundwater level estimation, and then assess the suitability of the models for application in other catchments and regions.
- Australian Flood Analytics – this project aims to use ML models to emulate hydrodynamic models, and to estimate in stream hydraulic properties such as velocity which are important for ecosystem health.
- Integrated physical system and AI/ML modelling of water quality and quantity – this project aims to develop hybrid physics, biophysical and machine learning models to estimate dissolved oxygen in freshwater systems.
- Seamless merging of DEM’s – this project is developing new methods to produce the highest composite resolution hydrologically enforced DEM using multi-resolution datasets.
Completed
- A cloud-based dynamic ecosystem modelling platform for bushfire fuel prediction – this project investigated how a dynamic ecosystem modelling capability could be constructed in the cloud for a variety of purposes including bush fire fuel prediction.
- Monitoring ring-tanks dynamics – this project uses remote sensed data to estimate large of river irrigation storage (ring tanks ) providing estimates of cross section and volume.
- Exploring pathways for digital delivery of environmental datasets via APIs. – this project investigated how to deliver spatial data using API’s in an automated workflow.
- Environmental Digital Twins: A framework for collaborative digital landscape science – this project attempts to define what is an environmental digital twin, and what differentiates it form an integrated environmental model.
- Groundwater Knowledge and Integration System (GKIS) – this project investigates how to calculate sustainable groundwater extraction.
- HydroKG – A national hydrological knowledge graph for Australia – this project developed streamlined access to the hydrological reference geographic features and observation data.