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Various remote sensing applications (e.g. ASTER, Landsat and MODIS systems) can be very useful for different geoscientific applications. One such use is identifying surface expression of faults by assessing differences in variations in key mineralogical groups or vegetation. Due to time constraints, it was not possible to use remote sensing data in this BA, but their usefulness to identify surface expression of faults will be further explored as part of a CSIRO strategic project (‘Next generation methods and capability for multi-scale cumulative impact assessment and management’ sub-theme ‘Tracer-based improvement of groundwater model conceptualisation and predictability’).
Last updated:
8 January 2018
Summary and download
Product Finalisation date
2016
PRODUCT CONTENTS
- 2.1.1 Geography
- 2.1.2 Geology
- 2.1.2.1 Methods
- 2.1.2.2 Observed data
- 2.1.2.3 Statistical analysis and interpolation
- 2.1.2.3.1 Three-dimensional geological model workflow
- 2.1.2.3.2 Definition of the stratigraphic column
- 2.1.2.3.3 Selection of input datasets
- 2.1.2.3.4 Representation of structural elements in the three-dimensional geological model
- 2.1.2.3.5 Characterisation of binding horizons of shallow aquifers (alluvium and basalt)
- 2.1.2.3.6 Characterisation of the bedrock stratigraphic units in the Clarence-Moreton bioregion
- 2.1.2.3.7 Isopach maps, depth to formation top and depth to base of formation
- 2.1.2.4 Gaps
- References
- Datasets
- 2.1.3 Hydrogeology and groundwater quality
- 2.1.4 Surface water hydrology and water quality
- 2.1.5 Surface water – groundwater interactions
- 2.1.6 Water management for coal resource developments
- Glossary
- Citation
- Acknowledgements
- Contributors to the Technical Programme
- About this technical product
ASSESSMENT
ASSESSMENT COMPONENT