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Abstract 2023: Niel Pendock

GRSG 34th Conference 2023 Title: Finding fairies at the bottom of your garden: gas estimation as the next challenge for remote sensing Author: Niel Pendock Estimating gasses provides a novel tool for undercover target estimation as gas can penetrate cover including vegetation, glacial till and windblown sand. Spectral unmixing is a powerful technique for gas endmember estimation with the [...]

By |November 26th, 2023|Categories: Abstracts 2023|0 Comments

Abstract 2023: Chris Hecker

GRSG 34th Conference 2023 Title: Can we classify smarter? Adding geothermal and spectral expert knowledge into the mineral classification process Author: Chris Hecker Mapping alteration minerals from visible and infrared spectral data is routinely done in the exploration for critical raw materials and geothermal resources. The resulting mineral distribution patterns are then used to home in on the most [...]

By |November 26th, 2023|Categories: Abstracts 2023|0 Comments

Abstract 2023: Lori Wickert

GRSG 34th Conference 2023 Title: Marigold on the DL Platform: An Online Cloud Compute Solution for the Management and Processing of High Volume Hyperspectral Data for Mineral Exploration Mapping in the Green Energy Transition Author: Lori Wickert The needs of the global population are evolving in response to climate change. The mining industry must adapt by seeking more raw [...]

By |November 26th, 2023|Categories: Abstracts 2023|0 Comments

Abstract 2023: Joshua Jones

GRSG 34th Conference 2023 Title: A rapid assessment of ground damage and secondary geohazards caused by the Feb 2023 Mw 7.8 Turkey-Syria earthquake using visual inspection of optical satellite imagery. Author: Joshua Jones Abstract: Following large earthquakes, it is vital to rapidly assess the locations of intense damage. As well as ensuring that aid is directed efficiently, this allows [...]

By |November 26th, 2023|Categories: Abstracts 2023|0 Comments

Abstract 2023: Sophie Mann

GRSG 34th Conference 2023 Title: Assessing Coastal Granulometry from Satellite Synthetic Aperture Radar (SAR) Data. Author: Sophie Mann Abstract: The UK's coastline has an increasing risk of erosion and associated hazards. Sediment grain size plays a crucial role in determining beach morphology and shoreline changes, however traditional surveying methods used to obtain grain size are time-consuming and costly. Therefore, [...]

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Abstract 2023: Nathan Magnall

GRSG 34th Conference 2023 Title: Applications of a continuously updated national InSAR map – New Zealand Author: Nathan Magnall Abstract: SatSense alongside GNS Science have generated a continuously updated, national, InSAR dataset for the whole of New Zealand. The result is generated from all of the available Sentinel-1 SAR imagery acquired across New Zealand since 2015. The presentation will [...]

By |November 26th, 2023|Categories: Abstracts 2023|0 Comments
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