Talk: Harry Cook and Joseph Avis (Argans)

Wednesday 25 November 2020

4pm - 5pm

Online - Zoom

  • Clubs & Societies

Talk: Harry Cook and Joseph Avis (Argans)

About us-

Joseph joined ARGANS in October 2018 after completion of MSc Remote Sensing and GIS from Aberystwyth University. His thesis was aimed at the use of remote sensing in monitoring the movement of suspended sediment within tropical river systems and the impact on mangrove forests. Joseph’s background is within physical geography and he has used remote sensing within a wide range of different applications with a keen interest in geomorphology. He is now the Technical Lead for the SDB project.

Harry has recently graduated with a Bsc in Geography from the University of Plymouth. His dissertation thesis specialised in using remote sensing techniques and GIS to model the impacts of climate change to the Mesoamerican Barrier Reef System. He has developed a profound interest in the application of earth observation for marine ecosystem management instigated from his experience sailing on tall ships. Harry has returned to work with ARGANS after a successful student placement and now works as part of the Satellite Derived Bathymetry and Marine Litter teams while studying part-time for his Master’s in Earth Observation.

About our work-

SDB -
Coastal waters are dynamic and changing environments. Deriving bathymetry from satellites has key benefits being more cost effective, available for remote and inaccessible areas and quicker to delivery than traditional methods. ARGANS has developed innovative methodologies for generating IHO-compliant nautical charts derived from satellite multi-spectral images processed using an adaptive look-up table physics-based inversion technique.

Marine Litter -
Introducing an innovative approach to detecting Marine Litter in coastal waters around the world. The EO Tracking of Marine Debris project utilises high resolution earth observation data to detect floating debris in the marine environment. ARGANS lead an ESA funded feasibility project looking at the detection of seaborne marine plastic litter from space, potentially charting its highest concentrations, by identifying a distinct SWIR spectral signature of plastic picked up from orbit. Using a debris detection processor to analyse Sentinel-2 images, they can detect rafts of litter and vegetation floating on the sea surface.

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