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Contact details

Group:

Marine Physics and Ocean Climate

Site:

Southampton

Email:

clive.neil at noc.ac.uk

Profile

Biography

I have a background in signal and image processing from previously positions in the hydro-carbon exploration industry and have also worked as an IT consultant. At NOC my main role is processing SAR and optical satellite data for coastal applications. Projects have included coastal monitoring for UK and global locations. I have used existing remote sensing techniques, such as image classification, but mostly I write proprietary code for novel and extended methodologies, for example, inter-tidal bathymetry or shoreline mapping. I also support python coding for a variety of projects, for example, Euro-Argo Rise delayed mode QC and I am currently building the infrastructure to assimilate disparate data stream to produce novel coastal ocean typologies. I have interests in python coding, big data, cloud computing, machine learning and sharing data science best practise.

Key Skills: SAR and optical satellite data processing, python coding, full software lifecycle implementation - design, build, test and deploy.

Roles

Satellite Oceanography

Scientific computer programming support

Projects

SAR-TWL

Wrtiting a processor to implement the SAR Temporal Waterline Method usding UK Sentinel-1 and sea-level data. Buyilding from Blueco project. ESA funded.

FOCUS

WP4 support role to provide python framework for assimilating and processing disparate data from satellites, floats, model outputs ... to create novel global typology.

ReSOW

OGC SMMR project mapping of UK sea-grass by using classification of optical Sentinel-2 satellite data.

Argo-Euro Rise

BODC project. Support programming role to implement full python work-stream for Delayed Mode Quality Control of floats in the Southern Ocean.

Blueco

Lead technical role working with Channel Coastal Observatory to explore new usess of satellite data to complement their in-situ surveys for coastal monitoring.

HydroCoastal

Supporting role to provide python programming skills and level-1 SAR processing for coastal altimetry.

ACCORD

Exploring mobile sediment in the Ganges delta, Bay of Bengal using the SAR Temporal Waterline method and Seninel-1 imigary.

Earth Observation for Sustainable Development (EO4SD)

EO4SD is a new ESA initiative which aims to achieve a step increase in the uptake of satellite-based environmental information in the IFIs regional and global programs. It will follow a systematic, user-driven approach in order to meet longer-term, strategic geospatial information needs in the individual developing countries, as well as international and regional development organizations. Marine and Coastal Resources is the division NOC is working in, comprising a range of earth observation derived services designed to provide the information required for the to support sustainable economic development for coastal regions and island states.

Links

EO4SD Marine and Coastal Resources Website
EO4SD data portal - including shoreline change data
ArcGIS StoryMap - EO4SD Shoreline change detection showcase

Commonwealth Marine Economies (CME)

The Commonwealth Marine Economies Programme has the aims to ensure marine resources that belong to Commonwealth SIDS are better understood and managed, with the aim of enabling sustainable and growing marine economies in Commonwealth SIDS that create jobs, drive national economic growth, reduce poverty, ensure food security and build resilience.

NOC's involvement ranges across disciplines within these small island states, from ocean biogeochemistry and ecosystems to marine physics and mapping.