People > Benjamin Taylor

Benjamin Taylor

Remote Sensing Scientist



Contact Details

+44 (0)1752 633100 (switchboard)

benj21/10/2017 06:05:35@pml.ac.uk

Mr Ben Taylor is a Remote Sensing Scientist who has worked in the Remote Sensing Group at PML since December 2007. He studied Computer Science at the University of Warwick, graduating in 2002, and subsequently worked as a computer programmer in a commercial software house for four years. In 2006/7 he studied at the National Oceanography Centre, Southampton, obtaining an MSc in Oceanography from the University of Southampton.

His combination of industry computing experience and oceanographic training made him well-suited for PML's Remote Sensing Group with its emphasis on automated data processing systems, and he was initially taken on to work in the Natural Environment Research Council (NERC) Airborne Research and Survey Facility Data Analysis Node (ARSF-DAN), hosted at PML.

Ben currently manages the day-to-day operation of part of two NERC Services and Facilities, both ARSF-DAN and the NERC Earth Observation Data Acquisition and Analysis Service (NEODAAS) Plymouth node. This involves management of staff and computing resources to handle large volumes of data for provision to facility users on request, along with a technical role in service development and maintenance. Ben also has a significant technical role in service development and maintenance.

Ben has interests in automated data processing systems, scientific data management and airborne spectrometer calibration.


Recent publications

  • Brewin, RJW; de Mora, L; Billson, O; Jackson, T; Russell, P; Brewin, TG; Shutler, J; Miller, PI; Taylor, BH; Smyth, TJ; Fishwick, J. 2017 Evaluating operational AVHRR sea surface temperature data at the coastline using surfers. Estuarine, Coastal and Shelf Science, 196. 276-289. https://doi.org/10.1016/j.ecss.2017.07.011
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  • Warren, MA; Taylor, BH; Grant, MG; Shutler, JD. 2014 Data processing of remotely sensed airborne hyperspectral data using the Airborne Processing Library (APL): Geocorrection algorithm descriptions and spatial accuracy assessment. Computers & Geosciences, 64. 24-34. 10.1016/j.cageo.2013.11.006
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  • Taylor, BH; Groom, SB; Miller, PI; Lonie, N; Parkes, S. 2015 NEODAAS: Providing satellite data for efficient research. In: Matsuo, Naoko; Kamei, Masatoshi; Akiyama, Koji; Ward, Stephen; Steventon, Matthew; Harry, Jennifer, (eds.) Applications of Satellite Earth Observations: Serving Society, Science, & Industry. Japan, Committee on Earth Observation Satellites (CEOS), 212-214.
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  • Marrec, P; Cariou, T; Mace, E; Morin, P; Salt, L.A.; Vernet, M; Taylor, B; Paxman, K; Bozec, Y. 2015 Dynamics of air–sea CO2 fluxes in the northwestern European shelf based on voluntary observing ship and satellite observations. Biogeosciences, 12. 5371-5391. 10.5194/bg-12-5371-2015
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  • Tilstone, GH; Taylor, BH; Blondeau-Patissier, D; Powell, T; Groom, SB; Rees, AP; Lucas, MI. 2015 Comparison of new and primary production models using SeaWiFS data in contrasting hydrographic zones of the northern North Atlantic.. Remote Sensing of Environment, 156. 473-489. 10.1016/j.rse.2014.10.013
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  • Caballero, A; Ferrer, L; Rubio, A; Charria, G; Taylor, BH; Grima, N. 2014 Monitoring of a quasi-stationary eddy in the Bay of Biscay by means of satellite, in situ and model results [in special issue: Oceanography of the Bay of Biscay] Deep Sea Research Part II: Topical Studies in Oceanography, 106. 23-37. 10.1016/j.dsr2.2013.09.029
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Other activities

NERC Earth Observation Data Acquisition and Analysis Service Steering Committee