M
Mike Grant
Researcher at Plymouth Marine Laboratory
Publications - 42
Citations - 1446
Mike Grant is an academic researcher from Plymouth Marine Laboratory. The author has contributed to research in topics: SeaWiFS & Gait (human). The author has an hindex of 18, co-authored 40 publications receiving 1154 citations. Previous affiliations of Mike Grant include University of Southampton.
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Book ChapterDOI
On a Large Sequence-Based Human Gait Database
TL;DR: A large human gait database is designed and built, providing a large multi-purpose dataset enabling the investigation of gait as a biometric and is also a useful database for many still and sequence based vision applications.
Journal ArticleDOI
An ocean-colour time series for use in climate studies: The experience of the ocean-colour climate change initiative (OC-CCI)
Shubha Sathyendranath,Robert J. W. Brewin,Carsten Brockmann,Vanda Brotas,Ben Calton,Andrei Chuprin,Paolo Cipollini,André Belo Couto,James Dingle,Roland Doerffer,Craig Donlon,Mark Dowell,Alex Farman,Mike Grant,Steve Groom,Andrew Horseman,Thomas Jackson,Hajo Krasemann,Samantha Lavender,Victor Martinez-Vicente,Constant Mazeran,Frédéric Mélin,Timothy S. Moore,Dagmar Muller,Peter Regner,Shovonlal Roy,Chris J. Steele,François Steinmetz,John Swinton,Malcolm Taberner,Adam Thompson,André Valente,Marco Zuhlke,Vittorio E. Brando,Hui Feng,Gene C. Feldman,Bryan A. Franz,Robert Frouin,Richard W. Gould,Stanford B. Hooker,Mati Kahru,Susanne Kratzer,B. Greg Mitchell,Frank E. Muller-Karger,Heidi M. Sosik,Kenneth J. Voss,Jeremy Werdell,Trevor Platt +47 more
TL;DR: This paper outlines an approach that was adopted for generating an ocean-colour time series for climate studies, using data from the MERIS (MEdium spectral Resolution Imaging Spectrometer) sensor of the European Space Agency; the SeaWiFS (Sea-viewing Wide-Field-of-view Sensor) and MODIS-Aqua (Moderate-resolution Imaging Spectroradiometer- aqua) sensors from the National Aeronautics and Space Administration (USA); and VIIRS
Journal ArticleDOI
The Ocean Colour Climate Change Initiative: III. A round-robin comparison on in-water bio-optical algorithms
Robert J. W. Brewin,Shubha Sathyendranath,Dagmar Muller,Carsten Brockmann,Pierre-Yves Deschamps,Emmanuel Devred,Roland Doerffer,Norman Fomferra,Bryan A. Franz,Mike Grant,Steve Groom,Andrew Horseman,Chuanmin Hu,Hajo Krasemann,Zhongping Lee,Stéphane Maritorena,Frédéric Mélin,Marco Peters,Trevor Platt,Peter Regner,Timothy J Smyth,François Steinmetz,John Swinton,Jeremy Werdell,George N. White +24 more
TL;DR: An objective methodology designed to rank the quantitative performance of a suite of bio-optical models using the NASA bio-Optical Marine Algorithm Dataset has the potential to be routinely implemented, such that the performance of emerging algorithms can be compared with existing algorithms as they become available.
Journal ArticleDOI
Big Data Analytics for Earth Sciences: the EarthServer approach
Peter Baumann,Paolo Mazzetti,Joachim Ungar,Roberto Barbera,Damiano Barboni,Alan Beccati,Lorenzo Bigagli,Enrico Boldrini,Riccardo Bruno,Antonio Calanducci,Piero Campalani,D. Oliver Clements,Alex Mircea Dumitru,Mike Grant,Pasquale Herzig,George Kakaletris,J.L. Laxton,Panagiota Koltsida,Kinga Lipskoch,Alireza Rezaei Mahdiraji,Simone Mantovani,Vlad Merticariu,Antonio Messina,Dimitar Misev,Stefano Natali,Stefano Nativi,J. H. P. Oosthoek,Marco Pappalardo,James Passmore,Angelo Pio Rossi,Francesco Rundo,Marcus Sen,Vittorio Sorbera,Donald V. Sullivan,Mario Torrisi,Leonardo Trovato,Maria Grazia Veratelli,Sebastian Wagner +37 more
TL;DR: The EarthServer Big Earth Data Analytics engine offers a solution for coverage-type datasets, built around a high performance array database technology, and the adoption and enhancement of standards for service interaction (OGC WCS and WCPS).
Journal ArticleDOI
The Ocean Colour Climate Change Initiative: I. A methodology for assessing atmospheric correction processors based on in-situ measurements
Dagmar Muller,Hajo Krasemann,Robert J. W. Brewin,Carsten Brockmann,Pierre-Yves Deschamps,Roland Doerffer,Norman Fomferra,Bryan A. Franz,Mike Grant,Steve Groom,Frédéric Mélin,Trevor Platt,Peter Regner,Shubha Sathyendranath,François Steinmetz,John Swinton +15 more
TL;DR: The presented methodology is intended to be used in an algorithm selection process, and the scope of the methodology rather than the properties of the individual processors are focused on.