[ABE-L] Seminar PGEST (UFPE) - A new improved model for predicting the level of chlorophyll-a in the oceans using satellite imaging
THYAGO CELSO CAVALCANTE NEPOMUCENO
thyago.nepomuceno em ufpe.br
Dom Nov 3 11:12:35 -03 2024
We would like to kindly share this invitation for the seminar "A new
improved model for predicting the level of chlorophyll-a in the oceans
using satellite imaging" by Professor Robert Rigby from the School of
Computing and Mathematical Sciences, Greenwich University, London, UK. The
seminar will be online (https://meet.google.com/sbi-cgyy-zqv) next
Wednesday at 2pm local time (UTC -3), 5pm Greenwich Mean Time (UTC+0).
*Abstract*: The detection of the level of chlorophyll-a in the oceans using
satellite imaging is a very important tool for monitoring phytoplankton
abundance, eutrophication status and the risk of harmful algae blooms. A
new methodology is introduced, which outperforms the current NASA
methodology. This new methodology is based on Generalized Additive Models
for Location, Scale, and Shape (GAMLSS). In this talk, we will introduce
the GAMLSS methodology and explain its application to predicting the level
of chlorophyll-a in the oceans using satellite imaging. The model uses the
intensities of different colour bandwidths (obtained from the satellite
imaging) to obtain a predicted distribution of the level of chlorophyll-a
in each satellite pixel, producing a global map of chlorophyll-a in the
oceans. Our analysis was published recently in the “Journal of
Photogrammetry and Remote Sensing”: A novel algorithm for ocean
chlorophyll-a concentration using MODIS Aqua data (
https://www.sciencedirect.com/science/article/pii/S0924271624000868).
*About Dr. Rigby*: He is a Professor of Statistics in the School of
Computing and Mathematical Sciences, at the University of Greenwich,
London, U.K. He has been researching statistical modelling for over 30
years and is the joint developer (with Professor Mikis Stasinopoulos) of
the Generalized Additive Models for Location, Scale, and Shape (GAMLSS),
which was a Read paper delivered to the UK Royal Statistical Society and
published in 2005. It has over 3000 citations in google scholar (see also
the website http://www.gamlss.org). The GAMLSS model is the most popular
distributional regression model. The GAMLSS software is freely available in
the R gamlss packages. He is also an author of two books on gamlss, many
journal publications, and two impact case studies submitted to the UK
REF2021 which were both given the highest assessment, 4* World Leading.
[image: 7. Seminário Robert Rigby (2024.2).png]
Kind regards
--
Thyago Nepomuceno
Assistant Professor - Departament of Statistics - CCEN - Universidade
Federal de Pernambuco
Deputy Coordinator of Masters and PhD. Programs in Statistics -
Universidade Federal de Pernambuco
Bolsista de Produtividade em Pesquisa PQ2 - Conselho Nacional de Des.
Científico e Tecnológico (CNPq)
Research Fellow - Department of Computer, Control, and Management
Engineering - Sapienza University of Rome
Editor in chief of Socioeconomic Analytics
<https://periodicos.ufpe.br/revistas/index.php/SECAN/index>
Contatos: thyago.nepomuceno em ufpe.br; nepomuceno em diag.uniroma1.it
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Recent publications: MCDA Distance Functions (DEA)
<https://doi.org/10.1016/j.omega.2024.103044>, Panel Data Envelopment
Analysis (DEA) <https://doi.org/10.1108/IJSE-11-2022-0767>, Maritime
Transportation Efficiency (DEA)
<http://dx.doi.org/10.1080/03088839.2023.2252431>, Knowledge Benchmarking
(DEA) <https://onlinelibrary.wiley.com/doi/abs/10.1111/exsy.12967>, Webpage
Performance (DEA) <http://dx.doi.org/10.3390/data8080134>, Systematic
Reviews as a Metaknowledge (Bibliometrics)
<https://onlinelibrary.wiley.com/doi/10.1111/itor.13309>, Information
Security (Bibliometrics) <http://dx.doi.org/10.3390/fi15120393>, State of
the Art on DEA (Bibliometrics)
<https://doi.org/10.1504/IJOR.2023.129960>, Review
of Hospitals' Efficiency (Bibliometrics)
<https://www.mdpi.com/2227-9032/10/7/1316>, Innovation Hubs (MCDA)
<http://dx.doi.org/10.3390/info14030169>, Relational Governance (ITO)
<http://dx.doi.org/10.1108/ARLA-10-2022-0182>, Bedouin Syndrome
(Econometrics) <https://www.mdpi.com/1660-4601/19/15/9711>, COVID-19
Mobility Impact (Econometrics)
<http://www.aimspress.com/article/doi/10.3934/mbe.2022332>.
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<http://lattes.cnpq.br/4815452948320665>
<https://orcid.org/0000-0001-8327-6472>
<https://www.researchgate.net/profile/Thyago-Nepomuceno-2>
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<https://scholar.google.com.br/citations?user=xvNP0ioAAAAJ&hl=pt-BR&oi=ao>
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<https://www.ufpe.br/caa> <https://www.ufpe.br/ccen>
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