Watching the Belt: monitoring and forecasting sargassum across the Atlantic

André Valente leads the Space Systems and Applications programme at the AIR Centre and is involved in various regional and EU-funded projects, working at the intersection of Earth observation, ocean science, and applied research. He holds a Degree in Meteorology and Physical Oceanography from the University of Lisbon, a postgraduation in Ocean Remote Sensing from the University of Southampton, and a PhD in Environmental Sciences from the University of Azores, and previously worked as a researcher at the Center of Oceanography and MARE Centre of the University of Lisbon. He specializes in the integration of Earth Observation satellite data, models and in-situ observations, and development of remote sensing methods, for different types of applications in the fields of ocean colour, physical oceanography, ocean climate variability, physical-biological interactions and plastic pollution.

Dr. Barnes is a Research Associate Professor in the Optical Oceanography Lab at the University of South Florida College of Marine Science. His research focuses on assessment and monitoring of coastal systems from satellite remote sensing platforms. Specific research focuses include improving coastal water quality derivations, detection of floating matters (e.g., the macroalgae Sargassum), optically shallow waters, and calibration of satellite sensors and algorithms. A key component of his work is distribution of satellite data to inform resource managers and the broader public. He is currently an Associate Editor for Estuaries and Coasts, as well as a member of the NASA PACE Science and Applications Team and several international working groups covering these research topics.

Dr. José Manuel Echevarría Rubio is a marine data scientist specializing in satellite remote sensing, and ocean transport modeling. He holds a PhD in Marine Sciences from CICIMAR-IPN (Mexico), and was recently a Nippon Foundation-POGO Centre of Excellence fellow in Observational Oceanography in Canada. His research focuses on integrating ML frameworks with Lagrangian particle-tracking models (OpenDrift and OceanParcels) and multi-sensor satellite imagery (Landsat-8/9 OLI and Sentinel-2 MSI) to improve trajectory forecasting, mesoscale velocity corrections, and coastal early-warning systems for pelagic Sargassum across the Equatorial Atlantic and Caribbean Sea.

Dr. Marc Lucas is a senior oceanographer at CLS. He holds a BSc in ocean Science from the University of Plymouth UK, an MSc in Oceanography and a PhD in Physical Oceanography both from the University of Southampton, UK. After 3 post Docs in France and Germany mostly focused on numerical modelling, he joined the CLS team dedicated to providing metocean services to the Offshore Energy industry. He then joined the CLS Environmental Monitoring Division with a focus on the use and interpretation of combined Satellite, in situ and model data. Since 2018, he has been working on Sargassum detection by satellite and has helped develop the CLS SAMTool monitoring solution. He now leads the CLS Sargassum Task force, coordinating the development of state of the art customer focused solutions.

Dr. Putman works for the private research company, LGL Ecological Research Associates in Bryan, Texas USA. He conducts empirical studies on organismal traits relevant to understanding the mechanisms of movement to parameterize simulations of individual movements within realistic environmental models. By explicitly considering the interaction between the organism and environment (mediated by physiology, sensory processing , and behavior), this approach is more sensitive than traditional modelling/mapping techniques to predict shifts in distribution and abundance in response to changing environmental conditions. His work includes a diverse range of topics: monitoring fisheries effort, studying geomagnetic navigation in marine migrants, using ocean circulation models to explore marine connectivity, and conducting studies on pelagic Sargassum to improve forecasts of coastal inundations. Since 2007 he has contributed more than 90 peer-reviewed publications to the scientific literature related to marine organism movement, with ~15 focused on Sargassum.

Uriel de Jesús Mendoza Castillo holds a degree in Geomatics from UNAM and a Master’s degree in Geospatial Information Science from CentroGeo. His work focuses on satellite image processing, remote sensing, deep learning applied to Earth observation, spatial data infrastructures, and the development of geospatial web platforms for environmental monitoring, with a particular emphasis on sargassum detection and forest fire severity. Since 2018, he has been part of the LANOT team, contributing to the automation of the sargassum detection algorithm based on Sentinel-2 imagery and the development of its operational monitoring platform. He is a co-author of peer-reviewed publications on satellite monitoring of sargassum in the Mexican Caribbean and a member of the 2025 Early Career Ocean Professionals (ECOP) program.