Plan of Action 2010-2013 (II)‏. 4.- Research lines (R+D+i)‏ Remote Sensing Marine Biosciences Marine geosciences Technological Developing Engineering.

Slides:



Advertisements
Similar presentations
2D and 3D image surface descriptors for fish otoliths classification
Advertisements

Group of Coastal Activities TEMPUS Project JEP_25236_2004 ICM curriculum adaptation to the two-level system ICM Curriculum Adaptation to the Two-level.
Work Package 2 / 3 TECHNOLOGIAL & PROCEDURAL HARMONISATION FixO3 General Assembly 14 th to the 16 th October 2014, Heraklion-CRETE Marc Nogueras, Universitat.
UNDERSTANDING OCEAN CHEMISTRY AND BIOLOGY USING REAL-TIME DATA FROM PROFILING FLOATS Kenneth Johnson, George Matsumoto Monterey Bay Aquarium Research Institute.
Towards a Video Camera Network for Early Pest Detection in Greenhouses
REMOTE SENSING Presented by: Anniken Lydon. What is Remote Sensing? Remote sensing refers to different methods used for the collection of information.
1 MANO: An AUV for Engineering and Science Research Alison Proctor.
Seasonal to Interannual Variability in Phytoplankton Biomass and Diversity on the New England Shelf Heidi M. Sosik Hui Feng In Situ Time Series for Validation.
Ocean Technology Test Bed Colin Bradley, University of Victoria John Roston, McGill University NEPTUNE Canada VENUS.
Dr. Martin T. Auer MTU Department of Civil & Environmental Engineering CE5504 Surface Water Quality Modeling Lab 5. One-Dimensional Models Thermal Stratification,
Temporal and Spatial Variability of Physical and Bio-optical Properties on the New York Bight Inner Continental Shelf G. C. Chang, T. D. Dickey Ocean Physics.
Ocean Perturbation Experiment (OPEREX) CMORE Cruise, July 30 - August 14, 2008 Objective: To explore the potential and limitations of perturbation experiments.
Parameters and instruments A. Proshutinsky, Woods Hole Oceanographic Institution Science and Education Opportunities for an Arctic Cabled Seafloor Observatory.
INTRODUCTION TO GENERAL OCEANOGRAPHY (GEOL 1033) “Few people stand at the edge of the sea without feeling awed by its size and power, and without wondering.
I ntelligent S ensor for A utonomous C leaning in livestock building - A challenge in bio-environmental engineering J. S. Strøm 1, G. Zhang 1 * and M.
Problem Description: To develop an autonomous network for monitoring aquatic environment Problem Description: To develop an autonomous network for monitoring.
LAPPEENRANTA UNIVERSITY OF TECHNOLOGY THE DEPARTMENT OF INFORMATION TECHNOLOGY 1 Computer Vision: Fundamentals & Applications Heikki Kälviäinen Professor.
Lesson: Remote sensing imagery Zirek Malikova OShTU, Software Engineering Department Module: Data Acquisition and data interpretation.
Seasonal to Interannual Variability in Phytoplankton Biomass and Diversity on the New England Shelf Heidi M. Sosik Hui Feng In Situ Time Series for Validation.
HAB Case Studies Current Automated Capabilities & Future Needs Automated submersible flow cytometry Flexible targets, ecological context (MVCO examples)
Plankton Analysis by Automated Submersible Imaging-in-Flow Cytometry: Transforming a Specialized Research Instrument into a Broadly Accessible Tool Heidi.
ProSeDaMS’ 09 April 27 th -28 th, 2009 Carine Simon Consejo superior de investigaciones científicas.
A System of Hierarchical Monitoring Methods for assessing changes in the biological and physical state of intertidal areas Partners The HIMOM team consists.
Development of the glider system In-Situ Observations MERSEA 3rd annual meeting London, IFM-GEOMAR, Kiel, Germany IMEDEA, Esporles, Spain IFREMER,
DFO National Workshop on survey design, database design and analysis of underwater video/photographic surveys. Stephen J. Smith 1, Peter Lawton 2 Pierre.
09/06/09 GOOS Regional alliances NEAR - North-East Asian Regional-GOOS Japan – Seto Inland Sea – several HAB species Korea – blooms of Cochlodinium polykrikoides.
Marine & Aquatic Sensor Arrays Ken Johnson Monterey Bay Aquarium Research Institute.
Urgent need of new tools to monitor and analyze the deep ocean processes. Underwater Vision Profiler (UVP) mounted on an underwater observatory for long.
E. Torrecilla 1, J. Piera 1, I.F. Aymerich 1, S. Pons 1, O.N. Ross 1, M. Vilaseca 2 1 Marine Technology Unit (UTM), Spanish Research Council (CSIC), Barcelona,
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.
Ifremer French Research Institute for the Exploitation of the Sea.
Welcome to ICM !. 4 departments Marine Biology and Oceanography Marine Geology Physical Oceanography Renewable Marine Resources 84 members 44 members.
Automatic near-real time mapping of MERIS data in support of CASIX, DISMAR and as input to a phytoplankton classifier Jamie Shutler, Peter Miller, Steve.
INTERREG IV A « 2 Mers Sea Zeeën » The DYMAPHY project is part of the European cross- border cooperation programme INTERREG IV A « 2 Seas ». The project.
Labeled Test-site of the European projects ESONET & EMSO Dr. Juanjo Dañobeitia UTM – CSIC & SARTI (UPC) SPAIN.
Lesson 23: Technology II. Strides in underwater research Did you know that most of the ocean (>95%) still hasn’t been explored? Technologies developed.
1 Enviromatics Environmental sampling Environmental sampling Вонр. проф. д-р Александар Маркоски Технички факултет – Битола 2008 год.
From Ocean Sciences at the Bedford Institute of Oceanography Temperature – Salinity for the Northwest.
CYCLE PO4 Wet Chemistry In-situ Nutrient analyzer.
Thoughts on Algorthmic Approaches to Reveal Marine Geomorphology as a Proxy for Habitat Presentation IT13B Ocean Sciences Meeting Portland, OR.
William Mackaness Institute of Geography PhD: The application of artificial intelligence techniques in automated cartography.
THERMOBARICITY WORKSHOP POTENTIAL OBSERVATION SYSTEMS.
Effects of salinity on open soil evaporation processes M.Gran( 1 ), J.Massana( 1 ), J.Carrera( 1 ), M.W.Saaltink( 1 ), S.Olivella( 1 ), C.Ayora( 2 ), A.Lloret(
Southern Surveyor. Instruments on the Southern Surveyor Radiosondes PNNL Atmospheric Remote Sensing Laboratory (PARSL) Surface Fluxes Sea Surface Temperature.
Advanced Technologies in Education Virtual Observatory 1 Virtual Observatory: D-Space Project Athens, 14 November 2004 Elena Tavlaki Head of Research Programs.
RESOURCES FOR OCEAN CAREER INFORMATION Developed by Jan Hodder, Oregon Institute of Marine Biology
Interactions Sealed Chambers (Phase I) Arthur Clarke Mars Greenhouse (Devon Island) Autonomous Robotic Greenhouse (Phase III) Environmentally- Controlled.
WEEK INTRODUCTION IT440 ARTIFICIAL INTELLIGENCE.
ICM/UTM - CSIC Hymex activities Joaquim Ballabrera Jordi Font Jordi Salat Marta Umbert.
Plan of Action Juan José Dañobeitia (UTM- CSIC) Evaluation Committe The Marine Technology Unit A Challenge for Oceanography Development in.
Evaluation of the Real-Time Ocean Forecast System in Florida Atlantic Coastal Waters June 3 to 8, 2007 Matthew D. Grossi Department of Marine & Environmental.
Software for Marine Data Management Anthony Patterson, CMRC.
SATELLITE REMOTE SENSING OF TERRESTRIAL CLOUDS Alexander A. Kokhanovsky Institute of Remote Sensing, Bremen University P. O. Box Bremen, Germany.
Science investigations in the framework of expedition to Europa
Carmen García Izquierdo Centro Español de Metrología Proposal of traceable measurements of permafrost temperature by optical.
CNESTEN Centre National de l’Energie, des Sciences et des Techniques Nucléaires B.P. 1382, R.P Rabat, Maroc fax : ,
Seasonal to Interannual Variability in Phytoplankton Biomass and Diversity on the New England Shelf Heidi M. Sosik Hui Feng In Situ Time Series for Validation.
CONTACT PERSON Prof. José-Fernán Martinez COAST-GO COast-As-a-Service for unaTtended monitorinG and reactiOn.
Dr. Pinliang Dong Associate Professor Department of Geography University of North Texas USA.
STUDIES OF THE DOM AQUEOUS EXTRACTS FROM COASTAL MARINE SEDIMENTS
TNA FishAut SARTI-UPC, Spain General Assembly 2017
Optical Oceanography and Ocean Color Remote Sensing
LA UNIDAD DE TECNOLOGÍA MARINA DEL CSIC:
What is Pattern Recognition?
Leibniz Universität Hannover (LUH)
Enlargements and area Scale factor Area of object Area of image.
TMR4225 Marine Operations, ROV systems:
Relationship Between NO3 and Salinity:
International Research Master – Level 2 - Master 3EA « Electronics, Electrical Energy, Automatics » Centre Val de Loire Region France LOCALISATION AREA.
International Research Master – Level 2 - Master 3EA « Electronics, Electrical Energy, Automatics » Centre Val de Loire Region France LOCALISATION AREA.
Presentation transcript:

Plan of Action (II)‏

4.- Research lines (R+D+i)‏ Remote Sensing Marine Biosciences Marine geosciences Technological Developing Engineering

4.- Research lines. ICT-Biosciences Information and Communication Technologies applied to Marine Biosciences (ICT-Biosciences)‏ ● Biological Oceanography: Instruments and methods to characterize biological and physical processes at small scale ● Marine Resources: Automatic classification methods based on shape analysis. ● Observational systems: Participation on the first Spanish underwater cabled observatory (OBSEA project)‏

4.- Research lines. ICT-Biosciences Information and Communication Technologies applied to Marine Biosciences (ICT-Biosciences)‏ ICT Biosciences Technical University of Catalunya (UPC) ● Centre for Sensors, Instruments and Systems Development (CD6). ● Knowledge Engineering and Machine Learning Group. ● Centre of Remote Acquisition and Data processing Systems (SARTI) Spanish National Research Council (CSIC) ● Institute of Industrial Automation (IAI). ● Artificial Intelligence Research Institute (IIIA) Spanish National Research Council (CSIC) ● Department of Marine Biology and Oceanography (ICM) ● Physical-Biological interactions at small scale (microstructure) ● Photobiology ● Department of Renewable Resources (ICM) ● Automatic recognition (otoliths) Technological Research Marine Biosciences

4.- Research lines. ICT-Biosciences Water cells turbulent exchange Matrix expression (Transilient Matrix) Profiling measurements NEW METHOD : Transilient matrix estimation based on high resolution CTD data Piera et al 2002, Piera et al Physical-Biological interactions: characterization of turbulence

4.- Research lines. ICT-Biosciences Physical-Biological interactions: identification of phytoplankton groups using high resolution fluorescence spectra

4.- Research lines. ICT-Biosciences Piera et al 2005, Parisi et al 2005, Lombarte et al Natural resources: otolith data base & automatic identification ? AFORO website ( ● open online catalogue of otolith images (nearly 700 species) ● shape analysis through pattern recognition techniques ● search and identify directly using query images of otholits

4.- Research lines. ICT-Biosciences Ongoing National projects ● ANERIS. Analysis and Development of an intelligent oceanographic profiler with autonomous sampling system. Budget: 352,000 €. (UTM, ICM, IAI, IIIA) New autonomous profiler for water sampling. Including artificial intelligence methods for instrumentation design ● SUMMER. Surface Mixing Modulation of the Exposure to solar Radiation. Budget: 292,000 €. (ICM, UTM) New instrument referenced as SUMMIT (Surface Mixing Mimicking Incubation Technology) ● OBSEA Preliminary Prototype of Underwater Cabled Observatory. Budget: 150,000 €. (UTM, UPC) First coastal permanent underwater observatory in Spain.

4.- Research lines. ICT-Biosciences Profile data (during exploration phase) Depth selection (expected values) Adaptive sampling (changes during upward profiling depth 123 upward downward EXPLORATION WATER SAMPLING ANERIS

4.- Research lines. ICT-Biosciences ANERIS ANERIS sensor module development (UTM Electronic Lab)