DSpace DSpace UPC
 Català   Castellano   English  

E-prints UPC >
Altres >
Enviament des de DRAC >

Empreu aquest identificador per citar o enllaçar aquest ítem: http://hdl.handle.net/2117/12706

Arxiu Descripció MidaFormat
sensors.pdf1,43 MBAdobe PDFThumbnail
Veure/Obrir

Citació: Aguzzi, J. [et al.]. The new seafloor observatory (OBSEA) for remote and long-term coastal ecosystem monitoring. "Sensors", 31 Maig 2011, vol. 11, núm. 6, p. 5850-5872.
Títol: The new seafloor observatory (OBSEA) for remote and long-term coastal ecosystem monitoring
Autor: Palanques Monteys, Albert; Mihai Toma, Daniel; Sardà Amills, Francesc; Puig Alenyà, Pere; Aguzzi, Jacopo Veure Producció científica UPC; Manuel Lázaro, Antonio Veure Producció científica UPC; Condal, Fernando; Guillen, J.; Nogueras Cervera, Marc Veure Producció científica UPC; Río Fernandez, Joaquín del Veure Producció científica UPC; Costa, Corrado; Menesatti, Paolo
Data: 31-mai-2011
Tipus de document: Article
Resum: A suitable sampling technology to identify species and to estimate population dynamics based on individual counts at different temporal levels in relation to habitat variations is increasingly important for fishery management and biodiversity studies. In the past two decades, as interest in exploring the oceans for valuable resources and in protecting these resources from overexploitation have grown, the number of cabled (permanent) submarine multiparametric platforms with video stations has increased. Prior to the development of seafloor observatories, the majority of autonomous stations were battery powered and stored data locally. The recently installed low-cost, multiparametric, expandable, cabled coastal Seafloor Observatory (OBSEA), located 4 km off of Vilanova i la Gertrú, Barcelona, at a depth of 20 m, is directly connected to a ground station by a telecommunication cable; thus, it is not affected by the limitations associated with previous observation technologies. OBSEA is part of the European Multidisciplinary Seafloor Observatory (EMSO) infrastructure, and its activities are included among the Network of Excellence of the European Seas Observatory NETwork (ESONET). OBSEA enables remote, long-term, and continuous surveys of the local ecosystem by acquiring synchronous multiparametric habitat data and bio-data with the following sensors: Conductivity-Temperature-Depth (CTD) sensors for salinity, temperature, and pressure; Acoustic Doppler Current Profilers (ADCP) for current speed and direction, including a turbidity meter and a fluorometer (for the determination of chlorophyll concentration); a hydrophone; a seismometer; and finally, a video camera for automated image analysis in relation to species classification and tracking. Images can be monitored in real time, and all data can be stored for future studies. In this article, the various components of OBSEA are described, including its hardware (the sensors and the network of marine and land nodes), software (data acquisition, transmission, processing, and storage), and multiparametric measurement (habitat and bio-data time series) capabilities. A one-month multiparametric survey of habitat parameters was conducted during 2009 and 2010 to demonstrate these functions. An automated video image analysis protocol was also developed for fish counting in the water column, a method that can be used with cabled coastal observatories working with still images. Finally, bio-data time series were coupled with data from other oceanographic sensors to demonstrate the utility of OBSEA in studies of ecosystem dynamics.
ISSN: 1424-8220
URI: http://hdl.handle.net/2117/12706
DOI: 10.3390/s110605850
Versió de l'editor: www.mdpi.com/journal/sensors
Apareix a les col·leccions:Altres. Enviament des de DRAC
SARTI - Centre de Desenvolupament Tecnològic de Sistemes d'Adquisició Remota i Tractament de la Informació. Articles de revista
Departament d'Enginyeria Electrònica. Articles de revista
Comparteix:


Stats Mostra les estadístiques d'aquest ítem

SFX Query

Aquest ítem (excepte textos i imatges no creats per l'autor) està subjecte a una llicència de Creative Commons Llicència Creative Commons
Creative Commons

 

Valid XHTML 1.0! Programari DSpace Copyright © 2002-2004 MIT and Hewlett-Packard Comentaris
Universitat Politècnica de Catalunya. Servei de Biblioteques, Publicacions i Arxius