PROJECTS & PROGRAMMES: Sonar, Remote Sensing & GIS

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FAR (M.A. 2 542 F/UK/GR: 1991-94):
"Biomass Acoustic Selection System" (1991-94)

IMBC has developed a special software that enables the translation of the echo signal into a set of quantitative descriptors. They were used to train multi-layered feed-forward artificial neural networks, which generated associations between school descriptors and species identity, thus providing a powerful tool for species classification.

AIR (M.A. 3/768 GR/I: FISHCAL):
"Improvement of measurement methods and techniques in hydroacoustic surveys for reliable biomass estimates of target species of small pelagic fish in the Mediterranean" (1992-95)

The project focused on confronting the absence of accurate Target Strength measurements of small pelagic fish in the Mediterranean, and the need for background research into the relationship between TS and fish behaviour.

Special software was developed which plotted choropleth maps based on geostatistical methodology.

FISHSAT/NP:
"Remote Sensing Application and Fisheries Management" (1994-95)

AIR: (N/GR/UK: ACOUSTICS):
"Acoustic properties of fish and their exploitation in classification schemes for fish stock assessment" (1995-97)

This goal of this project is to tackle and solve important problems related to the fish stock assessment methods, i.e., to increase the objectivity of species identification for both demersal and pelagic species, especially in a mixed species community, and in addition to specify the variations of the TS estimates for different fish behaviour patterns.

FAIR: (F/S/GR/I) FIGIS:
"Spatio-temporal analysis of the fishery resources, their environment and their exploitation in the Mediterranean: experimental use of Geographic Information systems (1996-98)

The project focuses on two objectives, the most important component being the spatial one: interactions between resources and environmental factors and the behaviour of the fisheries fleets in a given area.

FAIR: (F/UK/GR/S) CLUSTER:
"Aggregation patterns of pelagic commercial fish species under different situations and their impact on exploitation and assessment " (1996-99)

This project aims to develop an understanding of how the pattern of pelagic fish aggregation varies with stock size. Other factors, such as stock age structure, exploitation patterns, and environmental variations, will also be investigated.

FAIR: (F/UK/GR/DK) AVITIS:
"Three-dimensional analysis and visualisation of the spatial structure of fish schools using multi-beam sonar image processing" (1997-99)

The objective is to develop methodology and software for a three-dimensional analysis of schools and fish aggregations in order to improve fisheries acoustics.

ENVIRONMENT (ABDMAP):
Algal bloom detection, monitoring and prediction

The aim of the project is to understand the physical, chemical and biological processes that lie behind the occurrence of algal blooms. Remote sensing data and techniques will be used mainly for studying the relative importance of various factors contributing to the problem and for developing methods to detect or forecast algal blooms.

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	FAR (M.A. 2 542 F/UK/GR: 1991-94): "Biomass Acoustic Selection System" (1991-94) IMBC has developed a special software that enables the translation of the echo signal into a set of quantitative descriptors. They were used to train multi-layered feed-forward artificial neural networks, which generated associations between school descriptors and species identity, thus providing a powerful tool for species classification. AIR (M.A. 3/768 GR/I: FISHCAL): "Improvement of measurement methods and techniques in hydroacoustic surveys for reliable biomass estimates of target species of small pelagic fish in the Mediterranean" (1992-95) The project focused on confronting the absence of accurate Target Strength measurements of small pelagic fish in the Mediterranean, and the need for background research into the relationship between TS and fish behaviour. Special software was developed which plotted choropleth maps based on geostatistical methodology. FISHSAT/NP: "Remote Sensing Application and Fisheries Management" (1994-95) AIR: (N/GR/UK: ACOUSTICS): "Acoustic properties of fish and their exploitation in classification schemes for fish stock assessment" (1995-97) This goal of this project is to tackle and solve important problems related to the fish stock assessment methods, i.e., to increase the objectivity of species identification for both demersal and pelagic species, especially in a mixed species community, and in addition to specify the variations of the TS estimates for different fish behaviour patterns. FAIR: (F/S/GR/I) FIGIS: "Spatio-temporal analysis of the fishery resources, their environment and their exploitation in the Mediterranean: experimental use of Geographic Information systems (1996-98) The project focuses on two objectives, the most important component being the spatial one: interactions between resources and environmental factors and the behaviour of the fisheries fleets in a given area. FAIR: (F/UK/GR/S) CLUSTER: "Aggregation patterns of pelagic commercial fish species under different situations and their impact on exploitation and assessment " (1996-99) This project aims to develop an understanding of how the pattern of pelagic fish aggregation varies with stock size. Other factors, such as stock age structure, exploitation patterns, and environmental variations, will also be investigated. FAIR: (F/UK/GR/DK) AVITIS: "Three-dimensional analysis and visualisation of the spatial structure of fish schools using multi-beam sonar image processing" (1997-99) The objective is to develop methodology and software for a three-dimensional analysis of schools and fish aggregations in order to improve fisheries acoustics. ENVIRONMENT (ABDMAP): Algal bloom detection, monitoring and prediction The aim of the project is to understand the physical, chemical and biological processes that lie behind the occurrence of algal blooms. Remote sensing data and techniques will be used mainly for studying the relative importance of various factors contributing to the problem and for developing methods to detect or forecast algal blooms.
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