2023
Contribution to book
Open Access
Mesoscale events classification in sea surface temperature imagery
Reggiannini M., Janeiro J., Martins F., Papini O., Pieri G.
Sea observation through remote sensing technologies plays an essential role in understanding the health status of marine fauna species and their future behaviour. Accurate knowledge of the marine habitat and the factors affecting faunal variations allows to perform predictions and adopt proper decisions. This is even more relevant nowadays, with policymakers needing increased environmental awareness, aiming to implement sustainable policies. There is a connection between the biogeochemical and physical processes taking place within a biological system and the variations observed in its faunal populations. Mesoscale phenomena, such as upwelling, countercurrents and filaments, are essential processes to analyse because their arousal entails, among other things, variations in the density of nutrient substances, in turn affecting the biological parameters of the habitat. This paper concerns the proposal of a classification system devoted to recognising marine mesoscale events. These phenomena are studied and monitored by analysing Sea Surface Temperature images captured by satellite missions, such as Metop and MODIS Terra/Aqua. Classification of such images is pursued through dedicated algorithms that extract temporal and spatial features from the data and apply a set of rules to the extracted features, in order to discriminate between different observed scenarios. The results presented in this work have been obtained by applying the proposed approach to images captured over the south-western region of the Iberian Peninsula.Source: Machine Learning, Optimization, and Data Science, edited by Nicosia G., Ojha V., La Malfa E., La Malfa G., Pardalos P., Di Fatta G., Giuffrida G., Umeton R., pp. 516–527, 2023
DOI: 10.1007/978-3-031-25599-1_38
Project(s): NAUTILOS
Metrics:
Reggiannini M., Janeiro J., Martins F., Papini O., Pieri G.
Sea observation through remote sensing technologies plays an essential role in understanding the health status of marine fauna species and their future behaviour. Accurate knowledge of the marine habitat and the factors affecting faunal variations allows to perform predictions and adopt proper decisions. This is even more relevant nowadays, with policymakers needing increased environmental awareness, aiming to implement sustainable policies. There is a connection between the biogeochemical and physical processes taking place within a biological system and the variations observed in its faunal populations. Mesoscale phenomena, such as upwelling, countercurrents and filaments, are essential processes to analyse because their arousal entails, among other things, variations in the density of nutrient substances, in turn affecting the biological parameters of the habitat. This paper concerns the proposal of a classification system devoted to recognising marine mesoscale events. These phenomena are studied and monitored by analysing Sea Surface Temperature images captured by satellite missions, such as Metop and MODIS Terra/Aqua. Classification of such images is pursued through dedicated algorithms that extract temporal and spatial features from the data and apply a set of rules to the extracted features, in order to discriminate between different observed scenarios. The results presented in this work have been obtained by applying the proposed approach to images captured over the south-western region of the Iberian Peninsula.Source: Machine Learning, Optimization, and Data Science, edited by Nicosia G., Ojha V., La Malfa E., La Malfa G., Pardalos P., Di Fatta G., Giuffrida G., Umeton R., pp. 516–527, 2023
DOI: 10.1007/978-3-031-25599-1_38
Project(s): NAUTILOS
Metrics:
See at:
ISTI Repository 
| link.springer.com 
| CNR ExploRA
2023
Conference article
Open Access
Automated image processing for remote sensing data classification
Reggiannini M., Papini O., Pieri G.
Remote sensing technologies allow for continuous and valuable monitoring of the Earth's various environments. In particular, coastal and ocean monitoring presents an intrinsic complexity that makes such monitoring the main source of information available. Oceans, being the largest but least observed habitat, have many different factors affecting theirs faunal variations. Enhancing the capabilities to monitor and understand the changes occurring allows us to perform predictions and adopt proper decisions. This paper proposes an automated classification tool to recognise specific marine mesoscale events. Typically, human experts monitor and analyse these events visually through remote sensing imagery, specifically addressing Sea Surface Temperature data. The extended availability of this kind of remote sensing data transforms this activity into a time-consuming and subjective interpretation of the information. For this reason, there is an increased need for automated or at least semi-automated tools to perform this task. The results presented in this work have been obtained by applying the proposed approach to images captured over the southwestern region of the Iberian Peninsula.Source: ICPR 2022 - International Workshops and Challenges, pp. 553–560, Montreal, Canada, 21-25/08/2022
DOI: 10.1007/978-3-031-37742-6_43
Project(s): NAUTILOS
Metrics:
Reggiannini M., Papini O., Pieri G.
Remote sensing technologies allow for continuous and valuable monitoring of the Earth's various environments. In particular, coastal and ocean monitoring presents an intrinsic complexity that makes such monitoring the main source of information available. Oceans, being the largest but least observed habitat, have many different factors affecting theirs faunal variations. Enhancing the capabilities to monitor and understand the changes occurring allows us to perform predictions and adopt proper decisions. This paper proposes an automated classification tool to recognise specific marine mesoscale events. Typically, human experts monitor and analyse these events visually through remote sensing imagery, specifically addressing Sea Surface Temperature data. The extended availability of this kind of remote sensing data transforms this activity into a time-consuming and subjective interpretation of the information. For this reason, there is an increased need for automated or at least semi-automated tools to perform this task. The results presented in this work have been obtained by applying the proposed approach to images captured over the southwestern region of the Iberian Peninsula.Source: ICPR 2022 - International Workshops and Challenges, pp. 553–560, Montreal, Canada, 21-25/08/2022
DOI: 10.1007/978-3-031-37742-6_43
Project(s): NAUTILOS
Metrics:
See at:
ISTI Repository | link.springer.com | CNR ExploRA
2023
Journal article
Open Access
MEC: a Mesoscale Events Classifier for oceanographic imagery
Pieri G., Janeiro J., Martins F., Papini O., Reggiannini M.
The observation of the sea through remote sensing technologies plays a fundamental role in understanding the state of health of marine fauna species and their behaviour. Mesoscale phenomena, such as upwelling, countercurrents, and filaments, are essential processes to be analysed because their occurrence involves, among other things, variations in the density of nutrients, which, in turn, influence the biological parameters of the habitat. Indeed, there is a connection between the biogeochemical and physical processes that occur within a biological system and the variations observed in its faunal populations. This paper concerns the proposal of an automatic classification system, namely the Mesoscale Events Classifier, dedicated to the recognition of marine mesoscale events. The proposed system is devoted to the study of these phenomena through the analysis of sea surface temperature images captured by satellite missions, such as EUMETSAT's Metop and NASA's Earth Observing System programmes. The classification of these images is obtained through (i) a preprocessing stage with the goal to provide a simultaneous representation of the spatial and temporal properties of the data and enhance the salient features of the sought phenomena, (ii) the extraction of temporal and spatial characteristics from the data and, finally, (iii) the application of a set of rules to discriminate between different observed scenarios. The results presented in this work were obtained by applying the proposed approach to images acquired in the southwestern region of the Iberian peninsula.Source: Applied sciences 13 (2023). doi:10.3390/app13031565
DOI: 10.3390/app13031565
Project(s): NAUTILOS
Metrics:
Pieri G., Janeiro J., Martins F., Papini O., Reggiannini M.
The observation of the sea through remote sensing technologies plays a fundamental role in understanding the state of health of marine fauna species and their behaviour. Mesoscale phenomena, such as upwelling, countercurrents, and filaments, are essential processes to be analysed because their occurrence involves, among other things, variations in the density of nutrients, which, in turn, influence the biological parameters of the habitat. Indeed, there is a connection between the biogeochemical and physical processes that occur within a biological system and the variations observed in its faunal populations. This paper concerns the proposal of an automatic classification system, namely the Mesoscale Events Classifier, dedicated to the recognition of marine mesoscale events. The proposed system is devoted to the study of these phenomena through the analysis of sea surface temperature images captured by satellite missions, such as EUMETSAT's Metop and NASA's Earth Observing System programmes. The classification of these images is obtained through (i) a preprocessing stage with the goal to provide a simultaneous representation of the spatial and temporal properties of the data and enhance the salient features of the sought phenomena, (ii) the extraction of temporal and spatial characteristics from the data and, finally, (iii) the application of a set of rules to discriminate between different observed scenarios. The results presented in this work were obtained by applying the proposed approach to images acquired in the southwestern region of the Iberian peninsula.Source: Applied sciences 13 (2023). doi:10.3390/app13031565
DOI: 10.3390/app13031565
Project(s): NAUTILOS
Metrics:
See at:
ISTI Repository | www.mdpi.com | CNR ExploRA
2023
Report
Open Access
Working Group on Nephrops Surveys (WGNEPS; outputs from 2022 meeting)
Aguzzi J., Aristegui-Ezquibela M., Burgos C., Chatzievangelou D., Doyle J., Fallon N., Fifas S., González-Herraiz I., Jonsson P., Lundy M., Martinelli M., Medve?ek D., Naseer A., Nava E., Nawri N., Jónasson J. P., Pereira B., Pieri G., Silva C., Tibone M., Valeiras J., Vila Y., Weetman A., Wieland K.
The Working Group on Nephrops Surveys (WGNEPS) is the international coordination group for Nephrops underwater television and trawl surveys within ICES. This report summarizes the na-tional contributions on the results of the surveys conducted in 2022 together with time series covering all survey years, problems encountered, data quality checks and technological improve-ments as well as the planning for survey activities for 2023. In total, 21 surveys covering 26 functional units (FU's) in the ICES area and 1 geographical sub-area (GSA) in the Adriatic Sea were discussed and further improvements in respect to survey design and data analysis standardization and the use of most recent technology were reviewed. The first exploratory UWTV survey on the FU 25 Nephrops grounds was also presented to the group. The results of the evaluation of reference sets for FU3&4 Skagerrak/Kattegat were accepted fol-lowing the process set down by the 2018 workshop (WKNEPS). An alternative method estimate Nephrops abundance was shown to the group using the recently published R package sdmTMB. The group agreed to hold a workshop in 2025 to address burrow size estimations to update cor-rection factors and terms of reference for this to be agreed at next meeting. Automatic burrow detection based on deep learning methods continues to show promising re-sults where datasets from multiple institutes were used. Plans are being progressed for an international Nephrops UWTV database to be established at the ICES data centre with a sub-group.Source: ISTI Annual reports, 2023
DOI: 10.17895/ices.pub.22211161
Metrics:
Aguzzi J., Aristegui-Ezquibela M., Burgos C., Chatzievangelou D., Doyle J., Fallon N., Fifas S., González-Herraiz I., Jonsson P., Lundy M., Martinelli M., Medve?ek D., Naseer A., Nava E., Nawri N., Jónasson J. P., Pereira B., Pieri G., Silva C., Tibone M., Valeiras J., Vila Y., Weetman A., Wieland K.
The Working Group on Nephrops Surveys (WGNEPS) is the international coordination group for Nephrops underwater television and trawl surveys within ICES. This report summarizes the na-tional contributions on the results of the surveys conducted in 2022 together with time series covering all survey years, problems encountered, data quality checks and technological improve-ments as well as the planning for survey activities for 2023. In total, 21 surveys covering 26 functional units (FU's) in the ICES area and 1 geographical sub-area (GSA) in the Adriatic Sea were discussed and further improvements in respect to survey design and data analysis standardization and the use of most recent technology were reviewed. The first exploratory UWTV survey on the FU 25 Nephrops grounds was also presented to the group. The results of the evaluation of reference sets for FU3&4 Skagerrak/Kattegat were accepted fol-lowing the process set down by the 2018 workshop (WKNEPS). An alternative method estimate Nephrops abundance was shown to the group using the recently published R package sdmTMB. The group agreed to hold a workshop in 2025 to address burrow size estimations to update cor-rection factors and terms of reference for this to be agreed at next meeting. Automatic burrow detection based on deep learning methods continues to show promising re-sults where datasets from multiple institutes were used. Plans are being progressed for an international Nephrops UWTV database to be established at the ICES data centre with a sub-group.Source: ISTI Annual reports, 2023
DOI: 10.17895/ices.pub.22211161
Metrics:
See at:
ISTI Repository | CNR ExploRA
2023
Contribution to book
Open Access
Italy and Croatia : Pomo Pits, Central Adriatic Sea (GSA 17) Adriatic UWTV Surveys and Pomo monitoring activity
Martinelli M., Medve?ek D., Domenichetti F., Canduci G., Giuliani G., Zacchetti L., Pieri G., Belardinelli A., Chiarini M., Guicciardi S., Grilli F., Penna P., Scarpini P., Cvitani? R., Isajlovic I., Vrgoc N.
The Pomo (or Jabuka) Pits area is one of the main fishing ground for Norway Lobster Nephrops norvegicus and European hake Merluccius merluccius within the GFCM Geographical Sub Areas 17 (Northern and Central Adriatic Sea) and it is shared by the Italian and the Croatian fleets. Furthermore, this represents a well-known nursery area for M. merluccius and hosts a distinct population of N. norvegicus, characterized by small-sized mature individuals. Due to a decline in landing of both species for the Adriatic Sea, since 2015 the Italian and the Croatian governments implemented some protection measures in that area. Eventually in 2018, the GFCM established a Fishery Restricted Area. Since 2009 the area is yearly monitored by CNR IRBIM in collaboration with IOF Split. From 2009 to 2019 (except 2011 and 2018), a spring UWTV survey was conducted in the Pomo Pits area jointly by CNR-IRBIM Ancona and IOF Split, on board the CNR R/V Dallaporta; the Pomo Pits UWTV time series has been recently included, as a tuning index, in new modeling approaches tested for the Adriatic N. norvegicus stock assessment. Trials on automatic burrow tracking and counting have also been recently conducted on the Adriatic UWTV footage in the framework of the EU H2020 NAUTILOS project.Source: Working Group on Nephrops Surveys (WGNEPS, outputs from 2022 meeting), edited by Jennifer Doyle, pp. 119–123. Copenhagen: International council for the exploration of the sea, 2023
DOI: 10.17895/ices.pub.22211161
Project(s): NAUTILOS
Metrics:
Martinelli M., Medve?ek D., Domenichetti F., Canduci G., Giuliani G., Zacchetti L., Pieri G., Belardinelli A., Chiarini M., Guicciardi S., Grilli F., Penna P., Scarpini P., Cvitani? R., Isajlovic I., Vrgoc N.
The Pomo (or Jabuka) Pits area is one of the main fishing ground for Norway Lobster Nephrops norvegicus and European hake Merluccius merluccius within the GFCM Geographical Sub Areas 17 (Northern and Central Adriatic Sea) and it is shared by the Italian and the Croatian fleets. Furthermore, this represents a well-known nursery area for M. merluccius and hosts a distinct population of N. norvegicus, characterized by small-sized mature individuals. Due to a decline in landing of both species for the Adriatic Sea, since 2015 the Italian and the Croatian governments implemented some protection measures in that area. Eventually in 2018, the GFCM established a Fishery Restricted Area. Since 2009 the area is yearly monitored by CNR IRBIM in collaboration with IOF Split. From 2009 to 2019 (except 2011 and 2018), a spring UWTV survey was conducted in the Pomo Pits area jointly by CNR-IRBIM Ancona and IOF Split, on board the CNR R/V Dallaporta; the Pomo Pits UWTV time series has been recently included, as a tuning index, in new modeling approaches tested for the Adriatic N. norvegicus stock assessment. Trials on automatic burrow tracking and counting have also been recently conducted on the Adriatic UWTV footage in the framework of the EU H2020 NAUTILOS project.Source: Working Group on Nephrops Surveys (WGNEPS, outputs from 2022 meeting), edited by Jennifer Doyle, pp. 119–123. Copenhagen: International council for the exploration of the sea, 2023
DOI: 10.17895/ices.pub.22211161
Project(s): NAUTILOS
Metrics:
See at:
ISTI Repository | CNR ExploRA
2023
Contribution to journal
Open Access
Special Issue "Research Progress on Ocean Observations Technology and Information Systems"
Tsabaris C., Pieri G.
The oceans play a crucial role in the global ecosystem for shaping climate and weather trends, water management and health, and the biogeochemical cycles, representing valuable sources of oil, food, minerals and renewable energy. Although increasingly mature marine observation technologies have been developed during recent decades for a better understanding of the oceans, the new advances of existing operational observing systems have been constrained by limited cooperation and interaction between the managers of existing ocean networks on earth as well as between the observing units. Furthermore, the development of smart in situ marine sensors to be integrated into existing fixed units (such as landers and mooring buoys) as well as in mobile units (such as AUVs, ROVs, ships of opportunity, marine drones, Argo floats and gliders) are under development in the frame of various European and international projects. In recent years, a lot of progress has been made for the Ocean Observation Technologies and Information Systems by developing cost effective and miniaturized sensing devices with very low power consumption that would be directly integrated as a "plug and play" operational mode in existing sensor networks. Additionally, a lot of effort has been made to develop acoustic communication methods and modules to transmit the data from the deep ocean as well as cellular systems for transmitting the data of the marine sensors in near real-time mode using 4G/5G protocols (especially in coastal areas). In order to improve the processes that take place globally in the oceans (such as weather monitoring and forecasting, climate variability, sea level rise, natural hazards, ocean acidification, health of the ocean, pollution and ecosystem functioning, energy, economic development and coastal management, public safety, security, training and education), new research is ongoing to improve and optimize infrastructures and updated models at the international level. The state-of-the-art in situ marine sensors with the capability to be easily integrated into ocean platforms combined with innovative communication and information systems for real-time data transmission will emerge as new features of both forecasting methods and smart emergency systems to protect humans.Source: Basilea: Multidisciplinary Digital Publishing Institute (MDPI), 2023
Project(s): NAUTILOS
Tsabaris C., Pieri G.
The oceans play a crucial role in the global ecosystem for shaping climate and weather trends, water management and health, and the biogeochemical cycles, representing valuable sources of oil, food, minerals and renewable energy. Although increasingly mature marine observation technologies have been developed during recent decades for a better understanding of the oceans, the new advances of existing operational observing systems have been constrained by limited cooperation and interaction between the managers of existing ocean networks on earth as well as between the observing units. Furthermore, the development of smart in situ marine sensors to be integrated into existing fixed units (such as landers and mooring buoys) as well as in mobile units (such as AUVs, ROVs, ships of opportunity, marine drones, Argo floats and gliders) are under development in the frame of various European and international projects. In recent years, a lot of progress has been made for the Ocean Observation Technologies and Information Systems by developing cost effective and miniaturized sensing devices with very low power consumption that would be directly integrated as a "plug and play" operational mode in existing sensor networks. Additionally, a lot of effort has been made to develop acoustic communication methods and modules to transmit the data from the deep ocean as well as cellular systems for transmitting the data of the marine sensors in near real-time mode using 4G/5G protocols (especially in coastal areas). In order to improve the processes that take place globally in the oceans (such as weather monitoring and forecasting, climate variability, sea level rise, natural hazards, ocean acidification, health of the ocean, pollution and ecosystem functioning, energy, economic development and coastal management, public safety, security, training and education), new research is ongoing to improve and optimize infrastructures and updated models at the international level. The state-of-the-art in situ marine sensors with the capability to be easily integrated into ocean platforms combined with innovative communication and information systems for real-time data transmission will emerge as new features of both forecasting methods and smart emergency systems to protect humans.Source: Basilea: Multidisciplinary Digital Publishing Institute (MDPI), 2023
Project(s): NAUTILOS
See at:
ISTI Repository | www.mdpi.com | CNR ExploRA
2023
Conference article
Open Access
Analysis of sea surface temperature maps via topological machine learning
Conti F., Papini O., Moroni D., Pieri G., Reggiannini M., Pascali M. A.
Computational methods to leverage topological features occurring in signals and images are currently one of the most innovative trends in applied mathematics. In this paper a pipeline of topological machine learning is applied to the challenging task of classifying four specific marine mesoscale patterns from remote sensing data, i.e., Sea Surface Temperature maps of the southwestern region of the Iberian Peninsula. Our preliminary study achieves an accuracy of 56% in the 4-label classification. Such results are encouraging, especially considering that the data are affected by noise and that there are low-quality/missing data. Also, the paper devises directions for future improvements.Source: ITNT 2023 - IX International Conference on Information Technology and Nanotechnology, Samara, Russia, 17-21/04/2023
DOI: 10.1109/itnt57377.2023.10139044
Project(s): NAUTILOS
Metrics:
Conti F., Papini O., Moroni D., Pieri G., Reggiannini M., Pascali M. A.
Computational methods to leverage topological features occurring in signals and images are currently one of the most innovative trends in applied mathematics. In this paper a pipeline of topological machine learning is applied to the challenging task of classifying four specific marine mesoscale patterns from remote sensing data, i.e., Sea Surface Temperature maps of the southwestern region of the Iberian Peninsula. Our preliminary study achieves an accuracy of 56% in the 4-label classification. Such results are encouraging, especially considering that the data are affected by noise and that there are low-quality/missing data. Also, the paper devises directions for future improvements.Source: ITNT 2023 - IX International Conference on Information Technology and Nanotechnology, Samara, Russia, 17-21/04/2023
DOI: 10.1109/itnt57377.2023.10139044
Project(s): NAUTILOS
Metrics:
See at:
ISTI Repository | ieeexplore.ieee.org | CNR ExploRA
2023
Contribution to conference
Open Access
NAUTILOS pitch presentation during Galway 10 Years celebration
G. Pieri
Wake-up pitches from Horizon 2020 ongoing projects during the final day of Galway 10 year celebration.Source: 2013 - 2023: 10 years of the Galway Statement. Celebrating a decade of marine research cooperation along and across the Atlantic Ocean - Our Shared Resource, Dublin and hybrid, 5-6/07/2023
Project(s): NAUTILOS
G. Pieri
Wake-up pitches from Horizon 2020 ongoing projects during the final day of Galway 10 year celebration.Source: 2013 - 2023: 10 years of the Galway Statement. Celebrating a decade of marine research cooperation along and across the Atlantic Ocean - Our Shared Resource, Dublin and hybrid, 5-6/07/2023
Project(s): NAUTILOS
See at:
ISTI Repository | CNR ExploRA
2023
Contribution to conference
Open Access
Filling the observational gaps of European Seas
Pieri, G.
Deep ocean and the open ocean environment above it are the least observed but largest habitats on our planet. Ocean observation presents several challenges, such as high dynamic variability and difficulties in achieving wide data collection in terms of spatial and temporal regularity. This observing gap provokes a lack of the ability to manage and mitigate potentially adverse climatic, environmental, and economic outcomes. Thus, there is a need for a dense observing effort, trying to assess the biological, chemical, and physical processes. NAUTILOS project aims to provide a large-scale demonstration of several types of new and cost-effective sensors and samplers integrated on multiple platforms to perform autonomous in-situ monitoring. The strategic objective is to fill in the marine observation and modelling gaps for these Essential Ocean Variables to complement and expand the current European products, tools, and services. One of the underlying goals is to improve the democratisation of the usage of tools and data not only to professionals but also to Citizen Scientists who could contribute to extending the data availability towards a better understanding of the ocean processesSource: NAUTILOS Policy Round Table - Supporting Ocean Observations, Genova, Italy, 27/06/2023
Project(s): NAUTILOS
Pieri, G.
Deep ocean and the open ocean environment above it are the least observed but largest habitats on our planet. Ocean observation presents several challenges, such as high dynamic variability and difficulties in achieving wide data collection in terms of spatial and temporal regularity. This observing gap provokes a lack of the ability to manage and mitigate potentially adverse climatic, environmental, and economic outcomes. Thus, there is a need for a dense observing effort, trying to assess the biological, chemical, and physical processes. NAUTILOS project aims to provide a large-scale demonstration of several types of new and cost-effective sensors and samplers integrated on multiple platforms to perform autonomous in-situ monitoring. The strategic objective is to fill in the marine observation and modelling gaps for these Essential Ocean Variables to complement and expand the current European products, tools, and services. One of the underlying goals is to improve the democratisation of the usage of tools and data not only to professionals but also to Citizen Scientists who could contribute to extending the data availability towards a better understanding of the ocean processesSource: NAUTILOS Policy Round Table - Supporting Ocean Observations, Genova, Italy, 27/06/2023
Project(s): NAUTILOS
See at:
ISTI Repository | CNR ExploRA
2023
Conference article
Open Access
Evaluation of a marine mesoscale events classifier
Reggiannini M., Papini O., Pieri G.
Marine mesoscale phenomena are relevant oceanographic processes that impact on fishery, biodiversity and climate variation. In previous literature, their analysis has been tackled by processing instantaneous remote sensing observations and returning a classification of the observed event. Indeed, these phenomena occur within an extended time range, thus an analysis including time dependence is desirable. Mesoscale Events Classifier (MEC) is an algorithm devoted to the classification of marine mesoscale events in sea surface temperature imagery. By processing time series of satellite temperature observations MEC recognizes the considered area of interest as the domain of one out of a given number of possible events and returns the corresponding label. Objective of this work is to discuss the performance of the MEC pipeline in terms of its capability of correctly capturing the nature of the observed mesoscale process. The evaluation process exploited satellite remote sensing data collected in front of the Portuguese coast.Source: ICASSPW 2023 - IEEE International Conference on Acoustics, Speech, and Signal Processing, Rhodes, Greece, 4-10/06/2023
DOI: 10.1109/icasspw59220.2023.10193234
Project(s): NAUTILOS
Metrics:
Reggiannini M., Papini O., Pieri G.
Marine mesoscale phenomena are relevant oceanographic processes that impact on fishery, biodiversity and climate variation. In previous literature, their analysis has been tackled by processing instantaneous remote sensing observations and returning a classification of the observed event. Indeed, these phenomena occur within an extended time range, thus an analysis including time dependence is desirable. Mesoscale Events Classifier (MEC) is an algorithm devoted to the classification of marine mesoscale events in sea surface temperature imagery. By processing time series of satellite temperature observations MEC recognizes the considered area of interest as the domain of one out of a given number of possible events and returns the corresponding label. Objective of this work is to discuss the performance of the MEC pipeline in terms of its capability of correctly capturing the nature of the observed mesoscale process. The evaluation process exploited satellite remote sensing data collected in front of the Portuguese coast.Source: ICASSPW 2023 - IEEE International Conference on Acoustics, Speech, and Signal Processing, Rhodes, Greece, 4-10/06/2023
DOI: 10.1109/icasspw59220.2023.10193234
Project(s): NAUTILOS
Metrics:
See at:
ISTI Repository | ieeexplore.ieee.org | CNR ExploRA
2023
Contribution to conference
Open Access
NAUTILOS Citizen Science App
Pieri G.
The power of the crowd and the youth to drive change for the ocean, climate and our future - the example of Nautilos, a citizen science campaign and smartphone applicationSource: COP 28 - Virtual Ocean Pavillion, Dubai, EAU, 8/12/2023
Project(s): NAUTILOS
Pieri G.
The power of the crowd and the youth to drive change for the ocean, climate and our future - the example of Nautilos, a citizen science campaign and smartphone applicationSource: COP 28 - Virtual Ocean Pavillion, Dubai, EAU, 8/12/2023
Project(s): NAUTILOS
See at:
cop28oceanpavilion.vfairs.com | ISTI Repository | CNR ExploRA
2022
Conference article
Open Access
Augmented reality, artificial intelligence and machine learning in Industry 4.0: case studies at SI-Lab
Bruno A, Coscetti S, Leone G. R., Germanese D., Magrini M., Martinelli M., Moroni D., Pascali M. A., Pieri G., Reggiannini M., Tampucci M.
In recent years, the impressive advances in artificial intelligence, computer vision, pervasive computing, and augmented reality made them rise to pillars of the fourth industrial revolution. This short paper aims to provide a brief survey of current use cases in factory applications and industrial inspection under active development at the Signals and Images Lab, ISTI-CNR, Pisa.Source: Ital-IA 2022 - Convegno nazionale CINI sull'Intelligenza Artificiale, Torino, Italy, 9-11/02/2022
DOI: 10.5281/zenodo.6322733
Metrics:
Bruno A, Coscetti S, Leone G. R., Germanese D., Magrini M., Martinelli M., Moroni D., Pascali M. A., Pieri G., Reggiannini M., Tampucci M.
In recent years, the impressive advances in artificial intelligence, computer vision, pervasive computing, and augmented reality made them rise to pillars of the fourth industrial revolution. This short paper aims to provide a brief survey of current use cases in factory applications and industrial inspection under active development at the Signals and Images Lab, ISTI-CNR, Pisa.Source: Ital-IA 2022 - Convegno nazionale CINI sull'Intelligenza Artificiale, Torino, Italy, 9-11/02/2022
DOI: 10.5281/zenodo.6322733
Metrics:
See at:
ISTI Repository | www.ital-ia2022.it | CNR ExploRA
2022
Contribution to conference
Open Access
New technology and data collection for improving our understanding of the marine environment
Pieri G., Bebianno M., Chatzinikolaou E., Cocco M., Dimitrova L., Fahning J., Geraskova V., João A., King A., Lusher A., Malardé D., Martinelli M., Martins F., Mazza M., Novellino A., Ntoumas M., Sá S., Smerdon A., Triantafyllou G., Torres A.
Introduction and Objective The H2020 NAUTILOS project aims to fill existing gaps in marine observation and modelling through the development of innovative and cost-effective technologies and observational methodologies for use in a wide range of crucial environmental contexts and sectors that can further support EU policies. The H2020 NAUTILOS project fills marine observation and modelling gaps by developing and deploying new technologies, promoting innovative and cost-effective methods in a wide range of crucial environmental settings and EU policy-related applications. Material and Methods NAUTILOS is developing innovative and cost-effective sensors and samplers for physical, chemical, and biological essential ocean variables in addition to micro-/nano-plastics. Newly developed technologies are integrated into diverse observing platforms, i.e. ships of opportunity, research vessels, surface and autonomous underwater vehicles, landers, fixed observatories, Argo floats, and Animal-borne instrumentation modules, to be deployed in key environmental settings. Results and Data relevance NAUTILOS will contribute to improving future ocean observation and forecasting capabilities through its holistic approach, which includes new sensors, new data to feed metocean forecast models, and the assessment of the forecasting capabilities, i.e. (OSSE) NAUTILOS data products FAIRness includes adopting standard vocabularies and open data publishing systems interoperable with European and international Ocean Data integrators. Moreover, synergies with relevant initiatives, Citizen Science campaigns and capacity building courses are also planned to reach out to all relevant stakeholders and users and promote free access and exchange of scientific data and knowledge. Conclusion The project will improve our understanding of environmental fluctuations and anthropogenic impacts in the oceans, relevant to aquaculture, fisheries and marine litter. Moreover, it will also complement and contribute to expanding European observation tools and services to obtain data collection at a much higher spatial resolution, temporal regularity and length than currently available at the European scale, and further democratise the marine environment's monitoring.Source: International Ocean Data Conference 2022, Hybrid Conference: Remote/Sopot, Poland, 14-16/02/2022
Project(s): NAUTILOS
Pieri G., Bebianno M., Chatzinikolaou E., Cocco M., Dimitrova L., Fahning J., Geraskova V., João A., King A., Lusher A., Malardé D., Martinelli M., Martins F., Mazza M., Novellino A., Ntoumas M., Sá S., Smerdon A., Triantafyllou G., Torres A.
Introduction and Objective The H2020 NAUTILOS project aims to fill existing gaps in marine observation and modelling through the development of innovative and cost-effective technologies and observational methodologies for use in a wide range of crucial environmental contexts and sectors that can further support EU policies. The H2020 NAUTILOS project fills marine observation and modelling gaps by developing and deploying new technologies, promoting innovative and cost-effective methods in a wide range of crucial environmental settings and EU policy-related applications. Material and Methods NAUTILOS is developing innovative and cost-effective sensors and samplers for physical, chemical, and biological essential ocean variables in addition to micro-/nano-plastics. Newly developed technologies are integrated into diverse observing platforms, i.e. ships of opportunity, research vessels, surface and autonomous underwater vehicles, landers, fixed observatories, Argo floats, and Animal-borne instrumentation modules, to be deployed in key environmental settings. Results and Data relevance NAUTILOS will contribute to improving future ocean observation and forecasting capabilities through its holistic approach, which includes new sensors, new data to feed metocean forecast models, and the assessment of the forecasting capabilities, i.e. (OSSE) NAUTILOS data products FAIRness includes adopting standard vocabularies and open data publishing systems interoperable with European and international Ocean Data integrators. Moreover, synergies with relevant initiatives, Citizen Science campaigns and capacity building courses are also planned to reach out to all relevant stakeholders and users and promote free access and exchange of scientific data and knowledge. Conclusion The project will improve our understanding of environmental fluctuations and anthropogenic impacts in the oceans, relevant to aquaculture, fisheries and marine litter. Moreover, it will also complement and contribute to expanding European observation tools and services to obtain data collection at a much higher spatial resolution, temporal regularity and length than currently available at the European scale, and further democratise the marine environment's monitoring.Source: International Ocean Data Conference 2022, Hybrid Conference: Remote/Sopot, Poland, 14-16/02/2022
Project(s): NAUTILOS
See at:
oceandataconference.org | ISTI Repository | CNR ExploRA
2022
Conference article
Restricted
A mobile crowdsensing app for improved maritime security and awareness
Moroni D., Pieri G., Reggiannini M., Tampucci M.
The marine and maritime domain is well represented in the Sustainable Development Goals (SDG) envisaged by the United Nations, which aim at conserving and using the oceans, seas and their resources for sustainable development. At the same time, there is a need for improved safety in navigation, especially in coastal areas. Up to date, there exist operational services based on advanced technologies, including remote sensing and in situ monitoring networks which provide aid to the navigation and control over the environment for its preservation. Yet, the possibilities offered by crowdsensing have not yet been fully explored. This paper addresses this issue by presenting an app based on a crowdsensing approach for improved safety and awareness at sea. The app can be integrated into more comprehensive systems and frameworks for environmental monitoring as envisaged in our future work.Source: PERCOM 2022 - IEEE International Conference on Pervasive Computing and Communications, pp. 103–105, Pisa, Italy, 21-25/03/2022
DOI: 10.1109/percomworkshops53856.2022.9767516
Project(s): NAUTILOS
Metrics:
Moroni D., Pieri G., Reggiannini M., Tampucci M.
The marine and maritime domain is well represented in the Sustainable Development Goals (SDG) envisaged by the United Nations, which aim at conserving and using the oceans, seas and their resources for sustainable development. At the same time, there is a need for improved safety in navigation, especially in coastal areas. Up to date, there exist operational services based on advanced technologies, including remote sensing and in situ monitoring networks which provide aid to the navigation and control over the environment for its preservation. Yet, the possibilities offered by crowdsensing have not yet been fully explored. This paper addresses this issue by presenting an app based on a crowdsensing approach for improved safety and awareness at sea. The app can be integrated into more comprehensive systems and frameworks for environmental monitoring as envisaged in our future work.Source: PERCOM 2022 - IEEE International Conference on Pervasive Computing and Communications, pp. 103–105, Pisa, Italy, 21-25/03/2022
DOI: 10.1109/percomworkshops53856.2022.9767516
Project(s): NAUTILOS
Metrics:
See at:
ieeexplore.ieee.org | CNR ExploRA
2022
Conference article
Open Access
ARTiCo - AR in tissue converting
Moroni D., Pieri G., Tampucci M., Masini D.
For fully up-taking the advances achieved in pervasive monitoring systems within Industry 4.0, novel intelligent interfaces are needed to ease interactions with human personnel and enable them to access the available data and services ergonomically. To this end, we present a mobile app based on augmented reality that allows operators to receive location-aware notifications and access and visualize real-time information and guidance for troubleshooting and plant maintenance. The app has been tailored to respond to the needs of a specific scenario, i.e. tissue converting, where it has provided encouraging results.Source: PERCOM 2022 - IEEE International Conference on Pervasive Computing and Communications, pp. 94–96, Pisa, Italy, 21-25/03/2022
DOI: 10.1109/percomworkshops53856.2022.9767409
Metrics:
Moroni D., Pieri G., Tampucci M., Masini D.
For fully up-taking the advances achieved in pervasive monitoring systems within Industry 4.0, novel intelligent interfaces are needed to ease interactions with human personnel and enable them to access the available data and services ergonomically. To this end, we present a mobile app based on augmented reality that allows operators to receive location-aware notifications and access and visualize real-time information and guidance for troubleshooting and plant maintenance. The app has been tailored to respond to the needs of a specific scenario, i.e. tissue converting, where it has provided encouraging results.Source: PERCOM 2022 - IEEE International Conference on Pervasive Computing and Communications, pp. 94–96, Pisa, Italy, 21-25/03/2022
DOI: 10.1109/percomworkshops53856.2022.9767409
Metrics:
See at:
ISTI Repository | ieeexplore.ieee.org | CNR ExploRA
2022
Report
Unknown
NAUTILOS - GEN - Requirement No. 10
Pieri G., Zugic N., Ntoumas M., Martinelli M., Chatzinikolaou E.
D13.7 deliverable is relative to Ethics Requirement No. 10 as a General requirement to submit a report by the Ethics Board as a deliverable at the end of each reporting period. This document represents the first report of such type. Describing the activities and updates of the NAUTILOS Ethics Advisory Board for this first period of the project from M1 till M18.Source: ISTI Project report, NAUTILOS, D2.7, 2022
Project(s): NAUTILOS
Pieri G., Zugic N., Ntoumas M., Martinelli M., Chatzinikolaou E.
D13.7 deliverable is relative to Ethics Requirement No. 10 as a General requirement to submit a report by the Ethics Board as a deliverable at the end of each reporting period. This document represents the first report of such type. Describing the activities and updates of the NAUTILOS Ethics Advisory Board for this first period of the project from M1 till M18.Source: ISTI Project report, NAUTILOS, D2.7, 2022
Project(s): NAUTILOS
See at: CNR ExploRA
2022
Report
Open Access
NAUTILOS - Fully developed graphic user interface. Accompanying report
Tampucci M., Pieri G., Volpini F.
This deliverable consist of the deployment of the project's web portal through which the storage and management of the integrated data regarding NAUTILOS, and the services defined and implemented during Task 8.4 have been organised. The implemented tools and services for data management and visualisation, designed in close connection with end-users requirements, are described.Source: ISTI Project report, NAUTILOS, D8.7, 2022
Project(s): NAUTILOS
Tampucci M., Pieri G., Volpini F.
This deliverable consist of the deployment of the project's web portal through which the storage and management of the integrated data regarding NAUTILOS, and the services defined and implemented during Task 8.4 have been organised. The implemented tools and services for data management and visualisation, designed in close connection with end-users requirements, are described.Source: ISTI Project report, NAUTILOS, D8.7, 2022
Project(s): NAUTILOS
See at:
ISTI Repository | zenodo.org | CNR ExploRA
2022
Report
Open Access
NAUTILOS - Citizen Science tools and interface
Pieri G., Tampucci M.
This deliverable will consist of the specific tools and interface for supporting the Citizen Science Campaigns, to integrate the data produced during these activities (see Task 12.2) within the web portal. The interface, realised in Task 8.4, will be based on geo-referenced maps indicating, for instance, plastic litter data. An accompanying report with the guidelines for the usage of these tools and interface will be produced.Source: ISTI Project report, NAUTILOS, D8.8, 2022
Project(s): NAUTILOS
Pieri G., Tampucci M.
This deliverable will consist of the specific tools and interface for supporting the Citizen Science Campaigns, to integrate the data produced during these activities (see Task 12.2) within the web portal. The interface, realised in Task 8.4, will be based on geo-referenced maps indicating, for instance, plastic litter data. An accompanying report with the guidelines for the usage of these tools and interface will be produced.Source: ISTI Project report, NAUTILOS, D8.8, 2022
Project(s): NAUTILOS
See at:
ISTI Repository | zenodo.org | CNR ExploRA
2022
Report
Open Access
NAUTILOS - Automatic image analysis tools
Pieri G., Reggiannini M., Papini O.
This deliverable will consist of the implementation of image analysis tools based on methods and algorithms designed explicitly to perform different automatic classifications. These tools will be used and applied both on already available and acquired images during the project. An accompanying report describing the tools will be produced.Source: ISTI Project report, NAUTILOS, DD8.9, 2022
Project(s): NAUTILOS
Pieri G., Reggiannini M., Papini O.
This deliverable will consist of the implementation of image analysis tools based on methods and algorithms designed explicitly to perform different automatic classifications. These tools will be used and applied both on already available and acquired images during the project. An accompanying report describing the tools will be produced.Source: ISTI Project report, NAUTILOS, DD8.9, 2022
Project(s): NAUTILOS
See at:
ISTI Repository | zenodo.org | CNR ExploRA
2022
Report
Open Access
NAUTILOS - Data Management Plan - 1st periodic report update
Novellino A., Pieri G.
In this deliverable, an update of the DMP at M18 will be reported.Source: ISTI Project report, NAUTILOS, D1.10, 2022
Project(s): NAUTILOS
Novellino A., Pieri G.
In this deliverable, an update of the DMP at M18 will be reported.Source: ISTI Project report, NAUTILOS, D1.10, 2022
Project(s): NAUTILOS
See at:
ISTI Repository | zenodo.org | CNR ExploRA