This document describes a Marine Information System (MIS) that was developed to store, analyze, and provide access to heterogeneous marine data. The MIS allows for real-time monitoring of data from multiple sources, generates alerts and dynamic risk maps using decision support services, and provides historical data visualization. It integrates data such as AIS, SAR images, hyperspectral images, vessel detections, buoy sensor readings, and citizen reports to allow analysis and monitoring of the marine environment.
ARGOMARINE ACTIVITIES
1. To develop and to combine marine observig technologies for a more reliable detection and the monitoring of hydrocarbon/oil spills in marine environment, in support of preventive and emergency interventions.
2. To develop an Integrated Communication System (ICS) to ensure reliable and efficient data transmission from different types of sensors to the MIS, providing an accurate geo-positioning of every data item.
3. To develop and to test a Marine Information System (MIS), an operational central unit provided with evaluation adn decision-making power (expert system) where remote sensing data, field experiment results and estimates from simulation models are integrated in order to support the authorities in emergency handling and management.
The geographical decision-making chain: formalization and application to mari...Bilal IDIRI
Maritime traffic monitoring needs tools for spatiotemporal decision support. The operators responsible (e.g. the Coast Guard) must monitor vessels that are represented as objects moving in space and time. Operators use maritime tracking systems to follow the evolution of traffic and make decisions about the risks of a situation. These systems are based on Geographic Information Systems (GIS) and OnLine Transaction Processing (OLTP) approaches, which are prohibitively expensive, very slow and produce operational data unsuited to decision-making. Instead, operators require summarized data that is easier for them to produce and use. Therefore, we propose the definition of a geographical decision-making chain that adds a decision-making dimension to current systems. It consists of a carefully assembled set of tools that can automate the three phases of Business Intelligence, namely data loading, modelling and analysis.
Critical Infrastructure Monitoring Using UAV Imageryaditess
The use of two rapidly evolving approaches, the Unmanned Aerial Vehicles (UAVs) and Dense Image Matching (DIM) techniques is an attractive solution to extract high quality photogrammetric products like 3D point clouds and orthoimages.
INNAV - VTMIS
Information Navigation System e Vessel Traffic Management Information System (System Management and Vessel Traffic Information). This is a significant technological advance for our ports, for the VTMIS team the main and busiest terminals in the world.
The VTMIS is an electronic aid to navigation system, able to provide active monitoring of maritime traffic.
The Victoria Harbour was the first in Brazil to hire the system. The Dock Company of the Holy Spirit (Codesa).
Application packaging and systematic processing in earth observation exploita...terradue
An overview of Terradue's solutions supporting Earth Observations (EO) Exploitation Platforms across multiple domains.
Presentation done as part of the Open Geospatial Consortium (OGC) Technical Committee ad-hoc meeting for the setup of a new domain working group on EO Exploitation Platforms.
ARGOMARINE ACTIVITIES
1. To develop and to combine marine observig technologies for a more reliable detection and the monitoring of hydrocarbon/oil spills in marine environment, in support of preventive and emergency interventions.
2. To develop an Integrated Communication System (ICS) to ensure reliable and efficient data transmission from different types of sensors to the MIS, providing an accurate geo-positioning of every data item.
3. To develop and to test a Marine Information System (MIS), an operational central unit provided with evaluation adn decision-making power (expert system) where remote sensing data, field experiment results and estimates from simulation models are integrated in order to support the authorities in emergency handling and management.
The geographical decision-making chain: formalization and application to mari...Bilal IDIRI
Maritime traffic monitoring needs tools for spatiotemporal decision support. The operators responsible (e.g. the Coast Guard) must monitor vessels that are represented as objects moving in space and time. Operators use maritime tracking systems to follow the evolution of traffic and make decisions about the risks of a situation. These systems are based on Geographic Information Systems (GIS) and OnLine Transaction Processing (OLTP) approaches, which are prohibitively expensive, very slow and produce operational data unsuited to decision-making. Instead, operators require summarized data that is easier for them to produce and use. Therefore, we propose the definition of a geographical decision-making chain that adds a decision-making dimension to current systems. It consists of a carefully assembled set of tools that can automate the three phases of Business Intelligence, namely data loading, modelling and analysis.
Critical Infrastructure Monitoring Using UAV Imageryaditess
The use of two rapidly evolving approaches, the Unmanned Aerial Vehicles (UAVs) and Dense Image Matching (DIM) techniques is an attractive solution to extract high quality photogrammetric products like 3D point clouds and orthoimages.
INNAV - VTMIS
Information Navigation System e Vessel Traffic Management Information System (System Management and Vessel Traffic Information). This is a significant technological advance for our ports, for the VTMIS team the main and busiest terminals in the world.
The VTMIS is an electronic aid to navigation system, able to provide active monitoring of maritime traffic.
The Victoria Harbour was the first in Brazil to hire the system. The Dock Company of the Holy Spirit (Codesa).
Application packaging and systematic processing in earth observation exploita...terradue
An overview of Terradue's solutions supporting Earth Observations (EO) Exploitation Platforms across multiple domains.
Presentation done as part of the Open Geospatial Consortium (OGC) Technical Committee ad-hoc meeting for the setup of a new domain working group on EO Exploitation Platforms.
Accès ouvert aux données météorologiques d’Environnement CanadaVisionGEOMATIQUE2014
Deux services de données géospatiales offerts par le Service météorologique Canada (Environnement Canada) seront présentés.
Le Datamart du SMC permet de télécharger des données brutes produites par le Service météorologique du Canada (SMC) et rend possible la cueillette automatisée des produits et données météorologiques du SMC. Une grande diversité de données s’y retrouvent, tels les avertissements météo, les prévisions publiques en XML, les données brutes de prévision, les observations météorologiques et bien davantage. Le Datamart du SMC jouit d’une grande popularité avec plus de 12 millions d’accès quotidiennement.
Les services web géospatiaux GeoMet permettent au public d’intégrer dans leurs outils SIG, cartes interactives ou appareil mobile, les données brutes de modèles de prévision numérique du temps et de la mosaïque nord-américaine des radars météo par le biais de deux standards de l’Open Geospatial Consortium : le WMS et le KML. Qu’il s’agisse par exemple de la pluie observée par les radar météo ou les prévisions de précipitation de neige ou une animation des prévisions de températures , les utilisations de ces données sont nombreuses et d’une grande valeur pour de nombreux décideurs.
FME Around the World (FME Trek, Part 2): Ciaran Kirk - Safe Software FME Worl...IMGS
Aim: "To seek out innovative FME users
throughout the galaxy, sharing
their stories and ideas to inspire
you to take your data where no
data has gone before."
Contextualizing the Visualization of Climate DataRaquel Alegre
EGU 2014, 27th April - 2nd May 2014, Vienna (Austria)
Session: Techniques and tools for effective visualization and sonification in the geosciences
Category: Earth & Space Science Informatics (ESSI)
Similar to ARGOMARINE final presentation - CRN presentation (20)
National Marine Park of Zakynthos Workshop on “Marine Pollution: Monitoring S...ARGOMARINE
The Management Agency of National Marine Park of Zakynthos (NMPZ) organized a Scientific Environmental Workshop on “Marine Pollution: Monitoring Systems and Treatment” which held on Monday 30th July 2012, at the Cultural Centre of Zakynthos. The Workshop began at 9:45 a.m. and concluded at 15:00 p.m. Afterwards, the guests were guided in the marine protected area of the NMPZ.
The Workshop held in the framework of NMPZ participation (as one of the Scientific Partners) in the FP7 – European Union funded Project: ARGOMARINE “Automatic Oil-Spill Recognition and Geopositioning integrated in a Marine Monitoring Network” which aims to develop an Integrated System for Marine Traffic Monitoring and Marine Pollution Early Warning, particularly for environmental- sensitive sea areas.
After the 1st successful Workshop on “ARGOMARINE: A New Oil Spill Early Warning System” which was organized by NMPZ on 15th December 2011 on Zakynthos island among the Scientific Partners of the ARGOMARINE Project and representatives from the competent Local Services of the island, NMPZ proceeded to the organization of a 2nd Workshop open to the public.
On 07 September 2012, CNR (Laboratory of Signals and Images), in the field of ARGOMARINE project (www.argomarine.eu), launched “Argo Sentinel”: the Mobile App to report oil sliks on the sea.
Reports, geolocated using GPS, are sent to the Maritime Information System (MIS), the “thinking brain” of the ARGOMARINE network able to analyze data and integrate them with mathematical forecasting models.
It is possible to dawnolad the app from Google Play: https://play.google.com/store/search?q=argo+sentinel&c=apps
ARGOMARINE è un progetto teso a sviluppare un sistema di controllo del traffico e dell’inquinamento marino all’interno di aree sensibili dal punto di vista ambientale e di particolare valore naturalistico come quelle dell’Arcipelago Toscano.
Le attività del Progetto prevedono il controllo dell’inquinamento da idrocarburi e degli sversamenti abusivi di petrolio e derivati in mare mediante l’utilizzo simultaneo di tecnologie in grado di pattugliare larghe estensioni di mare.
I dati raccolti vengono integrati con informazioni di geolocalizzazione e geoposizionamento ed inviati attraverso una rete a larga banda al MIS, il cervello pensante di ARGOMARINE ospitato nella sala operativa della Capitaneria di Porto di Portoferraio.
Il MIS (Marine Information System) è una centrale di elaborazione dotata di capacità decisionali e di valutazione, progettata utilizzando tecnologie di supercalcolo ed Intelligenza Artificiale, in grado di elaborare i dati raccolti dalle varie fonti, valutare i modelli matematici e previsionali immagazzinati nella sua memoria, prevedere le evoluzioni dell’evento critico e assistere le autorità preposte nella gestione dell’emergenza.
1. ARGOMARINE
International
Conference
Portoferraio,
21/11/2012
Signals
and
Images
Lab
Institute
of
Information
Science
and
Technologies
ISTI
–
CNR
2. Objec9ves
The
purpose
has
been
to
study
and
setup
a
Marine
Informa,on
System
able
to:
1. Store
heterogeneous
informa9on
into
a
GIS
system
2. Provide
data
mining,
and
search&retrieval
tools
to
End-‐Users
3. Exploit
Decision
Support
Systems
for
the
analysis
of
heterogeneous
data
sources
with
the
goal
of
providing
support
to
responsible
authori9es
Requirements
to
be
evaluated
and
sa9sfied:
• Defini9on
of
both
raw
and
processed
heterogeneous
data
in
order
to
define
a
common
exchange
(meta-‐)data
format
• Defini9on
of
which
common
processed
data
should
be
granted
access
to
• Defini9on
of
a
communica9on
plaLorm
for
data
exchange
with
several
different
external
data
provider
3. Objec9ves
Thus
the
final
development
tasks
regarded:
• The
needed
services
and
products
that
the
MIS
should
provide
in
terms
of
End-‐users
and
Project
partners
• The
interfaces
for
each
subsystem
providing
data
(both
analysed
or
raw)
to
be
stored
or
used
by
the
MIS
• The
technologies
to
be
used
for
the
implementa9on
of
the
various
components
of
the
MIS
• The
technologies
for
the
implementa9on
of
a
communica9on
plaLorm
• Realiza9on
of
systems
for
volunteer
aler9ng:
1. specific
own
GPS
device
2. smartphone
app
4. Analysis:
what
kind
of
data?
Babel
of
data:
• AIS
data
from
several
sources
• SAR
image
&
SAR
processed
oil-‐spill
reports
• Airborne
hyperspectral
data
&
hyper.
processed
oil-‐spill
reports
• Vessel
detec9on
from
SAR
images
• Oil-‐spill
simula9on
models
• DriWing
buoys
data
• Real-‐9me
data
from
mobile
phones
+
AUV
+
floa9ng
buoys
• Including
eNose
• Hydrophone
vessel
detec9on
• Oceanographic
sta9c
buoys
7. Development:
what
does
it
provide?
— WMS
for
geographic
referenced
data
— Real
Time
monitoring
(different
update
9mes
depending
on
source)
— Historical
data
monitor
(with
stored
former
reports
accessible)
— AIS
real-‐,me
data
from
mul9ple
sources
(AIS
sta9on
@CNR)
— General
Command
of
Coast
Guard
sending
off-‐line
complete
data
— MarineTraffic
AIS
data
— NATO
CMRE
inpu_ng
AISHUB
AIS
data
— PNAT
&
NMPZ
real-‐9me
Dynamic
Risk
maps
— Decision
Support
Services
(DSS)
— Automa9c
reasoning
on
the
basis
of
the
GeoMatrix
status
— Dispatching
alerts
to
Operators
— Remote
control
of
the
AUV
missions
11. DSS:
Argo
Alert
Services
DSS
automa9cally
eNose
sensor
sniffs
generates
an
alert
something
anomalous…
Operators
responsible
for
that
area
are
no9fied
Dynamic
risk
map
Event
is
displayed
modified
together
with
other
data
of
interest
12. Historical
data
monitor
Example
of
visualization
of
data
on:
2012/05/18
at
12:oo
All
layers
with
consistent
data
at
that
time
are
shown
13. Babel
of
informa9ve
layers
In
this
sample
from
a
specific
9me:
hyperspectral
report,
SAR
report,
Vessel
detec9on
report,
floa9ng
buoy,
AIS,
AUV,
volunteers,
driWing
buoys,
oceanographic
buoy