Satellite-based Information
System on Coastal Areas and Lakes
Overview
SISCAL (Satellite-based Information System on
Coastal Areas and Lakes) is an Internet-based service for the on-demand
generation and distribution of Earth observation (EO) data products on aquatic
ecosystems. SISCAL has been created in the frame of a three-year R&D project
funded by the European Commission (EC) with the following partners:
Universite du Littoral;
Freie Universitaet Berlin ; Norwegian
University of Technology and Science,
Trondheim Biological Station ; South Jutland County, Waste Water and
Water Quality Section ;
Informus Gmbh I.G. ; Institut fuer Lebensmittel,
Arzneimittel und Tierseuchen Berlin ; Israel
Oceanographic and Limnological Research;
Israelian Ministry of Environment ;
Norwegian University of Technology and Sciences ; County Governor of
Soer-Tronendelag, Department of Environment
and Institute of Geography, University of Copenhagen
SISCAL
is now operated by two members of the
former SISCAL consortium: Informus GmbH in
Berlin who operates the SISCAL
server and
Israel Oceanographic and Limnological Research Ltd.,
Haifa.
In its current operational
state, SISCAL server provides maps on parameters such as: Sea Surface
Temperature (SST), Chlorophyll-a
concentration, Total Suspended Matter (TSM)
and Secchi depth, obtained
from operational ocean observing instruments such as MODIS, MERIS or AVHRR.
Through direct access to satellite data providers, products are available for
most areas of the world either in near-real-time (defined here as 6-48 h after
the satellite overpass) or from archived data.
SISCAL products can be
integrated by the end user through a sophisticated, user friendly, off the shelf
GIS system (SISCAL
End-User GIS) that was modified to give automatic archiving functionality
and practical analysis functions .
The main advantages of
SISCAL are:
Ø
EO products from multiple sensors through one single entry point (data
warehouse),
Ø
On-demand product generation for user-defined regions of interest and geographic
coordinate systems,
Ø
Sophisticated GIS and archiving functionality through the SISCAL End-User GIS,
Ø
Flexible integration of local algorithms into the SISCAL processing chains.
Algorithms
The strategy for product generation in SISCAL is to use widely accepted
state-of-the-art algorithms to derive bio-geophysical data products from Earth
Observation (EO) data. These algorithms exist for the sea surface temperature
and, to a lesser degree, for the retrieval of chlorophyll in clear open ocean
waters. In contrast to that, remote sensing of water constituents in coastal
areas or inland waters still needs to be considered as experimental (although it
might be the only available source of information in remote areas).
Detailed description on the
methods that SISCAL derive from ocean colour data, based on the spectral
marine reflectance, the chlorophyll-a
concentration, the total suspended matter concentration, the diffuse attenuation
coefficient, the Secchi depth can be downloaded under
Local Algorithms
The SISCAL service offers the possibility to integrate user-provided algorithms
into the operational processing chain. This allows the implementation of
algorithms into SISCAL that have been developed for particular environmental
conditions where they are more successful than the globally applicable standard
algorithms.
User-provided algorithms can be kept private or made available to subgroups or
all registered SISCAL users. SISCAL is therefore an ideal tool for both
operationally deriving locally optimised products or for testing newly developed
evaluation methods.
GIS functionality
For comfortable archiving of
SISCAL data products as well for visualisation and advanced analysis, a GIS tool
based on the ArcView
8.x software and the Spatial Analyst extension from ESRI has been developed by
IOLR Ltd. Haifa, Israel. End users that do not dispose of their own specifically
tailored GIS system will advantageously use the SISCAL GIS for a number of
purposes:
Ø
The EU-GIS enables the end-user to automatically archive EO products and the
corresponding metadata downloaded from the SISCAL server;
Ø
During the archiving process, the tool analyses the incoming data products and
provides statistics in order to alert users about significant anomalies of
parameters of interest occurring in their area of interest;
Ø A variety of advanced raster based GIS
functions were developed that can be applied to a specified region of interest.
These include: Calculating averages of EO products; Differencing of EO products
for locating extreme variations; Creation of short term and long term trend
graphs; Segmentation of EO products according to defined thresholds for locating
suspicious areas; Creation of daily statistical reports for user-defined regions
of interest, e.g. near outlets along the coastline; Creating line profiles for
any EO product at any specified date; Animating the variations in physical
values for visual inspection and demonstration of these variations in simple
manner to decision makers and the creation of special composites based on
near-real-time EO products and known historical behaviour of the ecosystem (for
instance creation of water quality index based on CHL and SST products).
Innovative aspects of SISCAL
State-of-the-art
|
SISCAL innovation
|
Ø Only standardised EO products are available,
from various providers, not necessarily in the data format and geographical
projection required by the end user, often with significant delay (days or
weeks)
|
Novel service:
Ø EO products tailored to the individual end
users needs are produced and delivered on demand in Near-Real-Time (<12h after
satellite overpass)
|
Ø EO data, evaluation algorithms and ancillary
digital data bases are not advantageously combined. The inherent full value of
EO data is therefore not accessible to end users
|
Integration of latest
technologies:
Ø EO, GIS and internet techniques combined to
produce value–added data products tailored to individual end users needs
|
Ø Ordering of EO data products requires expert
knowledge on available instruments, data providers, algorithms and data products
|
New organisational
practices:
Ø simplified ordering by accessing different
instruments, data providers through one single entry point by interactive
interface customised for the individual end user
|
Ø in-house EO data product generation requires
significant efforts in personnel for subsequently executing the different phases
of product generation
|
Novel business processes:
all phases of product
ordering, raw data retrieval, data processing, product delivery, etc. are
internet based (“e-commerce”)
|
Ø EO data products on water-quality parameters
with a local to regional focus are hardly accessible to the individual citizen
|
Novel forms of interaction
between people and information:
Ø SISCAL data products can be made available
to the citizens through the responsible public authorities
|
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