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Advanced Use
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The SISCAL service offers a number of services for advanced users.
The most important of them are:
- SISCAL End user GIS (EU-GIS)
- integration of user-specific algorithms into the operational processing chain
- off-line processing of Landsat TM/ETM+ high-resolution images
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End User GIS
The SISCAL End-user GIS combines the functionality of a state-of-the-art Geographic Information System with a tool box specifically tailored for SISCAL data products. It is based on ArcView 8X and the Spatial Analyst extension (ESRI Inc).
The EU-GIS enables the end-user to automatically archive EO products
and the associated metadata downloaded from the SISCAL server.
During the archiving process, the EU-GIS analyses the
incoming products and provides statistics in order to alert
about significant deviations in the physical parameters.
A variety of advanced raster based GIS functions were developed that
can be applied to a user-defined region of interest (ROI).
The EU-GIS is thus well suited
to create highly aggregated products for decision makers.
Please consult the EU-GIS Manual
for further information.
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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.
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Products in high spatial resolution
The best spatial resolution that can actually be
obtained from operational ocean observing
sensors (e.g. 300m for MERIS in full resolution) is still
insufficient for many applications in coastal areas or
for inland waters.
In the frame of a feasibility study, maps on the chlorophyll concentration
and Secchi depth of lakes in North-Eastern Germany
have been successfully derived from Landsat ETM+ images (30m resolution).
The method uses in-situ information to derive an empiral
method which is then applied to areas where no in-situ measurements are
available.
The method can be generally applied to TM/ETM+ scenes for
which concomitant information on the chlorophyll concentration
and atmospheric turbidity is available.
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