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ARGANS main ESA-funded activities will include the evaluation of
new ocean colour products within the ESA DUE GlobColour project.
1. Basic background: ESA has one mission aboard ENVISAT:
the Medium Resolution Imaging Spectrometer Instrument (MERIS),
NASA has three missions in orbit to assess ocean biological
processes by measuring the colour of the sea, the Sea-viewing
Wide Field of view Sensor (SeaWiFS) and two flight models of the
Moderate Imaging Spectrometer (MODIS) on the Terra and Aqua Earth
Observing System (EOS) missions. CNES has now launched a new
POLDER on board Parasol. These ocean colour missions have been
developed to answer many of the most basic questions of how the
ocean biosphere operates, such as what is the role of climate
change on the oceans, or how do anthropogenic processes (in
particular increasing atmospheric CO2) influence the ocean
biosphere? The numerous present and future ocean colour missions
make it hard to decide which is the appropriate data set to work
with. Should one use imagery from one satellite, or maybe
composite imagery from MODIS and MERIS sensors? Ultimately,
better ocean colour data products will come from the merging of
different data sets, and there are there are several classes of
users who could benefit from merged data sets and build data
system such as researchers and students.
MERIS Calibration and Validation project: There is a need,
in remote sensing to calibrate and independently validate the
instruments onboard the satellites. Quality in situ data is
required to assess how the instrument is performing and to judge
what adjustments may be necessary. This is validation. Validation
is the process of matching in situ datapoints with spatially and
temporally coincident satellite measurements. The more reliable
data available the better, and the ideal situation is to have a
large, standardised database of in situ measurements from all
over the world, that can be used to validate ocean colour
measurements from the ESA MERIS instrument onboard Envisat. The
task of ARGANS is to collate as much in situ data from research
institutes all over the world and to build and maintain a
database of coincident in situ data with their counterpart MERIS
product. ACRI-ST will use the database for validation. Moreover,
ARGANS will work closely with ACRI-ST to decide upon the
algorithms and techniques for carrying out such validation.
ARGANS is also tasked with keeping up to date the reference model
documents that support this work, and to aid in algorithm
improvements where necessary.
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