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Processing MODIS satellite images for phytoplankton chlorophyll estimates
Satellite remote sensing is widely used for phytoplankton distribution evaluation.
For mapping of chlorophyll, multivariate calibration was applied to validate MODIS
satellite data against automated fluorescence records of chlorophyll. The
measurements were carried out with a ferrybox system on board the ferry Finnpartner
with regular route from Travemünde to Helsinki (Alg@line data). The satellite data
was received in HDF-EOS format. Data for each band was extracted with HDFLook-MODIS
software and further analyzed together with chlorophyll data with GRASS-GIS versions
6.1 and 5. Statistical analysis was done with PLS and PCR analysis with the R
statistical software.
Partial least square (PLS) regression analysis was used to validate chlorophyll
records against 1 km resolution bands. Satellite data was received from Sodankylä
Station, Finland and NASA GES Distributed Active Archive Center (DAAC) Data Pool
through the Internet. The production of daily maps is automated with shell scripts
and published in the Internet on www.balticseaportal.fi.
FOSS4G2006 - Free And Open Source Software for Geoinformatics
Session 16 : Organizational empowerment through Open GIS
Seppo
Kaitala
seppo.kaitala@fimr.fi
Henrik
Stutz
Przemysław
Bojczuk
Seppo
Kaitala
seppo.kaitala@fimr.fi
<MaKaC.conference.ContributionType object at 0xb3de856c>