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SUMMARY:Remote sensing of inland waters: From bio-optical algorithms to ec
 osystem indicators
DTSTART:20130514T161500
DTEND:20130514T171500
DTSTAMP:20260430T170022Z
UID:bcb12bf652b374ea95a162979984f45aca344e0c9cd68b2c0021b727
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Daniel Odermatt\, Brockmann Consult GmbH\, DE\nRemote sensi
 ng provides frequent and spatially continuous observations of the Earth su
 rface. A sequence of specific image analysis methods is needed to extract 
 biophysical parameters from these observations\, including geometric\, atm
 ospheric\, bio-optical and ecological models. For inland water quality rel
 ated applications\, the use of optical sensors with medium spatial\, but h
 igh temporal\, specral and radiometric resolution prevails.\n\nAlgorithms 
 that retrieve absorption and scattering properties from surface reflectanc
 es determine both the requirements as well as the potential of such proces
 sing sequences. The most powerful approaches use bio-optical forward model
 s to simulate reflectances for a predefined set of water constituent conce
 ntration variations. Mathematical inversion methods are then applied to ma
 tch these simulated with satellite retrieved reflectances and thus retriev
 e color-specific constituent concentrations.\n\nSuch directly retrieved co
 nstituents (chl-a\, suspended matter\, colored dissolved organic matter) b
 ear a large potential for environmental monitoring\, but sampling depth es
 timates\, error calculations\, validation results\, user instructions and 
 further auxillaries are needed for their operational use. Further\, indire
 ct estimates include primary productivity and surface albedo\, and assimil
 ation with thermal remote sensing or in situ data opens an even wider scop
 e of indicators regarding biodiversity and global change.
LOCATION:GR A3 32 http://plan.epfl.ch/?room=GR%20A3%2032
STATUS:CONFIRMED
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