Improvements in Radiometric Data Processing for SORTIE
Scott
McLean, WETSAT Inc, scott.mclean@wetsat.com
(Presenting)
Marlon
Lewis, WETSAT Inc, marlon.lewis@wetsat.com
Giuseppe
Zibordi, Joint Research Centre, giuseppe.zibordi@jrc.it
Yuqin
Zong, National Institute of Standards and Technology, yuqin.zong@nist.gov
Steven
Brown, National Institute of Standards and Technology, swbrown@nist.gov
B.
Carol
Johnson, National Institute of Standards and Technology, cjohnson@nist.gov
Keith
Lykke, National Institute of Standards and Technology, lykke@nist.gov
Mike
Feinholz, Moss Landing Marine Laboratory, feinholz@mlml.calstate.edu
Mark
Yarborough, Moss Landing Marine Laboratory, yarborough@mlml.calstate.edu
Stephanie
Flora, Moss Landing Marine Laboratory, flora@mlml.calstate.edu
Charles
Trees, Center for Hydro-Optics and Remote Sensing, chuck@chors.sdsu.edu
James
Mueller, Center for Hydro-Optics and Remote Sensing, jim@chors.sdsu.edu
Dennis
Clark, Marine Optical Consulting, clark.dk@gmail.com
Susanne
Craig, Dalhousie University, susanne.craig@dal.ca
Andrew
Barnard, WET Labs Inc, andrew@wetlabs.com
Ron
Zaneveld, WET Labs Inc, ron@wetlabs.com
Ken
Voss, University of Miami, voss@physics.miami.edu
As part of the SORTIE project a new data processor has been developed to improve retrievals of water leaving radiance from in situ radiometry. The processor produces water leaving radiances from classical single cast profiles, surface float casts, and a new multicast technique. The processor takes into consideration new characterization methods used on hyperspectral radiometers including stray light correction using data collected at the NIST SIRCUS facility and thermal responsivity corrections. The processor has a number of features to improve water leaving radiance calculations including normalization of profiles for incident irradiance, statistics on regressed parameters (Klu, Ked, Ed(0-), Lu(0-)), in addition to graphical and numeric data quality checks. The data output has also been significantly improved to include SeaBASS compliant output. The new processor has been validated against the JRC SeaProc data processor and is expected to significantly improve water leaving radiance retrievals, particularly in more challenging coastal environments.
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