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Cross-site consistent in situ measurements for satellite ocean color applications: The BiOMaP radiometric dataset
Ist Teil von
Remote sensing of environment, 2011-08, Vol.115 (8), p.2104-2115
Ort / Verlag
New York, NY: Elsevier Inc
Erscheinungsjahr
2011
Link zum Volltext
Quelle
Elsevier ScienceDirect Journals Complete
Beschreibungen/Notizen
The development and assessment of satellite ocean color products require quality assured in situ data representative of the variety of bio-optical regimes encountered in the different seas. The measurement program named
Bio-Optical mapping of Marine Properties (BiOMaP) fulfills this requirement by using identical instruments and applying cross-site consistent methods for the characterization of seawater inherent and apparent optical properties in the various European seas. This work introduces the BiOMaP radiometric data and describes their application to the validation of primary ocean color products. Within this framework, the radiometric data are discussed through the spectral shape and amplitude of normalized water-leaving radiances (
L
WN
). Specifically, the spectral shape is expressed through the Principal Component Analysis of
L
WN
(λ)/
L
WN
(555) while the amplitude is represented by
L
WN
(555). The resulting distribution of BiOMaP data in a three dimensional feature space demonstrates a continuity of cases across the investigated marine regions confirming a wide representativity of bio-optical regimes. The application of BiOMaP data to the validation of remote sensing reflectance from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and the Moderate Resolution Imaging Spectroradiometer (MODIS), indicates improved performance of the SeaWiFS Data Analysis System (SeaDAS, version 6.1) atmospheric correction. In particular, the comparison of satellite and in situ matchups in the blue spectral region shows biases of a few percent with respect to the much larger reported in studies relying on earlier SeaDAS versions. Matchup analyses, restricted to the Eastern Mediterranean, Black and Baltic Seas, indicate marked regional differences likely explained by the diversity of water and aerosol types.
► High quality in situ optical radiometry for ocean color applications. ► Comparison of in situ optical radiometric data through reduced dimensionality feature mapping. ► Application of in situ radiometric data to the validation of regional remote sensing products.