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Use of the quasi-analytical algorithm to retrieve backscattering from in-situdata in the Mediterranean Sea

Authors :
Pitarch, Jaime
Bellacicco, Marco
Volpe, Gianluca
Colella, Simone
Santoleri, Rosalia
Source :
Remote Sensing Letters; June 2016, Vol. 7 Issue: 6 p591-600, 10p
Publication Year :
2016

Abstract

ABSTRACTWe evaluate retrieval of particle backscattering at 555 nm (bbp(555)) in the Mediterranean Sea with the quasi-analytical algorithm (QAA), using new in-situconcurrent data of remote-sensing reflectance (Rrs) and inherent optical properties (IOP). When Rrsis corrected for Raman scattering, retrieved bbp(555) are reduced between ~7% in open waters and ~3% in coastal waters. After Raman effect is accounted for, partitioned statistics within the data set for cruise and water type are rather homogeneous. QAA-retrieved bbp(555) slightly underestimates our in-situbbp(555), thus contradicting the few previous studies, in which high overestimation was either reported or suggested. Retrieval errors are mostly caused by the Rrs-IOP model. The ‘new’ Rrs-IOP model that separates the influences of water and particle phase functions produces mean bias ~–3% for open waters and ~–7% for coastal waters. In contrast, the ‘old’ model, ambiguous with respect to the phase function, produces a bias ~–5% for open waters and ~–9% for coastal waters. It is also shown that regional calibration can virtually suppress bias. In all cases, RMS error remains ~19% and accounts for all errors involved.

Details

Language :
English
ISSN :
2150704X and 21507058
Volume :
7
Issue :
6
Database :
Supplemental Index
Journal :
Remote Sensing Letters
Publication Type :
Periodical
Accession number :
ejs38677622
Full Text :
https://doi.org/10.1080/2150704X.2016.1171922