Retrieval of Particulate Backscattering Using Field and Satellite Radiometry: Assessment of the QAA Algorithm

Type Article
Date 2020-01
Language English
Author(s) Pitarch Jaime1, 2, Bellacicco Marco3, Organelli Emanuele2, 4, Volpe Gianluca2, Colella Simone2, Vellucci Vincenzo5, Marullo Salvatore2, 3
Affiliation(s) 1 : Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research and Utrecht University, 1790 Texel, The Netherlands
2 : Istituto di Scienze del Mare (ISMAR)-CNR, Via Fosso del Cavaliere, 100 Rome, Italy
3 : Energy and Sustainable Economic Development (ENEA), Italian National Agency for New Technologies, 00044 Frascati, Italy
4 : Laboratoire d’Océanographie de Villefranche (LOV), Sorbonne University, CNRS, 06230 Villefranche-sur-Mer, France
5 : Institut de la Mer de Villefranche (IMEV), Sorbonne University, CNRS, F-06230 Villefranche-sur-Mer, France
Source Remote Sensing (2072-4292) (MDPI AG), 2020-01 , Vol. 12 , N. 1 , P. 77 (16p.)
DOI 10.3390/rs12010077
WOS© Times Cited 20
Note This article belongs to the Special Issue Satellite Derived Global Ocean Product Validation/Evaluation
Keyword(s) particulate optical backscattering, Raman scattering, QAA algorithm, ESA OC-CCI

Particulate optical backscattering (bbp) is a crucial parameter for the study of ocean biology and oceanic carbon estimations. In this work, bbp retrieval, by the quasi-analytical algorithm (QAA), is assessed using a large in situ database of matched bbp and remote-sensing reflectance (Rrs). The QAA is also applied to satellite Rrs (ESA OC-CCI project) as well, after their validation against in situ Rrs. Additionally, the effect of Raman Scattering on QAA retrievals is studied. Results show negligible biases above random noise when QAA-derived bbp is compared to in situ bbp. In addition, Rrs from the CCI archive shows good agreement with in situ data. The QAA’s functional form of spectral backscattering slope, as derived from in situ radiometry, is validated. Finally, we show the importance of correcting for Raman Scattering over clear waters prior to semi-analytical retrieval. Overall, this work demonstrates the high efficiency of QAA in the bbp detection in case of both in situ and ocean color data, but it also highlights the necessity to increase the number of observations that are severely under-sampled in respect to others environmental parameters

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Pitarch Jaime, Bellacicco Marco, Organelli Emanuele, Volpe Gianluca, Colella Simone, Vellucci Vincenzo, Marullo Salvatore (2020). Retrieval of Particulate Backscattering Using Field and Satellite Radiometry: Assessment of the QAA Algorithm. Remote Sensing, 12(1), 77 (16p.). Publisher's official version : , Open Access version :