FN Archimer Export Format
PT J
TI Retrieval of Particulate Backscattering Using Field and Satellite Radiometry: Assessment of the QAA Algorithm
BT 
AF Pitarch, Jaime
   Bellacicco, Marco
   Organelli, Emanuele
   Volpe, Gianluca
   Colella, Simone
   Vellucci, Vincenzo
   Marullo, Salvatore
AS 1:1,2;2:3;3:2,4;4:2;5:2;6:5;7:2,3;
FF 1:;2:;3:;4:;5:;6:;7:;
C1 Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research and Utrecht University, 1790 Texel, The Netherlands
   Istituto di Scienze del Mare (ISMAR)-CNR, Via Fosso del Cavaliere, 100 Rome, Italy
   Energy and Sustainable Economic Development (ENEA), Italian National Agency for New Technologies, 00044 Frascati, Italy
   Laboratoire d’Océanographie de Villefranche (LOV), Sorbonne University, CNRS, 06230 Villefranche-sur-Mer, France
   Institut de la Mer de Villefranche (IMEV), Sorbonne University, CNRS, F-06230 Villefranche-sur-Mer, France
C2 NIOZ, NETHERLANDS
   CNR ISMAR, ITALY
   ENEA, ITALY
   UNIV SORBONNE, FRANCE
   CNRS, FRANCE
IN DOAJ
IF 2.1
TC 20
UR https://archimer.ifremer.fr/doc/00607/71889/70588.pdf
LA English
DT Article
CR BOUSSOLE
DE ;particulate optical backscattering;Raman scattering;QAA algorithm;ESA OC-CCI
AB 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 
PY 2020
PD JAN
SO Remote Sensing
SN 2072-4292
PU MDPI AG
VL 12
IS 1
UT 000515391700077
DI 10.3390/rs12010077
ID 71889
ER

EF