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

Remote Sensing

Jaime Pitarch¹  Marco Bellacicco²  Vincenzo Vellucci³  Salvatore Marullo⁴  Emanuele Organelli⁴  Simone Colella⁴  Gianluca Volpe⁴ 

[1] Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research and Utrecht University, 1790 Texel, The Netherlands;Energy and Sustainable Economic Development (ENEA), Italian National Agency for New Technologies, 00044 Frascati, Italy;Institut de la Mer de Villefranche (IMEV), Sorbonne University, CNRS, F-06230 Villefranche-sur-Mer, France;Istituto di Scienze del Mare (ISMAR)-CNR, Via Fosso del Cavaliere, 100 Rome, Italy;

关键词: particulate optical backscattering;    raman scattering;    qaa algorithm;    esa oc-cci;   

DOI  :  10.3390/rs12010077

来源: DOAJ

【 摘 要 】

Particulate optical backscattering (b_bp) is a crucial parameter for the study of ocean biology and oceanic carbon estimations. In this work, b_bp retrieval, by the quasi-analytical algorithm (QAA), is assessed using a large in situ database of matched b_bp and remote-sensing reflectance (R_rs). The QAA is also applied to satellite R_rs (ESA OC-CCI project) as well, after their validation against in situ R_rs. Additionally, the effect of Raman Scattering on QAA retrievals is studied. Results show negligible biases above random noise when QAA-derived b_bp is compared to in situ b_bp. In addition, R_rs 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 b_bp 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.

【 授权许可】

Unknown