Retrieval of Particulate Backscattering Using Field and Satellite Radiometry: Assessment of the QAA Algorithm
| Autor: | Marco Bellacicco, Simone Colella, Jaime Pitarch, Vincenzo Vellucci, Emanuele Organelli, Salvatore Marullo, Gianluca Volpe |
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| Přispěvatelé: | Royal Netherlands Institute for Sea Research (NIOZ), Italian National agency for new technologies, Energy and sustainable economic development [Frascati] (ENEA), Istituto di Science Marine (ISMAR ), Consiglio Nazionale delle Ricerche (CNR), Laboratoire d'océanographie de Villefranche (LOV), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Pitarch, J., Bellacicco, M., Organelli, E., Volpe, G., Colella, S., Vellucci, V., Marullo, S. |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
In situ
Raman scattering 010504 meteorology & atmospheric sciences Field (physics) Science 01 natural sciences 010309 optics Random noise 0103 physical sciences ESA OC-CCI 14. Life underwater particulate optical backscattering [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography 0105 earth and related environmental sciences QAA algorithm Particulates Reflectivity 13. Climate action Ocean color General Earth and Planetary Sciences Environmental science Radiometry Satellite Algorithm |
| Zdroj: | Remote Sensing Remote Sensing, MDPI, 2020, 12 (1), pp.77. ⟨10.3390/rs12010077⟩ Remote Sensing, Vol 12, Iss 1, p 77 (2019) Remote Sensing (2072-4292) (MDPI AG), 2020-01, Vol. 12, N. 1, P. 77 (16p.) Remote sensing (Basel) 12 (2020). doi:10.3390/rs12010077 info:cnr-pdr/source/autori:Pitarch, Jaime; Bellacicco, Marco; Organelli, Emanuele; Volpe, Gianluca; Colella, Simone; Vellucci, Vincenzo; Marullo, Salvatore/titolo:Retrieval of Particulate Backscattering Using Field and Satellite Radiometry: Assessment of the QAA Algorithm/doi:10.3390%2Frs12010077/rivista:Remote sensing (Basel)/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:12 Remote Sensing; Volume 12; Issue 1; Pages: 77 |
| ISSN: | 2072-4292 |
| DOI: | 10.3390/rs12010077⟩ |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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