Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloA three-step semi analytical algorithm (3SAA) for estimating inherent optical properties over oceanic, coastal, and inland waters from remote sensing reflectance
Anno di pubblicazione2021
Formato
  • Elettronico
  • Cartaceo
Autore/iJorge, Daniel S.F.; Loisel, Hubert; Jamet, Cédric; Dessailly, David; Demaria, Julien; Bricaud, Annick; Maritorena, Stéphane; Zhang, Xiaodong; Antoine, David; Kutser, Tiit; Bélanger, Simon; Brando, Vittorio O.; Werdell, Jeremy; Kwiatkowska, Ewa; Mangin, Antoine; d'Andon, Odile Fanton
Affiliazioni autoriEuropean Organisation for the Exploitation of Meteorological Satellites; Eesti Mereinstituut; Curtin University; University of California, Santa Barbara; Consiglio Nazionale delle Ricerche; Université du Littoral Côte d'Opale; University of Southern Mississippi; NASA Goddard Space Flight Center; Université du Québec à Rimouski; Sorbonne Universite; ACRI-st
Autori CNR e affiliazioni
  • VITTORIO ERNESTO BRANDO
Lingua/e
  • inglese
AbstractWe present a three-step inverse model (3SAA) for estimating the inherent optical properties (IOPs) of surface waters from the remote sensing reflectance spectra, R(?). The derived IOPs include the total (a(?)), phytoplankton (a(?)), and colored detrital matter (a(?)), absorption coefficients, and the total (b(?)) and particulate (b(?)) backscattering coefficients. The first step uses an improved neural network approach to estimate the diffuse attenuation coefficient of downwelling irradiance from R. a(?) and b(?) are then estimated using the LS2 model (Loisel et al., 2018), which does not require spectral assumptions on IOPs and hence can assess a(?) and b(?) at any wavelength at which R(?) is measured. Then, an inverse optimization algorithm is combined with an optical water class (OWC) approach to assess a(?) and a(?) from a(?).The proposed model is evaluated using an in situ dataset collected in open oceanic, coastal, and inland waters. Comparisons with other standard semi-analytical algorithms (QAA and GSM), as well as match-up exercises, have also been performed. The applicability of the algorithm on OLCI observations was assessed through the analysis of global IOPs spatial patterns derived from 3SAA and GSM. The good performance of 3SAA is manifested by median absolute percentage differences (MAPD) of 13%, 23%, 34% and 34% for b(443), a(443), a(443) and a(443), respectively for oceanic waters. Due to the absence of spectral constraints on IOPs in the inversion of total IOPs, and the adoption of an OWC-based approach, the performance of 3SAA is only slightly degraded in bio-optical complex inland waters.
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RivistaRemote sensing of environment
Attiva dal 1969
Editore: American Elsevier Pub. Co., - New York,
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 0034-4257
Titolo chiave: Remote sensing of environment
Titolo proprio: Remote sensing of environment.
Titolo abbreviato: Remote sens. environ.
Numero volume della rivista263
Fascicolo della rivista-
DOI10.1016/j.rse.2021.112537
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-85108065584)
Parole chiaveinherent optical properties;, remote sensing reflectance, optical oceanography
Link (URL, URI)http://www.scopus.com/record/display.url?eid=2-s2.0-85108065584&origin=inward
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Strutture CNR
  • ISMAR — Istituto di scienze marine
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