Skip to main content
Publications | Persons | Institutes | Projects
[ report an error in this record ]basket (1): add | show Print this page

one publication added to basket [328335]
Determination of the remote-sensing reflectance from above-water measurements with the “3C model”: a further assessment
Pitarch, J.; Talone, M.; Zibordi, G.; Groetsch, P. (2020). Determination of the remote-sensing reflectance from above-water measurements with the “3C model”: a further assessment. Optics Express 28(11): 15885. https://dx.doi.org/10.1364/oe.388683
In: Optics Express. Optical Society of America: Washington. e-ISSN 1094-4087, more
Peer reviewed article  

Available in  Authors 

Authors  Top 
  • Pitarch, J., more
  • Talone, M.
  • Zibordi, G.
  • Groetsch, P.

Abstract
    The Three-Component Reflectance Model (3C) was primarily developed to improve the determination of the remote-sensing reflectance (Rrs) from above-water radiometric hyperspectral measurements performed during sub-optimal conditions (i.e., cloudy sky, variable viewing geometry, high glint perturbations, low illumination conditions). In view of further validating the model and showing its broad range of uses, this work presents the application of 3C to above-water radiometry data collected in oceanic and coastal waters with a variety of measurement conditions. Rrs derived from measurements performed during optimal and slightly sub-optimal conditions exhibit equivalence with Rrs obtained with an established above-water method that is commonly used to support ocean color validation activities. Additionally, the study shows that 3C can still provide relevant Rrs retrievals from field data characterized by low-light illumination, high glint perturbations and variable measurement geometries, for which the established method cannot be confidently applied. Finally, it is shown that the optimization residual returned by the 3C full-spectrum inversion procedure can be a potential relative indicator to assess the quality of derived Rrs.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors