• English
    • français
  • Help
  •  | 
  • Contact
  •  | 
  • About
  •  | 
  • Login
  • HAL portal
  •  | 
  • Pages Pro
  • EN
  •  / 
  • FR
View Item 
  •   LillOA Home
  • Liste des unités
  • Laboratoire d'Océanologie et de Géosciences (LOG) - UMR 8187
  • View Item
  •   LillOA Home
  • Liste des unités
  • Laboratoire d'Océanologie et de Géosciences (LOG) - UMR 8187
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Spectral relationships for atmospheric ...
  • BibTeX
  • CSV
  • Excel
  • RIS

Document type :
Article dans une revue scientifique
DOI :
10.1364/OE.21.021162
Title :
Spectral relationships for atmospheric correction. I. Validation of red and near infra-red marine reflectance relationships.
Author(s) :
Goyens, Clémence [Auteur]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Jamet, Cédric [Auteur]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Ruddick, K. [Auteur]
Journal title :
Optics Express
Pages :
21162-21175
Publisher :
Optical Society of America - OSA Publishing
Publication date :
2013
ISSN :
1094-4087
HAL domain(s) :
Planète et Univers [physics]/Sciences de la Terre/Océanographie
English abstract : [en]
The present study provides an extensive overview of red and near infra-red (NIR) spectral relationships found in the literature and used to constrain red or NIR-modeling schemes in current atmospheric correction (AC) ...
Show more >
The present study provides an extensive overview of red and near infra-red (NIR) spectral relationships found in the literature and used to constrain red or NIR-modeling schemes in current atmospheric correction (AC) algorithms with the aim to improve water-leaving reflectance retrievals, ρw(λ), in turbid waters. However, most of these spectral relationships have been developed with restricted datasets and, subsequently, may not be globally valid, explaining the need of an accurate validation exercise. Spectral relationships are validated here with turbid in situ data for ρw(λ). Functions estimating ρw(λ) in the red were only valid for moderately turbid waters (ρw(λNIR) < 3.10−3). In contrast, bounding equations used to limit ρw(667) retrievals according to the water signal at 555 nm, appeared to be valid for all turbidity ranges presented in the in situ dataset. In the NIR region of the spectrum, the constant NIR reflectance ratio suggested by Ruddick et al. (2006) (Limnol. Oceanogr. 51, 1167-1179), was valid for moderately to very turbid waters (ρw(λNIR) < 10−2) while the polynomial function, initially developed by Wang et al. (2012) (Opt. Express 20, 741-753) with remote sensing reflectances over the Western Pacific, was also valid for extremely turbid waters (ρw(λNIR) > 10−2). The results of this study suggest to use the red bounding equations and the polynomial NIR function to constrain red or NIR-modeling schemes in AC processes with the aim to improve ρw(λ) retrievals where current AC algorithms fail.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Laboratoire d'Océanologie et de Géosciences (LOG) - UMR 8187
Source :
Harvested from HAL
Files
Thumbnail
  • https://doi.org/10.1364/oe.21.021162
  • Open access
  • Access the document
Thumbnail
  • https://doi.org/10.1364/oe.21.021162
  • Open access
  • Access the document
Thumbnail
  • https://doi.org/10.1364/oe.21.021162
  • Open access
  • Access the document
Thumbnail
  • https://doi.org/10.1364/oe.21.021162
  • Open access
  • Access the document
Thumbnail
  • https://doi.org/10.1364/oe.21.021162
  • Open access
  • Access the document
Thumbnail
  • https://doi.org/10.1364/oe.21.021162
  • Open access
  • Access the document
Université de Lille

Mentions légales
Université de Lille © 2017