Abstract

A new online resource from the National Oceanic and Atmospheric Administration provides an interactive view of global satellite ocean color and true-color imagery.

Highlights

  • A number of ocean-colour sensors designed to produce global ocean-colour products have been successfully launched in recent years: the Ocean Color Temperature Scanner (OCTS) from NASDA ( Japan Aerospace Exploration Agency (JAXA)) and CNES’s Polarization and Directionality of the Earth’s Reflectances (POLDER)-1, NASA’s Sea-Viewing Wide Field-of-View Sensor (SeaWiFS), NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) on Terra, European Space Agency (ESA)’s Medium Resolution Imaging Spectrometer (MERIS), NASA’s MODIS on Aqua, the Global Imager (GLI) from NASDA ( JAXA) and POLDER-2 from CNES

  • Othe TOA sun glint radiance T (λ)Lg(λ) is mostly masked out and residual contamination is corrected based on a model of sea surface slope distribution (Cox and Munk, 1954; Wang and Bailey, 2001); Othe fact that [Lw (λ)]N is negligible in the NIR, can be used to estimate the combination La(λ) + Lra(λ) in the NIR bands, and aerosol modelling can be used to extrapolate it from the NIR to the visible bands; and

  • Supported by the corresponding agencies and countries, there has been a significant effort in acquiring ocean-colour in situ data, for validating the ocean-colour products produced by the satellite ocean-colour sensors SeaWiFS, MODIS, MERIS, OCTS/GLI, and POLDER

Read more

Summary

The IOCCG Atmospheric Correction Working Group

The IOCCG established the atmospheric correction working group (ACWG) because atmospheric correction is a key procedure in remote sensing of ocean colour. Four operational atmospheric correction algorithms are discussed, and their performances for various cases are compared These include algorithms for SeaWiFS and MODIS-Aqua (Gordon and Wang, 1994a; Gordon, 1997), MERIS Significant progress has been made in the development of other approaches for atmospheric correction, dealing with cases for strongly-absorbing aerosols and waters with non-negligible near-infrared (NIR) ocean contributions. Another objective of the ACWG was to provide the ocean community with an overview of the current status of atmospheric correction algorithm development, including a more complete list of references for those who are interested in the details. The report focuses only on intercomparisons between the various algorithms

Brief History
The MERIS Algorithm
The POLDER Algorithm
Radiative-Transfer Code
Aerosol Models
Case-1 Water
Case-2 Water Examples
The TOA Radiance Data Set
Comparison Results
Aerosol Optical Thickness Results
Sediment-Dominated Waters
Yellow Substance-Dominated Waters
Effects of Vertical Distribution of Absorbing Aerosol
Case-1 Waters
Case-2 Waters
Cases with Strongly-Absorbing Aerosols
The NOMAD Data Set for Algorithm Evaluation for Global Oceans
The BOUSSOLE In Situ Data Set for Algorithm Evaluation
Conclusions and Recommendations
Radiometric Model
Aerosol Model Inversion
Dealing with the ‘Black-Pixel Assumption’
Aerosol Optical Thickness Inversion
Dealing with Absorbing Aerosols
Sun Glint Correction
Whitecap Correction
Introduction
Spectral Matching Algorithm
Spectral Optimization Algorithm
The SWIR Algorithm
Neural Network Approach
Formal Definition of Diffuse Transmittance
Ocean Surface Effects
In Water BRDF Effects
The f -Coefficient
The Q-Coefficient
Additional Comments

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.