Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Atmospheric correction over case 2 waters with an iterative fitting algorithm: relative humidity effects.

P E Land1, J D Haigh

  • 1Department of Space and Atmospheric Physics, Imperial College, London SW7 2BZ, United Kingdom.

Applied Optics
|February 12, 2008
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Sensitivity Analysis of the Impact of Rain on Regional and Global Sea-Air Fluxes of CO2.

PloS one·2016
Same author

The physical demands of Super League rugby: Experiences of a newly promoted franchise.

European journal of sport science·2015
Same author

Rapid identification of bacteria from bioMérieux BacT/ALERT blood culture bottles by MALDI-TOF MS.

British journal of biomedical science·2014
Same author

Atmospheric correction over case 2 waters with an iterative fitting algorithm.

Applied optics·2010
Same author

Fundamentals of pair diffusion in kinematic simulations of turbulence.

Physical review. E, Statistical, nonlinear, and soft matter physics·2006
Same author

Acceleration statistics as measures of statistical persistence of streamlines in isotropic turbulence.

Physical review. E, Statistical, nonlinear, and soft matter physics·2005
Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026
Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026
Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026
Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026
Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026
Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026
See all related articles

This study improves atmospheric correction algorithms for satellite ocean color data. By accounting for aerosol components and humidity, it better separates water and aerosol spectral signals, enhancing accuracy over Case 2 waters.

Area of Science:

  • Earth and Atmospheric Sciences
  • Remote Sensing
  • Oceanography

Background:

  • Standard atmospheric correction algorithms for satellite imagery often assume a simple Angström power law for aerosol optical depth, which is insufficient for complex environments.
  • This assumption can lead to errors in ocean color data, misattributing water spectral properties to aerosol variations, particularly in Case 2 waters.

Purpose of the Study:

  • To enhance atmospheric correction algorithms for satellite ocean color imagery.
  • To improve the retrieval of aerosol properties and spectral unmixing of water constituents in Case 2 waters.
  • To address limitations of the Angström power law assumption in aerosol spectral variation.

Main Methods:

  • Developed an iterative fitting algorithm that calculates spectral optical depth based on aerosol type and relative humidity.

Related Experiment Videos

  • Treated aerosols as mixtures of components (e.g., soot) rather than broad types (e.g., urban).
  • Attempted to retrieve relative humidity alongside aerosol type.

    • Main Results:

    • The improved algorithm demonstrated enhanced performance over previous methods using simulated Case 1 and Case 2 data.
    • The new approach better distinguishes spectral effects caused by water constituents from those caused by aerosols.
    • The retrieval of relative humidity was not successfully achieved in this study.

    Conclusions:

    • The refined algorithm offers a more accurate method for atmospheric correction of ocean color imagery, especially in optically complex Case 2 waters.
    • Modeling aerosols as component mixtures and incorporating relative humidity improves spectral unmixing.
    • Further research is needed to successfully retrieve relative humidity for even more robust atmospheric correction.