78
Views
14
CrossRef citations to date
0
Altmetric
Original Articles

Atmospheric correction of Advanced Very High Resolution Radiometer imagery

, &
Pages 1349-1355 | Published online: 07 Jul 2010
 

Abstract

The present paper proposes an automated approach to estimate the aerosol reflectance at the Advanced Very High Resolution Radiometer (AVHRR) red channel. The aerosol dominant pixels were separated through two orthogonal transforms. The aerosol reflectance ratio at these pixels was estimated through regression. The results are validated with in situ measurements. The retrieved water-leaving reflectance matched the modelled values with a relative error below 45%. The smallest error values were at the stations with the closest sampling time to image acquisition. However, a weak correlation of 16% was found between water-leaving reflectance and aerosol signals. This suggested that these errors could be attributed to the spatial and temporal variability between the two sampling methods (ship measurement and pixel reflectance).

Acknowledgments

The authors would like to thank Dr Kevin Ruddick from the Management Unit of Mathematical Models of the North Sea (MUMM), for scientific support and for providing the in situ data; Dundee University, Scotland, for providing the AVHRR images; the Institute for Environmental Studies (IVM), Free University of Amsterdam, for providing the specific inherent optical properties.The financial support of ESA PRODEX Experiment Arrangement No. 90018, is gratefully acknowledged.

Notes

An updated version of a paper originally presented at Oceans from Space ‘Venice 2000’ Symposium, Venice, Italy, 9–13 October 2000.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 689.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.