Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 8, issue 4
Articles | Volume 8, issue 4
https://doi.org/10.5194/amt-8-1757-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-1757-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 8, issue 4
Research article
 | 
15 Apr 2015
Research article |  | 15 Apr 2015

Bayesian cloud detection for MERIS, AATSR, and their combination

A. Hollstein, J. Fischer, C. Carbajal Henken, and R. Preusker

Viewed

Total article views: 3,806 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,051 1,624 131 3,806 137 134
  • HTML: 2,051
  • PDF: 1,624
  • XML: 131
  • Total: 3,806
  • BibTeX: 137
  • EndNote: 134
Views and downloads (calculated since 06 Nov 2014)
Cumulative views and downloads (calculated since 06 Nov 2014)

Cited

Saved (final revised paper)

Saved (preprint)

Latest update: 23 May 2025
Download
Short summary
Cloud detection is one of the key components for the exploitation of Earth observation images. We discuss the use of probabilistic algorithms for MERIS and AATSR on-board the ENVISAT satellite. As a new approach, we used an automated search to find the best combination of channels for the algorithm, which led to a number of unusual combinations that have not been used in the past. We show how very small samples of manually classified cloud truth images can be used to set up efficient algorithms.
Read more
Share