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Conference papers

Automatic cloud screening in NOAA-AVHRR day-time imagery

Abstract : We evaluate how much of the cloud cover can be retrieved using only visible and near infrared informations from a wide-field sensor without thermal infrared channel, such as the projected VEGETATION radiometer of the French Space Agency. AVHRR day-time imagery is used in order to simulate this radiometer. An algorithm is written making only use of the first two AVHRR channels, and is called the WSD algorithm. IN order to assess the accuracy of its retrieval of the cloud cover, its results are compared to what is called a reference algorithm which on the contrary makes use of all spectral channels, and is based upon the published work of Saunders and Kriebel. The main originality of the first test of the WSD algorithm is the combination of dynamic thresholding of both reflectance and ratio histograms in an iterative fashion. It increases the efficiency of the cloud screening in the following ways: increase the number of clouds detected, decrease the number of actually clear pixels declared as cloudy, make the detection rather insensitive to predefined values. The WSD algorithm is completed by a thresholding on the local variance of the AVHRR 2 reflectance over the ocean. The study shows that cloud screening within a single AVHRR image is possible over Western Europe with visible only. For this area, visible range is more efficient for screening than thermal infra-red. Over the desertic soils of Niger, this is no longer true and both wavelength ranges are required for cloud filtering. This study was funded by Centre National d'Etudes Spatiales (CNES).
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Contributor : Lucien Wald Connect in order to contact the contributor
Submitted on : Tuesday, April 20, 2010 - 4:04:19 AM
Last modification on : Thursday, March 17, 2022 - 10:08:13 AM
Long-term archiving on: : Tuesday, September 14, 2010 - 3:57:56 PM


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  • HAL Id : hal-00464349, version 1


Lucien Wald, Geneviève Sèze, Michel Desbois. Automatic cloud screening in NOAA-AVHRR day-time imagery. 5th AVHRR Data Users Meeting, Jun 1991, Tromsoe, Norway. pp.159-167. ⟨hal-00464349⟩



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