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Proceedings Paper

Cloud detection in AVHRR and ATSR data with APOLLO
Author(s): Karl Theodor Kriebel; Gerhard Gesell; Martina Kaestner; H. Mannstein
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Paper Abstract

Cloud detection from satellite data usually relies on the assignment of reflectance and radiation temperature of a pixel to a cloud or a cloud free surface according to preset thresholds. It also exploits the contrast between adjacent pixels. It will be shown that the so called split window information like that provided by the `Advanced Very High Resolution Radiometer' (AVHRR) onboard the NOAA satellites is a powerful tool to reduce ambiguity in cloud detection. The reflected part of the medium infrared spectral information is used for phase detection. Double view information like that of the `Along Track Scanning Radiometer' (ATSR) on ERS-1 may be of substantial help in cloud identification, but a careful georeferencing is required. An algorithm package called `AVHRR Processing scheme Over cLouds, Land and Ocean' (APOLLO) which can also process ATSR data, is used to derive cloud masks from AVHRR and ATSR data for day and night satellite overpasses. Several products can be obtained from the image files together with the cloud mask. From the cloud free pixels surface products can be derived. Cloud cover is derived from all pixels while cloud properties like the liquid water path are derived from fully cloudy pixels only. Examples are shown which are derived from a regional cloud climatology.

Paper Details

Date Published: 23 December 1994
PDF: 9 pages
Proc. SPIE 2309, Passive Infrared Remote Sensing of Clouds and the Atmosphere II, (23 December 1994); doi: 10.1117/12.196703
Show Author Affiliations
Karl Theodor Kriebel, DLR (Germany)
Gerhard Gesell, DLR (Germany)
Martina Kaestner, DLR (Germany)
H. Mannstein, DLR (Germany)


Published in SPIE Proceedings Vol. 2309:
Passive Infrared Remote Sensing of Clouds and the Atmosphere II
David K. Lynch, Editor(s)

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