Cloud detection in AVHRR and ATSR data with APOLLO

Karl Theodor Kriebel; Gerhard Gesell; Martina Kaestner; H. Mannstein

doi:10.1117/12.196703

23 December 1994 Cloud detection in AVHRR and ATSR data with APOLLO

Karl Theodor Kriebel, Gerhard Gesell, Martina Kaestner, H. Mannstein

Proceedings Volume 2309, Passive Infrared Remote Sensing of Clouds and the Atmosphere II; (1994) https://doi.org/10.1117/12.196703
Event: Satellite Remote Sensing, 1994, Rome, Italy

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.

Citation Download Citation

Karl Theodor Kriebel, Gerhard Gesell, Martina Kaestner, and H. Mannstein "Cloud detection in AVHRR and ATSR data with APOLLO", Proc. SPIE 2309, Passive Infrared Remote Sensing of Clouds and the Atmosphere II, (23 December 1994); https://doi.org/10.1117/12.196703

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