Title :
Dynamic threshold cloud detection algorithm improvement for AVHRR and SEVIRI images
Author :
Poli, Gabriele ; Adembri, Giulia ; Gherardelli, Monica ; Tommasini, Maurizio
Author_Institution :
Dept. of Electron. & Telecommun., Univ. of Florence, Florence, Italy
Abstract :
The aim of this work is to present a simple and fast automatic cloud detection algorithm for Advanced Very High Resolution Radiometer (AVHRR) and Spinning Enhanced Visible and Infrared Imager (SEVIRI) satellite images. The algorithm was developed by the Department of Electronics and Telecommunications (University of Florence) for the Satellite Receiving Station of Prato Campus (University of Florence), where AVHRR and SEVIRI data have been directly received since 1997. The algorithm is designed to meet the need for real-time operational processing of land and sea products, such as vegetation indexes and regional land/sea surface temperature maps (i.e. Italy). It is developed as simple and fast processing which does not need to use ancillary data. The algorithm is tested for AVHRR and SEVIRI images directly received at the Station which are characterized by different percentages of cloudy pixels. Algorithm results are compared with control cloud masks, which are created manually by a visual inspection of the image to be cloud screened.
Keywords :
clouds; geophysical image processing; infrared imaging; radiometry; remote sensing; AVHRR images; Advanced Very High Resolution Radiometer; Department of Electronics and Telecommunications; Prato Campus Satellite Receiving Station; SEVIRI images; Spinning Enhanced Visible and Infrared Imager; University of Florence; algorithm improvement; automatic cloud detection algorithm; dynamic threshold cloud detection algorithm; land product real time operational processing; regional land-sea surface temperature maps; sea product real time operational processing; vegetation indices; Algorithm design and analysis; Clouds; Detection algorithms; Heuristic algorithms; Ocean temperature; Pixel; Reflectivity; AVHRR; SEVIRI; automatic cloud detection;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5653186