Abstract
An automatic cloud classi. cation algorithm is proposed for the Advanced Very High Resolution Radiometer (AVHRR), based on a 5-D histogram technique. The technique determines three-level (high, medium, low) cloud amount and the average cloud-top brightness temperature (BT) and reffctance for 18pixel areas. Comparison of the products for NOAA-11 AVHRR measurements during 14 orbits over oceans with the International Satellite Cloud Classi. cation Project DX products for the same AVHRR data set is presented.
Original language | English (US) |
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Pages (from-to) | 3047-3052 |
Number of pages | 6 |
Journal | International Journal of Remote Sensing |
Volume | 22 |
Issue number | 15 |
DOIs | |
State | Published - Jan 1 2001 |
ASJC Scopus subject areas
- General Earth and Planetary Sciences