Drönner, J.; Egli, S.; Thies, B.; Bendix, J. & Seeger, B. (2019): <b>FFLSD - Fast Fog and Low Stratus Detection tool for large satellite time-series</b>. <i>Computers & Geosciences</i> <b>1</b>, 1-36.
Resource Description
Title:
FFLSD - Fast Fog and Low Stratus Detection tool for large satellite time-series
email:
bendix <at> staff.uni-marburg.de
Deutschhausstraße 12
Room No. 02 A 48
35032 Marburg
Faculty of Geography
Germany
Individual:
Bernhard Seeger
Contact:
email:
webmaster <at> lcrs.de
Abstract:
Fast Fog and Low Stratus Detection (FFLSD) is a processing tool enabling detection of fog and low stratus (FLS) on very large time-series of Meteosat Second Generation data. We combine approaches for FLS detection by day and night into one homogeneous and efficient processing tool. The main unification improvements are: (1) consistent spatial tiling instead of various pixel clustering approaches, (2) uniform generation of sun and viewing angle dependent thresholds for individual tiles, (3) flexible study areas instead of area dependence, (4) parallel raster processing using the Open Computing Language (OpenCL), (5) and efficient algorithms for complex processing steps like histogram generation and analysis. As a result, users are enabled to generate products like long-term FLS climatologies with reasonable resources and short processing times. FFLSD is available as open source and allows reuse and extensions for other tasks.
Keywords:
| Fog and low stratus detection | Climatology | Remote sensing | Meteosat second generation | Parallel algorithm |
