FFLSD - Fast Fog and Low Stratus Detection tool for large satellite time-series
| Autor: | Sebastian Egli, Bernhard Seeger, Johannes Drönner, Boris Thies, Jörg Bendix |
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| Rok vydání: | 2019 |
| Předmět: |
Pixel
Computer science 0208 environmental biotechnology Real-time computing Parallel algorithm 02 engineering and technology computer.file_format Reuse 010502 geochemistry & geophysics Viewing angle 01 natural sciences 020801 environmental engineering Histogram Satellite Computers in Earth Sciences Raster graphics Cluster analysis computer 0105 earth and related environmental sciences Information Systems |
| Zdroj: | Computers & Geosciences. 128:51-59 |
| ISSN: | 0098-3004 |
| DOI: | 10.1016/j.cageo.2019.04.003 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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