Detekcja zachmurzenia na podstawie danych satelitarnych MODIS

• Autorzy: Leziak K. , Nasiłowska S.

Warianty tytułu

EN

Cloud detection based on the MODIS data

• Języki publikacji: PL

Abstrakty

EN

Cloud detection is an important field in meteorology and remote sensing, due to clouds role in meso- and macroscale weather processes. Most of the dangerous weather events, such as hail fall, strong wind or severe storm can be forecasted or predicted using satellite imagery. MODIS data are very useful in nephological analysis as they cover vast majority of Earth surface and provide hiperspectral images with a short revisit time. Tests of RGB compositions of MODIS bands were performed, to look for model compositions for cloud detection. Three best compositions have been chosen: RGB 17/18-6-26, RGB 30-23-8, RGB 34-1-17. They allow to delimitate clouds and identify their family, type and (in some cases) specie. MODIS cloud masks accuracy has been checked, based on model RGB compositions. Results show that each mask detects different family or type of clouds, and accuracy and precision of this process depends on the mask parameters. For proper cloud delimitation an assistance of a qualified meteorologist is required.

Słowa kluczowe

PL

rodzaj; chmura; maskowanie; MODIS

EN

cloud; type; masking; MODIS

• Wydawca: Polskie Towarzystwo Geograficzne, Oddział Teledetekcji i Geoinformatyki
• Czasopismo: Teledetekcja Środowiska
• Rocznik: 2013
• Tom: T. 49
• Strony: 27--38
• Opis fizyczny: Bibliogr. 8 poz., rys., tab., wykr., zdj.

Twórcy

autor

Leziak K.

• Wydział Geografii i Studiów Regionalnych, Uniwersytet Warszawski

autor

Nasiłowska S.

• Katedra Geoinformatyki i Teledetekcji, Wydział Geografii i Studiów Regionalnych, Uniwersytet Warszawski

Bibliografia

• 1. Ackerman S., Frey R., Strabala K., Liu Y., Gumley L., Baum B., Menzel P., 2010, Discriminating clear-sky from cloud with MODIS algorithm theoretical basis document. CooperativeInstitute for Meteorological Satellite Studies, University of Wisconsin – Madison, http:// sky.ccny.cuny.edu/wc/atbd_mod06.pdf (dostęp 05.06.2011).
• 2. Key J. R., 2002, The Cloud and Surface Parameter Retrieval (CASPR) System for Polar AVHRR User’s guide. http://stratus. ssec.wisc.edu/caspr/userman.pdf (dostęp 05.06.2011).
• 3. King M. D., Tsay S. C., Platnick S. E., Wang M., Liou K. N., 1997, Cloud Retrieval Algorithms for MODIS: Optical Thickness, Effective Particle Radius, and Thermodynamic Phase. http://modis.gsfc.nasa.gov/data/atbd/atbd_mod05. pdf (dostęp 05.06.2011).
• 4. Kotarba A. Z., 2009, A comparison of MODIS-derived cloud amount with visual surface observations. Atmospheric Research, 92 (4), s. 522-530.
• 5. Kotarba A. Z., 2010, Estimation of fractional cloud cover for Moderate Resolution Imaging Spectroradiometer/Terra cloud mask classes with high-resolution over ocean ASTER observations. Journal of Geophysical Research., 115, D22210.
• 6. Kriebel K. T., Gessel G., Kästner M., Mannstein H., 2004, The Cloud Analysis Tool APOLLO: Improvements and Validations, Institut für Physik der Atmosphäre Deutsches Fernerkundungsdatenzentrum. http://www.mssl.ucl.ac.uk/imaging/cloudmap/cloudmap/papers/DLR-IPA/Kriebel99. pdf (dostęp 05.06.2011).
• 7. Thomas S. M., Heidinger A. K., Pavolonis M. J., 2004, Comparison of NOAA’s Operational AVHRR-Derived Cloud Amount to Other Satellite-Derived Cloud Climatologies. Journal of Climate, American Meteorological Society, 17, s. 4805-4822.
• 8. http://ladsweb.nascom.nasa.gov/