A daytime cloud detection algorithm for FY-3A/VIRR data

References

• Ackerman , S.A. , Smith , W.L. , Spinhirne , J.D. and Revercomb , H.E. 1990 . The 27–28 October 1986 FIRE IFO cirrus case study: spectral properties of cirrus clouds in the 8–12 μm window . Monthly Weather Review , 118 : 2377 – 2388 .
   Web of Science ®Google Scholar
• Ackerman , S.A. , Strabala , K.I. , Menzel , W.P. , Frey , R.A. , Moeller , C.C. and Gumley , L.E. 1998 . Discriminating clear sky from clouds with MODIS . Journal of Geophysical Research , 103 : 32 141 – 32 157 .
   Web of Science ®Google Scholar
• Ackerman, S.A., Strabala, K.I., Menzel, W.P., Frey, R.A., Moeller, C.C., Gumley, L.E., Baum, B.A., SEEMAN, S.W. and ZHANG, H., 2006, Discriminating clear sky from cloud with MODIS algorithm theoretical basis documents (MOD35). http://modis.gsfc.nasa.gov/data/atbd/atbd_mod06.pdf (http://modis.gsfc.nasa.gov/data/atbd/atbd_mod06.pdf) (Accessed: 11 December 2008 ).
   Google Scholar
• Baum , B.A. , Soulen , P.F. , Strabala , K.I. , King , M.D. , Ackerman , S.A. , Menzel , W.P. and Yang , P. 2000 . Remote sensing of cloud properties using MODIS airborne simulator imagery during SUCCESS 2, cloud thermodynamic phase . Journal of Geophysical Research , 105 : 11781 – 11792 .
   Web of Science ®Google Scholar
• Cayula , J.F. and Cornillon , P. 1996 . Cloud detection from a sequence of SST images . Remote Sensing of Environment , 55 : 80 – 88 .
   Web of Science ®Google Scholar
• Chen , P.Y. , Srinivasan , R. and Fedosejevs , G. 2003 . An automated cloud detection method for daily NOAA 16 advanced very high resolution radiometer data over Texas and Mexico . Journal of Geophysical Research , 108 doi: doi:10.1029/2003JD003554
   PubMed Web of Science ®Google Scholar
• Chen , P.Y. , Srinivasan , R. , Fedosejevs , G. and Narasimhan , B. 2002 . An automated cloud detection method for daily NOAA-14 AVHRR data for Texas, USA . International Journal of Remote Sensing , 23 : 2939 – 2950 .
   Web of Science ®Google Scholar
• Gao , B.-C. , Goetz , A.F.H. and Wiscombe , W.J. 1993 . Cirrus cloud detection from airborne imaging spectrometer data using the 1.38 μm water vapour band . Geophysical Research Letters , 20 : 301 – 304 .
   Web of Science ®Google Scholar
• Gao , B.-C. , Yang , P. , Han , W. , Li , R.-R. and Wiscombe , W.J. 2002 . An algorithm using visible and 1.38 μm channels to retrieve cirrus cloud reflectances from aircraft and satellite data . IEEE Transactions on Geoscience and Remote Sensing , 40 : 1659 – 1668 .
   Web of Science ®Google Scholar
• Gómez-Chova , L. , Camps-Valls , G. , Calpe-Maravilla , J. , Guanter , L. and Moreno , J. 2007 . Cloud-screening algorithm for ENVISAT/MERIS multispectral images . IEEE Transactions on Geoscience and Remote Sensing , 45 : 4105 – 4118 .
   Web of Science ®Google Scholar
• Gutman , G. and Ignatov , A. 1996 . The relative merits of cloud/clear identification in the NOAA/NASA pathfinder AVHRR land 10-day composites . International Journal of Remote Sensing , 17 : 3295 – 3304 .
   Web of Science ®Google Scholar
• Heidinger , A.K. and Pavolonis , M.J. 2005 . Global daytime distribution of overlapping cirrus cloud from NOAA's advanced very high resolution radiometer . Journal of Climate , 18 : 4772 – 4784 .
   Web of Science ®Google Scholar
• Holben , B.N. 1986 . Characteristics of maximum-value composite images from temporal AVHRR data . International Journal of Remote Sensing , 7 : 1417 – 1434 .
   Web of Science ®Google Scholar
• Kärner , O. and Girolamo , L.D. 2001 . On automatic cloud detection over ocean . International Journal of Remote Sensing , 22 : 3047 – 3052 .
   Web of Science ®Google Scholar
• Kaufman , Y.J. , Remer , L.A. , Tanré , D. , Li , R.-R. , Kleidman , R. , Mattoo , S. , Levy , R.C. , Eck , T.F. , Holben , B.N. , Ichoku , C. , Martins , J.V. and Koren , I. 2005 . A critical examination of the residual cloud contamination and diurnal sampling effects on MODIS estimates of aerosol over ocean . IEEE Transactions on Geoscience and Remote Sensing , 43 : 2886 – 2897 .
   Web of Science ®Google Scholar
• Khlopenkov , K.V. and Trishchenko , A.P. 2007 . SPARC: new cloud, snow, and cloud shadow detection scheme for historical 1-km AVHRR data over Canada . Journal of Atmospheric and Oceanic Technology , 24 : 322 – 343 .
   Web of Science ®Google Scholar
• King , M.D. , Tsay , S.C. , Ackerman , S.A. and Larsen , N.F. 1998 . Discriminating heavy aerosol, clouds and fires during SCAR-B: application of airborne multispectral MAS data . Journal of Geophysical Research , 103 : 31989 – 31999 .
   Web of Science ®Google Scholar
• Kriebel , K.T. , Gesell , G. , Kästner , M. and Mannstein , H. 2003 . The cloud analysis tool APOLLO: improvements and validations . International Journal of Remote Sensing , 24 : 2389 – 2408 .
   Web of Science ®Google Scholar
• Menzel , W.P. , Smith , W.L. and Stewart , T.R. 1983 . Improved cloud motion wind vector and altitude assignment using VAS . Journal of Climate and Applied Meteorology , 22 : 376 – 384 .
   Google Scholar
• Meyer , K. , Yang , P. and Gao , B.-C. 2004 . Optical thickness of tropical cirrus clouds derived from the MODIS 0.66- and 1.375-μm channels . IEEE Transactions on Geoscience and Remote Sensing , 42 : 833 – 841 .
   Web of Science ®Google Scholar
• Murtagh , F. , Barreto , D. and Marcello , J. 2003 . Decision boundaries using Bayes factors: the case of cloud masks . IEEE Transactions on Geoscience and Remote Sensing , 41 : 2952 – 2958 .
   Web of Science ®Google Scholar
• Ou , S.C. , Liou , K.N. , King , M.D. and Tsay , S.C. 1999 . Remote sensing of cirrus cloud parameters based on a 0.63–3.7 μm radiance correlation technique applied to AVHRR data . Geophysical Research Letters , 26 : 2437 – 2440 .
   Web of Science ®Google Scholar
• Rossow , W.B. and Garder , L.C. 1993 . Cloud detection using measurements of infrared and visible radiance for ISCCP . Journal of Climate , 6 : 2341 – 2369 .
   Web of Science ®Google Scholar
• Saunders , R.W. and Kriebel , K.T. 1988 . An improved method for detecting clear sky and cloudy radiances from AVHRR data . International Journal of Remote Sensing , 9 : 123 – 150 .
   Web of Science ®Google Scholar
• Schiffer , R.A. and Rossow , W.B. 1983 . The international satellite cloud climatology project (ISCCP): the first project of the world climate research program . Bulletin of the American Meteorological Society , 66 : 498 – 1505 .
   Google Scholar
• Song , X. , Zhao , Y. and Liu , Z. Cloud detection and analysis of MODIS images . Proceedings of IEEE International Geoscience and Remote Sensing Symposium . September 20–24 2004 , Anchorage, AK. pp. 20 – 24 . Piscataway, NJ : IEEE .
   Google Scholar
• Stowe , L.L. , Davis , P.A. and Mcclain , E.P. 1999 . Scientific basis and initial evaluation of the CLAVR-1 global clear/cloud classification algorithm for the advanced very high resolution radiometer . Journal of Atmospheric and Oceanic Technology , 16 : 656 – 681 .
   Web of Science ®Google Scholar
• Strabala , K.I. , Ackerman , S.A. and Menzel , W.P. 1994 . Cloud properties inferred from 8–12 μm data . Journal of Applied Meteorology , 33 : 212 – 229 .
   Google Scholar
• Sun , Z. , Zhao , Z. and Han , Z. The thresholds research of cirrus detection using reflectance ratio of MODIS 1.38 μm and 1.64 μm channels . 16th Conference Proceedings of Space Exploration Professional Committee of Chinese Society of Space Science . 2003 , Beihai, China. pp. 263 – 270 . Beijing : Tsinghua Tongfang Knowledge Network Technology Co .
   Google Scholar
• Vemury , S. , Stowe , L.L. and Anne , V.R. 2001 . AVHRR pixel level clear-sky classification using dynamic thresholds (CLAVR-3) . Journal of Atmospheric and Oceanic Technology , 18 : 169 – 186 .
   Web of Science ®Google Scholar
• Wylie , D.P. and Menzel , W.P. 1989 . Two years of cloud cover statistics using VAS . Journal of Climate , 2 : 380 – 392 .
   Web of Science ®Google Scholar
• Wylie , D.P. , Menzel , W.P. , Woolf , H.M. and Strabala , K.I. 1994 . Four years of global cloud statistics using HIRS . Journal of Climate , 7 : 1972 – 1986 .
   Web of Science ®Google Scholar
• Yang , J. , Dong , C. , Lu , N. , Yang , Z. , Shi , J. , Zhang , P. , Liu , Y. and Cai , B. 2009 . FY-3A: the new generation polar-orbiting meteorological satellite of China . Acta Meteorologica Sinica , 67 : 501 – 509 .
   Google Scholar
• Yang , Z. , Wood , G. and O'Reilly , J.E. Cloud detection in sea surface temperature images by combining data from NOAA polar-orbiting and geostationary satellites . Proceedings of IEEE International Geoscience and Remote Sensing Symposium . July 24–28 2000 , Honolulu, HI. Vol. 5 , pp. 1817 – 1820 . Piscataway, NJ : IEEE .
   Google Scholar
• Zhang , Z. , Wang , M. , Jiang , X. , Wang , P. , Ling , L. , Yang , L. and Rong , X. 1998 . Remote sounding technique of cirrus cloud and aircraft flight experiments . Proceedings of SPIE , 3501 : 521 – 530 .
   Google Scholar