Distinguishing aerosols from clouds in global, multispectral satellite data with automated cloud classification algorithms

Journal of Atmospheric and Oceanic Technology

Volumn 25, Issue 4, 2008, Pages 501-518

  Hutchison, Keith D ^a   Iisager, Barbara D ^b   Kopp, Thomas J ^c   Jackson, John M ^b  

^a The University of Texas at Austin   (United States)

^b NORTHROP GRUMMAN CORPORATION   (United States)

^c AEROSPACE CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIR POLLUTION; ALGORITHMS; ARCHITECTURAL DESIGN; ATMOSPHERIC AEROSOLS; ATMOSPHERICS; ATOMIZERS; BOOLEAN FUNCTIONS; CLASSIFICATION (OF INFORMATION); CLOUDS; COMPUTER NETWORKS; DUST; EVOLUTIONARY ALGORITHMS; HEAVY WATER; IMAGING TECHNIQUES; INTEGER PROGRAMMING; METEOROLOGICAL INSTRUMENTS; NASA; PIXELS; RADIOMETERS; RADIOMETRY; REFLECTION; REUSABILITY; SATELLITE COMMUNICATION SYSTEMS; SATELLITES; SCHEDULING ALGORITHMS; SMOKE; SPECTROMETERS; VOLCANOES;

AMERICAN METEOROLOGICAL SOCIETY (AMS); BAND PASS; CLOUD CLASSIFICATION; CLOUDY CONDITIONS; DATA COLLECTED; DUAL GAIN; GLOBAL DATASETS; ICE CLOUDS; INDUSTRIAL POLLUTION; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER (MODIS) SENSOR; MODIS IMAGERY; MULTISPECTRAL SATELLITE DATA; NATIONAL POLAR ORBITING OPERATIONAL ENVIRONMENTAL SATELLITE SYSTEM; NEW APPROACHES; SINGLE CLOUD; SPECTRAL TESTING; VOLCANIC ASH (VA); WATER CLOUDS;

AEROSOLS;

AEROSOL; ALGORITHM; CLOUD CLASSIFICATION; COMPARATIVE STUDY; MODIS; SATELLITE DATA; SATELLITE IMAGERY; SPECTRAL REFLECTANCE; SPECTRAL RESOLUTION; TEXTURE;

EID: 45749142458     PISSN: 07390572     EISSN: None     Source Type: Journal    
DOI: 10.1175/2007JTECHA1004.1     Document Type: Article

References (26)

1. Ackerman, S., and Coauthors, 1997: Discriminating clear-sky from cloud with MODIS. NASA Algorithm Theoretical Basis Doc. MOD35, version 3.2, 95 pp.
2. Ackerman, S., and Coauthors, 2002: Discriminating clear-sky from cloud with MODIS. MODIS Algorithm Theoretical Basis Doc. MOD35, version 4.0, 115 pp. [Available online at http://modis.gsfc.nasa.gov/data/atbd/ atbd_mod06.pdf.]
3. Brennan, J. I., Y. J. Kaufman, I. Koren, and R. R. Li, 2005: Aerosol-cloud interaction - Misclassification of MODIS clouds in heavy aerosol. IEEE Trans. Geosci. Remote Sens., 43, 911-915.
4. Carlson, T. N., and J. M. Prospero, 1972: The large-scale movement of Saharan air outbreaks over the northern equatorial Atlantic. J. Appl. Meteor., 11, 283-297.
5. Hogan, D., S. Zaccheo, T. Kennelly, and Y. He, 2003: Visible Infrared Imaging Radiometer Suite (VIIRS) active fire mask, active fires. Algorithm Theoretical Basis Doc. P1187-TR-I-001 version 1.0.2, Atmospheric Environmental Research, Inc., 55 pp.
6. Hutchison, K. D., and N. J. Choe, 1996: Application of 1.38-μm imagery for thin cirrus detection in daytime imagery collected over land surfaces. Int. J. Remote Sens., 17, 3325-3342.
7. Hutchison, K. D., and J. M. Jackson, 2003: Automated cloud detection over desert regions using the 412 nanometer MODIS channel. Geophys. Res. Lett., 30, 2187, doi:10.1029/2003GL018446.
8. Hutchison, K. D., and A. P. Cracknell, 2005: Visible Infrared Imager Radiometer Suite: A New Operational Cloud Imager. CRC Press, 256 pp.
9. Hutchison, K. D., Hardy, and B.-C. Gao, 1995: Improved detection of optically thin cirrus clouds in nighttime multispectral meteorological satellite imagery using total integrated water vapor information. J. Appl. Meteor., 34, 1161-1168.
10. Hutchison, K. D., B. J. Etherton, and P. C. Topping, 1997a: Validation of automated cloud top phase algorithms: Distinguishing between cirrus clouds and snow in a priori analyses of AVHRR imagery. Opt. Eng., 36, 1727-1737.
11. Hutchison, K. D., B. J. Etherton, P. C. Topping, and H. L. Huang, 1997b: Cloud top phase determination from the fusion of signatures in daytime AVHRR imagery and HIRS data. Int. J. Remote Sens., 18, 3245-3262.
12. Hutchison, K. D., J. K. Roskovensky, J. M. Jackson, A. K. Heidinger, T. J. Kopp, M. J. Pavolonis, and R. Frey, 2005: Automated cloud detection and classification of data collected by the Visible Infrared Imager Radiometer Suite (VIIRS). Int. J. Remote Sens., 26, 4681-4706.
13. Inoue, T., 1985: On the temperature and effective emissivity determination of semi-transparent cirrus clouds by bi-spectral measurements in the 10-μm window region. J. Meteor. Soc. Japan, 63, 88-99.
14. Kaufman, Y. A., D. Tanré, and O. Boucher, 2002: A satellite view of aerosols in the climate system. Nature, 419, 215-223.
15. Kaufman, Y. J., A. Karnieli, and D. Tanré, 2000: Detection of dust over deserts using satellite data in the solar wavelengths. IEEE Trans. Geosci. Remote Sens., 38, 525-531.
16. Martins, J. V., D. Tanré, L. A. Remer, Y. J. Kaufman, S. Mattoo, and R. Levy, 2002: MODIS cloud screening for remote sensing of aerosol over oceans using spatial variability. Geophys. Res. Lett., 29, 8009, doi:10.1029/2001GL013252.
17. Ou, S. C., K. N. Liou, Y. Takano, E. Wong, K. Hutchison, and T. Samec, 2005: Comparison of the University of California at Los Angeles line-by-line equivalent radiative transfer model and the moderate resolution transmission model for accuracy assessment of the National Polar-orbiting Operational Environmental Satellite System's Visible-lnfrared Imager-Radiometer Suite cloud algorithms. Appl. Opt., 44, 6274-6284.
18. Pavolonis, M. J., and A. K. Heidinger, 2004: Daytime cloud overlap detection from AVHRR and VIIRS. J. Appl. Meteor., 43, 762-778.
19. Pavolonis, M. J., W. F. Feltz, A. K. Heidinger, and G. M. Gallina, 2006: A daytime complement to the reverse absorption technique for improved automated detection of volcanic ash. J. Atmos. Oceanic Technol., 23, 1422-1444.
20. Prata, A. J., 1989a: Observations of volcanic ash clouds in the 10-12-micron window using AVHRR/2 data. Int. J. Remote Sens., 10, 751-761.
21. Prata, A. J., 1989b: Infrared radiative transfer calculations for volcanic ash clouds. Geophys. Res. Lett., 16, 1293-1296.
22. Prata, A. J., G. Bluth, B. Rose, D. Schneider, and A. Tupper, 2001: Comments on "Failures in detecting volcanic ash from a satellite-based technique." Remote Sens. Environ., 78, 341-346.
23. Reed, B., 2002: VIIRS Cloud Mask-(VCM) Algorithm Theoretical Basis Doc., version 5. SBRS Doc. Y2412, Raytheon Systems, 44 pp. [Available online at http://eic.ipo.noaa.gov/IPOarchive/SCI/atbd/mso1AEDF.pdf.]
24. Remer, L. A., and Coauthors, 2005: The MODIS aerosol algorithm, products, and validation. J. Atmos. Sci., 62, 947-973.
25. Salomonson, V. V., W. L. Barnes, P. W. Maymon, H. E. Montgomery, and H. Ostrow, 1989: MODIS: Advanced facility instrument for studies of the earth as a system. IEEE Trans. Geosci. Remote Sens., 27, 145-153.
26. Shenk, W., and R. Curran, 1974: The detection of dust storms over land and water with satellite visible and infrared measurements. Mon. Wea. Rev., 102, 830-837.