Automated cloud classification of global AVHRR data using a fuzzy logic approach

Journal of Applied Meteorology

Volumn 36, Issue 11, 1997, Pages 1519-1540

  Baum, Bryan A ^a   Tovinkere, Vasanth ^b   Titlow, Jay ^b   Welch, Ronald M ^c  

^a NASA LANGLEY RESEARCH CENTER   (United States)

^b SCIENCE APPLICATIONS INTERNATIONAL CORPORATION   (United States)

^c SOUTH DAKOTA SCHOOL OF MINES AND TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AVHRR; CLOUD CLASSIFICATION;

EID: 0031401993     PISSN: 08948763     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0450(1997)036<1519:ACCOGA>2.0.CO;2     Document Type: Article

References (38)

1. Bankert, R. L., 1994: Cloud classification of AVHRR imagery in maritime regions using a probabilistic neural network. J. Appl. Meteor., 33, 909-918.
2. Baum, B. A., and B. A. Wielicki, 1994: Cirrus cloud retrieval using infrared sounding data: Multilevel cloud errors. J. Appl. Meteor., 33, 107-117.
3. _, and Coauthors, 1995: Satellite remote sensing of multiple cloud layers. J. Atmos. Sci., 52, 4210-4230.
4. Brown, J. W., O. B. Brown, and R. H. Evans, 1993: Calibration of Advanced Very High Resolution Radiometer infrared channels: A new approach to nonlinear correction. J. Geophys. Res., 98, 18 257-18 268.
5. Chatterjee, S., and S. Chatterjee, 1983: Estimation of misclassification probabilities by bootstrap methods. Commun. Stat. Simul. Comp., 12, 645-656.
6. Chen, D. W., S. K. Sengupta, and R. M. Welch, 1989: Cloud field classification based upon high spatial resolution textural features, Part 2, Simplified vector approaches. J. Geophys. Res., 94, 14749-14765.
7. Coakley, J. A., Jr., and F. P. Bretherton, 1982: Cloud cover from high resolution scanner data: Detecting and allowing for partially filled fields of view. J. Geophys. Res., 87, 4917-4932.
8. Devijer, P. A., and J. Kittler, 1982: Pattern Recognition: A Statistical Approach. Prentice Hall, 448 pp.
9. Ebert, E., 1987: A pattern recognition technique for distinguishing surface and cloud types in polar regions. J. Climate Appl. Meter., 26, 1412-1427.
10. _, 1989: Analysis of polar clouds from satellite imagery using pattern recognition and a statistical cloud analysis scheme. J. Appl. Meteor., 28, 382-399.
11. Foley, J. D., and A. VanDam, 1984: Fundamentals of Interactive Computer Graphics. Addison-Wesley, 664 pp.
12. Garand, L., 1988: Automated recognition of oceanic cloud patterns. Part I: Methodology and application to cloud climatology. J. Climate, 1, 20-39.
13. Giarratano, J., and G. Riley, 1989: Expert Systems: Principles and Programming. PWS-Kent, 632 pp.
14. Hahn. C. J., S. G. Warren, J. London, R. M. Cherrin, and R. Jenne, 1982: Atlas of simultaneous occurrence of different cloud types over the ocean. NCAR Tech. Note TN-201+STR, 211 pp. [Available from National Center for Atmospheric Research, Boulder, CO 80307.]
15. _, _, _, _, and _, 1984: Atlas of simultaneous occurrence of different cloud types over land. NCAR Tech. Note TN-241+STR, 209 pp. [Available from National Center for Atmospheric Research, Boulder, CO 80307.]
16. Haralick, R., M., K. S. Shanmugam, and I. Dinstein, 1973: Textural features for image classification. IEEE Trans. Syst. Man. Cybern., SMC-3 (6), 610-621.
17. Inoue, T., 1987: A cloud type classification with NOAA 7 split-window measurements. J. Geophys. Res., 92, 3991-4000.
18. Key, J., 1990: Cloud cover analysis with arctic AVHRR data, Part H: Classification with spectral and textural measures. J. Geophys. Res., 95, 7661-7675.
19. _, J. A. Maslanik, and A. J. Schweiger, 1989: Classification of merged AVHRR and SMMR Arctic data with neural networks. Photogramm. Eng. Remote Sens., 55, 1331-1338.
20. Kidwell, K. B., 1997: NOAA polar orbiter data users guide. NOAA National Climatic Data Center, Satellite Data Services Division, 412 pp. [Available from National Climatic Data Center, 151 Patton Ave., Room 120, Asheville, NC 28801-5001.]
21. Lee, J., R. Weger, S. K. Sengupta, and R. M. Welch, 1990: A neural network approach to cloud classification. IEEE Trans. Geosci. Remote Sens., 28, 846-855.
22. Menzel, W. P., D. P. Wylie, and K. I. Strabala, 1992: Seasonal and diurnal changes in cirrus clouds as seen in four years of observations with the VAS. J. Appl. Meteor., 31, 370-385.
23. Pankiewicz, G. S., 1995: Pattern recognition techniques for the identification of cloud and cloud systems. Meteor. Appl., 2, 257-271.
24. Peak, J. E., and P. M. Tag, 1992: Toward automated interpretation of satellite imagery for navy shipboard applications. Bull. Amer. Meteor. Soc., 73, 995-1008.
25. Penaloza, M. A., and R. M. Welch, 1996: Feature selection for classification of polar regions using a fuzzy expert system. Remote Sens. Environ., 58, 81-100.
26. Rabindra, P., S. K. Sengupta, and R. M. Welch, 1992: An interactive hybrid expert system for polar cloud and surface classification. Environmetrics, 3, 121-148.
27. Rao, C. R. N., and J. Chen, 1994: Post-launch calibration of the visible and near-infrared channels of the Advanced Very High Resolution Radiometer on NOAA-7, -9, and -11 spacecraft. NOAA Tech. Rep. NESDIS 78, 22 pp. [Available from National Technical Information Service, U.S. Dept. of Commerce, Sills Bldg., 5285 Port Royal Road, Springfield, VA 22161.]
28. Shenk, W. E., R. J. Holub, and R. A. Neff, 1976: A multispectral cloud type identification method developed for tropical ocean areas with Nimbus-3 MRIR measurements. Mon. Wea. Rev., 104, 284-291.
29. Simpson, J., R. F. Adler, and G. R. North, 1988: A proposed Tropical Rainfall Measuring Mission (TRMM) satellite. Bull. Amer. Meteor. Soc., 69, 278-295.
30. Tian, L., and J. A. Curry, 1989: Cloud overlap statistics. J. Geophys. Res., 94, 9925-9935.
31. Tovinkere, V. R., M. Penaloza, A. Logar, J. Lee, R. C. Weger, T. A. Berendes, and R. M. Welch, 1993: An intercomparison of artificial intelligence approaches for polar scene identification. J. Geophys. Res., 98, 5001-5016.
32. Warren, S. G., C. J. Hahn, and J. London, 1985: Simultaneous occurrence of different cloud types. J. Climate Appl. Meteor., 24, 658-667.
33. Welch, R. M., S. K. Gupta, and K. S. Kuo, 1988: Marine stratocumulus cloud fields off the coast of southern California observed using LANDSAT imagery. Part II: Textural analysis. J Appl. Meteor., 27, 363-378.
34. _, M. S. Navar, and S. K. Sengupta, 1989: The effect of spatial resolution upon texture-based cloud field classifications. J. Geophys. Res., 94, 14767-14781.
35. _, K. S. Kuo, and S. K. Sengupta, 1990: Cloud and surface textural features in polar regions. IEEE Trans. Geosci. Remote Sens 28, 520-528.
36. _, S. K. Sengupta, A. K. Goroch, P. Rabindra, N. Rangaraj, and M. S. Navar, 1992: Polar cloud and surface classification using AVHRR imagery: An intercomparison of methods. J. Appl Meteor., 31, 405-420.
37. Weszka, J. S., C. R. Dyer, and A. Rosenfeld, 1976: A comparative study of texture measures for terrain classification. IEEE Trans Syst. Man. Cybern., SMC-6 (4), 2269-2285.
38. Wielicki, B. A., R. D. Cess, M. D. King, D. A. Randall, and E. F. Harrison, 1995: Mission to planet earth: role of clouds and radiation in climate. Bull. Amer. Meteor. Soc., 76, 2125-2153.