Detection of important atmospheric and surface features by employing principal component image transformation of GOES imagery

Journal of Applied Meteorology

Volumn 42, Issue 5, 2003, Pages 611-629

  Hillger, Donald W ^a   Ellrod, Gary P ^b  

^a Department of Environmental and Radiological Health Sciences   (United States)

^b OFFICE OF RESEARCH AND APPLICATIONS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DUST; EIGENVALUES AND EIGENFUNCTIONS; GEOSTATIONARY SATELLITES; IMAGING TECHNIQUES; MATHEMATICAL TRANSFORMATIONS; REMOTE SENSING; WEATHER SATELLITES;

PRINCIPAL COMPONENT IMAGE (PCI) TECHNIQUES;

METEOROLOGY;

DUST; FIRE; GOES; SATELLITE IMAGERY; SMOKE;

EID: 0038169999     PISSN: 08948763     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0450(2003)042<0611:DOIAAS>2.0.CO;2     Document Type: Article

References (27)

1. Arking, A., and J. D. Childs, 1985: Retrieval of cloud cover parameters from multispectral satellite images. J. Climate Appl. Meteor., 24, 322-333.
2. Dills, P. A., D. W. Hillger, and J. F. W. Purdom, 1996: Distinguishing between different meteorological phenomena and land surface properties using the multispectral imaging capabilities of GOES-8. Preprints, Eighth Conf. on Satellite Meteorology and Oceanography, Atlanta, GA, Amer. Meteor. Soc., 339-342.
3. Ellrod, G. P., 1994: Detection and analysis of fog at night using GOES multispectral infrared imagery. NOAA Tech. Rep. NESDIS 75, 22 pp.
4. Ellrod, G. P., 1995: Use of the GOES-8 "split window" infrared channels in the monitoring of low level moisture and African dust. Preprints, 21st Conf. on Hurricanes and Tropical Meteorology, Miami, FL, Amer. Meteor. Soc., 634-636.
5. Fraser, R. S., 1976: Satellite measurement of mass of Sahara dust in the atmosphere. Appl. Opt., 15, 2471-2479.
6. Gauch, H. G., Jr., 1993: Prediction, parsimony, and noise. Amer. Sci., 81, 468-478.
7. Hillger, D. W., 1996a: Meteorological features from principal component image transformation of GOES imagery. Proc. Int. Symp. on Optical Science, Engineering, and Instrumentation (GOES-8 and Beyond Conf.), Denver, CO, SPIE, 111-121.
8. Hillger, D. W., 1996b: Meteorological analysis using principal component image transformation of GOES imagery, International Radiation Symposium-IRS '96: Current Problems in Atmospheric Radiation, W. L. Smith and K. Stamnes, Eds., A. Deepak, 480-483.
9. Hillger, D. W., 1999: GOES imager and sounder calibration, scaling, and image quality. NOAA Tech. Rep. NESDIS 93, 34 pp.
10. Hillger, D. W., and T. H. Vonder Haar, 1988: Estimating noise levels of remotely sensed measurements from satellites using spatial structure analysis, J. Atmos. Oceanic Technol., 5, 206-214.
11. Hillger, D. W., and P. J. Celone, 1997: A GOES image quality analysis system for the NOAA/NESDIS Satellite Operations Control Center. NOAA Tech. Rep. NESDIS 89, 32 pp.
12. Hillger, D. W., and G. P. Ellrod, 2000: Detection of unusual atmospheric and surface features by employing principal component image transformation of GOES imagery. Preprints, 10th Conf. on Satellite Meteorology and Oceanography, Long Beach, CA, Amer. Meteor. Soc., 461-464.
13. Hillger, D. W., and J. Clark, 2002a: Principal component image analysis of MODIS for volcanic ash. Part 1: Most important bands and implications for future GOES imagers. J. Appl. Meteor., 41, 985-1001.
14. Hillger, D. W., and J. Clark, 2002b: Principal component image analysis of MODIS for volcanic ash. Part 2: Simulations of current GOES and GOES-M imagers. J. Appl. Meteor., 41, 1003-1010.
15. Holt, F. C., and S. R. Olson, 1999: GOES Products and Services Catalog, 2d ed. U.S. Department of Commerce, NOAA/NESDIS, 152 pp.
16. Lee, J. A., and V. P. Tchakerian, 1995: Magnitude and frequency of blowing dust on the southern High Plains of the United States. Ann. Assoc. Amer. Geogr., 85, 684-693.
17. Loughlin, W. P., 1991: Principal component analysis for alteration mapping. Photogr. Eng. Remote Sens., 57, 1163-1169.
18. Madura, D. P., J. M. Soha, W. B. Green, D. B. Wherry, and S. D. Lewis, 1978: Color enhancement of Landsat agricultural imagery. Jet Propulsion Laboratory Publ. 78-102, 68 pp.
19. Matson, M., and J. Dozier, 1981: Identification of subresolution high temperature sources using a thermal IR sensor. Photogr. Eng. Remote Sens., 47, 1311-1318.
20. Menzel, W. P., and J. F. W. Purdom, 1994: Introducing GOES-I: The first of a new generation of geostationary operational environmental satellites. Bull. Amer. Meteor. Soc., 75, 757-781.
21. Molenar, D. A., K. J. Schrab, and J. F. W. Purdom, 2000: RAMSDIS contributions to NOAA satellite data utilization. Bull. Amer. Meteor. Soc., 81, 1019-1030.
22. Morrison, D. F., 1976: Multivariate Statistical Methods. McGraw-Hill, 415 pp.
23. Pollard, M. C., 1978: Guidelines for forecasting dust storms in the southern Great Plains. Natl. Wea. Dig., 3, 40-44.
24. Preisendorfer, R. W., 1988: Principal Component Analysis in Meteorology and Oceanography. Elsevier, 425 pp.
25. Takashima, T., and K. Masuda, 1987: Emissivities of quartz and Sahara dust powders in the infrared region (7-17 μm). Remote Sens. Environ., 23, 51-63.
26. Taylor, M. M., 1973: Principal components colour display of ERTS imagery. Proc. Third Earth Resources Technology Satellite Symp., 1877-1897.
27. Weinreb, M. P., M. Jamison, N. Fulton, Y. Chen, J. X. Johnson, J. Bremer, C. Smith, and J. Baucom, 1997: Operational calibration of Geostationary Operational Environmental Satellite-8 and -9 imagers and sounders. Appl. Opt., 36, 6895-6904.