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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 23, Iss. 15 — Aug. 1, 1984
  • pp: 2620–2623

Recorded radiance indices for vegetation monitoring using NOAA AVHRR data; atmospheric and other effects in multitemporal data sets

Michael J. Duggin and Dana Piwinski  »View Author Affiliations


Applied Optics, Vol. 23, Issue 15, pp. 2620-2623 (1984)
http://dx.doi.org/10.1364/AO.23.002620


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Abstract

Work is reported in which a series of cloud-free portions of digital imagery obtained over the Great Plains area of the U.S.A. by the NOAA advanced very high resolution radiometer (AVHRR) throughout the crop growing season were examined in order to study date-dependent and scan-angle-dependent variations in recorded radiance in each sensor channel. Combinations of radiance recorded in different channels (vegetative indices; VINs) were also studied. The problem of atmospheric variation between acquisitions is discussed and some suggestions are made for work which may further improve cloud screening procedures and which may result in vegetation indices which are less affected by atmospheric effects.

© 1984 Optical Society of America

History
Original Manuscript: November 18, 1983
Published: August 1, 1984

Citation
Michael J. Duggin and Dana Piwinski, "Recorded radiance indices for vegetation monitoring using NOAA AVHRR data; atmospheric and other effects in multitemporal data sets," Appl. Opt. 23, 2620-2623 (1984)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-23-15-2620


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References

  1. K. B. Kidwell, NOAA Polar Orbiter Data (TIROS-N, NOAA-6, NOAA-7, and NOAA-8) Users Guide (NOAA, National Environmental Satellite, Data, and Information Service, National Climatic Data Center, Satellite Data Services Division, Washington, D.C., 1984).
  2. A. Schwalb, “The TIROS-N/NOAA A-G Satellite Series,” NOAA Tech. Memo. NESS 95, Washington, D.C. (1979), 75 pp.
  3. S. R. Schneider, D. F. McGuinnis, “The NOAA AVHRR: a New Satellite Sensor for Monitoring Crop Growth,” in Proceedings, Eighth Annual Symposium on Machine Processing of Remotely Sensed Data, West Lafayette, Ind., 7–9 July 1982, pp. 281–290.
  4. T. I. Gray, D. G. McCrary (1981), “Meteorological Satellite Data—a Tool to Describe the Health of the World’s Agriculture,” NASA Report JSC-17112/EW-NI-04042 (1981), 12 pp.
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  6. M. J. Duggin, D. Piwinski, V. Whitehead, G. Ryland, “Evaluation of NOAA-AVHRR Data for Crop Assessment,” Appl. Opt. 21, 1873 (1982). [CrossRef] [PubMed]
  7. C. C. Schnetzler (1981), “Effect of Sun and Sensor Geometry, Canopy Structure and Density, and Atmospheric Condition on the Spectral Response of Vegetation, with Particular Emphasis on Across-Track Pointing,” in Proceedings, Conference on Signatures Spectrales d’objets en teledetection, Avignon, 8–11 Sept. 1981, pp. 509–520.
  8. M. J. Duggin, L. Schoch, T. I. Gray, “Effect of Subpixel-Sized Cloud on Target Discrimination from Satellite Data,” Appl. Opt. 21, 2649 (1982). [CrossRef] [PubMed]
  9. M. J. Duggin, L. Schoch, T. Cunia, D. Piwinski, “Effects of Random and Systematic Variations in Unresolved Cloud on Recorded Radiance and on Target Discriminability,” Appl. Opt. 23, 387 (1984). [CrossRef] [PubMed]
  10. M. J. Duggin, “The Effect of Irradiation and Reflectance Variability on Vegetation Condition Assessment,” Int. J. Remote Sensing 4, 601 (1983). [CrossRef]
  11. D. Piwinski, M. J. Duggin, in preparation.
  12. G. Tappan, G. E. Miller, “Area Estimation of Environmental Phenomena from NOAA-n Satellite Data,” AgRISTARS Report EW-LI-04190, NASA Document JSC-17437 (1982), 12 pp.

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