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Proceedings Paper

Improving the analysis of Hyperion red-edge index from an agricultural area
Author(s): David L. B. Jupp; Bisun Datt; Tim R. McVicar; Tom G. Van Niel; Jay S. Pearlman; Jenny L. Lovell; Edward A. King
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Paper Abstract

The benefits of EO-1 data, and especially Hyperion hyperspectral data, are being studied at sites in the Coleambally Irrigation Area of Australia where a seasonal time series has been developed. Hyperion can provide effective measures of agricultural performance through the use of spectral indices if systematic and random noise is managed and such noise management methods have been established for Coleambally. Among the sources of noise specific to Hyperion is the spectral “smile” which affects the location of the red-edge -- an important index in agricultural assessment. We show how this phenomenon, which arises from the pushbroom technology of Hyperion, affects the data and discuss how its effects can be overcome to provide stable and accurate measures of the red-edge and related indices. HyMap airborne data are used to evaluate the results of the methods studied. This paper also shows how future pushbroom instruments should consider the wavelength sampling step in their design if it is intended to remove the “smile” effects by a systematic software processing.

Paper Details

Date Published: 11 June 2003
PDF: 15 pages
Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003); doi: 10.1117/12.472696
Show Author Affiliations
David L. B. Jupp, CSIRO Earth Observation Ctr. (Australia)
Bisun Datt, CSIRO Earth Observation Ctr. (Australia)
Tim R. McVicar, CSIRO Land and Water (Australia)
Tom G. Van Niel, CSIRO Land and Water (Australia)
Jay S. Pearlman, The Boeing Co. (United States)
Jenny L. Lovell, CSIRO Earth Observation Ctr. (Australia)
Edward A. King, CSIRO Earth Observation Ctr. (Australia)

Published in SPIE Proceedings Vol. 4898:
Image Processing and Pattern Recognition in Remote Sensing
Stephen G. Ungar; Shiyi Mao; Yoshifumi Yasuoka, Editor(s)

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