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Proceedings Paper

Soil characteristics estimation from multispectral and multipolarization radar remote-sensing data
Author(s): Gennady P. Kulemin; Andrei A. Kurekin; Vladimir V. Lukin; Alexander A. Zelensky
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Paper Abstract

Theoretical background of the multichannel (multifrequency and multipolarization) approach to radar remote sensing soil moisture and erosion state estimation is presented. Possible variants of radar data acquisition and their processing are discussed, they are based on preliminary experimental investigation results. The necessary operations of image-to-image and image-to-topology map superimposing as well as radar data preliminary filtering are considered. The results of remote sensing soil characteristic estimation using a multichannel airborne radar system are compared with in situ measurements, rather good accuracy of remote sensing estimates is proved.

Paper Details

Date Published: 19 January 1996
PDF: 12 pages
Proc. SPIE 2599, Three-Dimensional and Unconventional Imaging for Industrial Inspection and Metrology, (19 January 1996); doi: 10.1117/12.230400
Show Author Affiliations
Gennady P. Kulemin, Institute of Radiophysics and Electronics (Ukraine)
Andrei A. Kurekin, Kharkov Aviation Institute (Ukraine)
Vladimir V. Lukin, Kharkov Aviation Institute (Ukraine)
Alexander A. Zelensky, Kharkov Aviation Institute (Ukraine)

Published in SPIE Proceedings Vol. 2599:
Three-Dimensional and Unconventional Imaging for Industrial Inspection and Metrology
Michael R. Descour; Kevin G. Harding; Donald J. Svetkoff, Editor(s)

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