Soil characteristics estimation from multispectral and multipolarization radar remote-sensing data

Gennady P. Kulemin; Andrei A. Kurekin; Vladimir V. Lukin; Alexander A. Zelensky

doi:10.1117/12.230400

19 January 1996 Soil characteristics estimation from multispectral and multipolarization radar remote sensing data

Gennady P. Kulemin, Andrei A. Kurekin, Vladimir V. Lukin, Alexander A. Zelensky

Proceedings Volume 2599, Three-Dimensional and Unconventional Imaging for Industrial Inspection and Metrology; (1996) https://doi.org/10.1117/12.230400
Event: Photonics East '95, 1995, Philadelphia, PA, United States

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.

Citation Download Citation

Gennady P. Kulemin, Andrei A. Kurekin, Vladimir V. Lukin, and Alexander A. Zelensky "Soil characteristics estimation from multispectral and multipolarization radar remote sensing data", Proc. SPIE 2599, Three-Dimensional and Unconventional Imaging for Industrial Inspection and Metrology, (19 January 1996); https://doi.org/10.1117/12.230400

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