DocumentCode :
1245644
Title :
A modeling study of backscattering from soil surfaces
Author :
Li, Zhi-Jian ; Fung, Adrian K. ; Tjuatja, Saibun ; Gibbs, Daniel P. ; Betty, Christopher L. ; Irons, James R.
Author_Institution :
Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA
Volume :
34
Issue :
1
fYear :
1996
fDate :
1/1/1996 12:00:00 AM
Firstpage :
264
Lastpage :
271
Abstract :
An examination of soil particles from very fine to medium sand surfaces has indicated that they are generally on the order of 50 to 500 μm. Thus, at an incident wavelength around 0.6 μm, the incident light should “see” microscopic roughness features on the particle rather than its microscopic features. It is anticipated that the macroscopic features of a soil particle are responsible for the shadowing and tilting. Note that these smaller scales of roughness may-still be larger than the incident wavelength. In view of this physical structure, a soil particle is modeled as a layer with two arbitrarily oriented surface boundaries to simulate the overall roughness effect. A scattering phase function is then developed for this layer by considering wave scattering from and propagating through it. A probability distribution function for the orientation of the layer boundaries is assumed for the calculation of this phase function. After the phase function is developed, it is incorporated into a matrix doubling algorithm calculate the backscattering coefficients for a half space of soil particles. Preliminary results indicate that backscattering is dominated by the small scales of roughness riding on the particle, and those large scales of roughness are responsible for tilting and shadowing
Keywords :
backscatter; geophysical techniques; light scattering; remote sensing; soil; S-matrix; backscatter; backscattering; geophysical measurement technique; land surface; light reflection; macroscopic features; matrix doubling algorithm; microscopic roughness features; model; optical imaging; probability distribution function; remote sensing; scattering; scattering matrix; scattering phase function; shadowing; soil; soil particle; soil surface; terrain mapping; tilting; Backscatter; Large-scale systems; Light scattering; Microscopy; Particle scattering; Probability distribution; Rough surfaces; Shadow mapping; Soil; Surface roughness;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.481911
Filename :
481911
Link To Document :
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