DocumentCode
1345209
Title
Condition for precise measurement of soil surface roughness
Author
Oh, Yisok ; Kay, Young Chul
Author_Institution
Sch. of Electron. & Electr. Eng., Hong Ik Univ., Seoul, South Korea
Volume
36
Issue
2
fYear
1998
fDate
3/1/1998 12:00:00 AM
Firstpage
691
Lastpage
695
Abstract
Whereas it is well known that electromagnetic scattering by a randomly rough surface is strongly influenced by the surface-height correlation function, it is not clear as to how long a surface-height profile is needed and at what interval it should be sampled to experimentally quantify the correlation function of a real surface. This paper presents the results of a Monte Carlo simulation conducted to answer these questions. It was determined that, in order to measure the rms height and the correlation length with a precision of ±10%, the surface segment should be at least 40l¯ long and 200l¯ long, respectively, where l¯ is the mean (or true) value of the surface correlation length. Shorter segment lengths can be used if multiple segments are measured and then the estimated values are averaged. The second part of the study focused on the relationship between sampling interval and measurement precision. It was found that, in order to estimate the surface roughness parameters with a precision of ±5%, it is necessary that the surface be sampled at a spacing no longer than 0.2 of the correlation length
Keywords
geophysical techniques; hydrological techniques; moisture measurement; radiometry; remote sensing by radar; soil; Monte Carlo simulation; backscatter; correlation length; geophysical measurement technique; hydrology; land surface; microwave radiometry; precise measurement; radar remote sensing; radar scattering; radar theory; remote sensing; rough surface; sampling length; soil moisture; soil surface roughness; surface-height profile; terrain mapping; water content; Backscatter; Electromagnetic measurements; Electromagnetic scattering; Length measurement; Radar scattering; Rough surfaces; Sampling methods; Soil measurements; Soil moisture; Surface roughness;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.662751
Filename
662751
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