Share Email Print

Proceedings Paper

Estimating magnetic susceptible from EMI data
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Studies have showed that magnetically susceptible soils significantly affect on the EMI sensors performances, which in return reduce the sensors discrimination capabilities. In order to improve EMI sensors detection and discrimination performances first soil's magnetic susceptibility needs to be estimated, and then the soils EMI responses have to be taken into account during geophysical data inversion procedure. Until now the soil's magnetic susceptibility is determined using a tiny amount (up to 15 mg) of soil's probe. This approach in many cases does not represent effective magnetic susceptibility that affects on the EMI sensors performances. This paper presents an approach for estimating soil's magnetic susceptibility from low frequency electromagnetic induction data and it is designed namely for the GeoPhex frequency domain GEM-3 sensor. In addition, a numerical code called the method auxiliary sources (MAS) is employed for establishing relation between magnetically susceptible soil's surface statistics and EMI scattered field. Using the MAS code EMI scatterings are studied for magnetically susceptible soils with two types of surfaces: body of revolution (BOR) and 3D rough surface. To demonstrate applicability of the technique first the magnetic susceptibility is inverted from frequency domain data that were collected at Cold Regions Research and Engineering Laboratory's test-stand site. Then, several numerical results are presented to demonstrate the relation between surface roughness statistic and EMI scattered fields.

Paper Details

Date Published: 7 May 2007
PDF: 10 pages
Proc. SPIE 6553, Detection and Remediation Technologies for Mines and Minelike Targets XII, 655308 (7 May 2007); doi: 10.1117/12.720034
Show Author Affiliations
I. Shamatava, Dartmouth College (United States)
B. E. Barrowes, U.S. Army Engineer Research and Development Ctr. (United States)
F. Shubitidze, Dartmouth College (United States)
B. Zhang, Massachusetts Institute of Technology (United States)
K. O'Neill, Dartmouth College (United States)
U.S. Army Engineer Research and Development Ctr. (United States)
P. Fernández, Dartmouth College (United States)
K. D. Paulsen, Dartmouth College (United States)

Published in SPIE Proceedings Vol. 6553:
Detection and Remediation Technologies for Mines and Minelike Targets XII
Russell S. Harmon; J. Thomas Broach; John H. Holloway Jr., Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?