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www.nonlin-processes-geophys.net/15/711/2008/
doi:10.5194/npg-15-711-2008
© Author(s) 2008. This work is distributed
under the Creative Commons Attribution 3.0 License.
Mapping soil fractal dimension in agricultural fields with GPR
1Centro de Geociencias, Querétaro, México
2King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
3CENAPROS, INIFAP, Morelia, México
4Dept. Edafología, Instituto de Geología, Universidad Nacional Autónoma de México (UNAM), México
5Colegio de Postgraduados, Montecillos, México
6President of Mexican Society of Mathematics, México
7Instituto de Geografia, Universidad Nacional Autónoma de México (UNAM), México
8Instituto Mexicano del Petroleo, México
Abstract. We documented that the mapping of the fractal dimension of the backscattered Ground Penetrating Radar traces (Fractal Dimension Mapping, FDM) accomplished over heterogeneous agricultural fields gives statistically sound combined information about the spatial distribution of Andosol' dielectric permittivity, volumetric and gravimetric water content, bulk density, and mechanical resistance under seven different management systems. The roughness of the recorded traces was measured in terms of a single number H, the Hurst exponent, which integrates the competitive effects of volumetric water content, pore topology and mechanical resistance in space and time. We showed the suitability to combine the GPR traces fractal analysis with routine geostatistics (kriging) in order to map the spatial variation of soil properties by nondestructive techniques and to quantify precisely the differences under contrasting tillage systems. Three experimental plots with zero tillage and 33, 66 and 100% of crop residues imprinted the highest roughness to GPR wiggle traces (mean HR/S=0.15), significantly different to Andosol under conventional tillage (HR/S=0.47).
Full Article (PDF, 2832 KB) Special Issue
Citation: Oleschko, K., Korvin, G., Muñoz, A., Velazquez, J., Miranda, M. E., Carreon, D., Flores, L., Martínez, M., Velásquez-Valle, M., Brambila, F., Parrot, J.-F., and Ronquillo, G.: Mapping soil fractal dimension in agricultural fields with GPR, Nonlin. Processes Geophys., 15, 711-725, doi:10.5194/npg-15-711-2008, 2008. Bibtex EndNote Reference Manager XML
