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| Titel |
Mapping soil fractal dimension in agricultural fields with GPR |
| VerfasserIn |
K. Oleschko, G. Korvin, A. Muñoz, J. Velazquez, M. E. Miranda, D. Carreon, L. Flores, M. Martinez, M. Velásquez-Valle, F. Brambila, J.-F. Parrot, G. Ronquillo |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 15, no. 5 ; Nr. 15, no. 5 (2008-09-03), S.711-725 |
| Datensatznummer |
250012758
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| Publikation (Nr.) |
 copernicus.org/npg-15-711-2008.pdf |
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| Zusammenfassung |
| 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). |
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