2510
23
2513
5
27151
document
2513
INVE_MEM_2008_56620.pdf
application/pdf
1253541
20140922 10:05:23
http://oa.upm.es/2510/2/INVE_MEM_2008_56620.pdf
2510
2
application/pdf
application/pdf
en
public
INVE_MEM_2008_56620.pdf
archive
1903
disk0/00/00/25/10
20100309 12:04:36
20160420 12:11:12
20100311 12:54:15
article
show
0

GarcĂa Moreno
Rosario

Diaz Alvarez
Maria Cruz

Saa Requejo
Antonio

Tarquis Alfonso
Ana Maria
Multifractal Analysis of Soil Surface Roughness
Soil Science Society of America
byncnd
pub
 agricultura
public
GB, gliding box algorithm; MFA, multifractal analysis; MFS, multifractal spectrum; RD, random data set; SMV, semivariogram; SSR, soil surface roughness.
Soil surface roughness (SSR) is a parameter highly suited to the study of soil susceptibility to wind and water erosion. The development of a methodology for quantifying SSR is therefore instrumental to soil evaluation. We developed such a method, based on the multifractal analysis (MFA) of soil elevation measurements collected at the intersections on a 2 by 2cm2 grid in a 200 by 200cm2 plot. Samples were defined using the gliding box algorithm (GB), in which a box of a given size "glides" across the grid map in all possible directions. The advantage of the GB over the box counting algorithm is that it yields a greater number of large sample sizes, which usually leads to better statistical results. Standard deviation, semivariogram fractal dimension, and semivariogram crossover length were estimated for all scenarios to compare the results of SSR multifractal analysis to indices found with traditional techniques. For its high sensitivity to the spatial arrangement implicit in a data set, MFA appears to be better suited than classical indices to compare plots tilled under different management criteria. The results showed that MFA is able to effectively reflect the heterogeneity and complexity of agricultural SSR. Based on this type of analysis, two new indices have been defined to compare the multifractal spectrum characteristics of the raw data to the characteristics of a random field with the same average and SD.
published
200805
Vadose Zone Journal
7
2
512520
10.2136/vzj2007.0016
Agronomos
Edafologia
TRUE
15391663
http://intlvzj.scijournals.org