Shadow analysis: A method for measuring soil surface roughness

Erosion potential and the effects of tillage can be evaluated from quantitative descriptions of soil surface roughness. The present study therefore aimed to fill the need for a reliable, low-cost and convenient method to measure that parameter. Based on the interpretation of micro-topographic shadows, this new procedure is primarily designed for use in the field after tillage. The principle underlying shadow analysis is the direct relationship between soil surface roughness and the shadows cast by soil structures under fixed sunlight conditions. The results obtained with this method were compared to the statistical indexes used to interpret field readings recorded by a pin meter. The tests were conducted on 4-m2 sandy loam and sandy clay loam plots divided into 1-m2 subplots tilled with three different tools: chisel, tiller and roller. The highly significant correlation between the statistical indexes and shadow analysis results obtained in the laboratory as well as in the field for all the soil–tool combinations proved that both variability (CV) and dispersion (SD) are accommodated by the new method. This procedure simplifies the interpretation of soil surface roughness and shortens the time involved in field operations by a factor ranging from 12 to 20

Multifractal Analysis of 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 2-cm2 grid in a 200- by 200-cm2 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

Anales de Edafología y Agrobiología Tomo 47 Número 3-4

Suelos. Física. Resistencia del suelo y susceptibilidad a la compactación en terrenos a monte sometidos a pastoreo. Por R. Pérez Moreira y F. Diaz-Fierros Viqueira.-- La reserva de agua útil de los suelos de Galicia. l. Relación con la textura y el contenido de materia orgánica. Por A. M. Martinez Cortizas.-- Química Empleo de aminas alifáticas en el estudio de asociaciones haloisita-esmectita en suelos. Por F. J. Aragoneses, J. Casas, y J. L. Martin de Vidales.-- Quelación por EDDHA de micronutrientes en suelos calizos. Ecuación de límite máximo. Por M. Juárez, J. Sánchez-Andréu, L. Pla y J. Jorda.-- Quelación por EDDHA de micronutrientes en suelos calizos. Ecuación de orden "n ".Por J. Sánchez-Andréu, M. Juarez, L. Pla y J. Jordá.-- Génesis, Clasificación y Cartografía Caracterización de un podsol ferro - húmico en el Puerto de la Quesera (Sierra del Ayllón). Por R. Espejo Serrano, F. Guerrero López y A. Saa Requejo.-- Natrixerales en el Baix Segre (Lleida). Por J. Bech i Borrás, J. Garrigo i Reixach y J. R. Torrento i Marselles.-- Aspectos micromorfológicos del horizonte superior en suelos artificiales (Sorribas) de las Islas Canarias. Por A. Rodríguez Rodríguez y J. M. Ontañón Sánchez.-- Fertilidad Influencia de diferentes factores del suelo sobre su contenido en microelementos asimilables: Mn, Fe, Cu y Zn. Por B. C. Ortega, Ma C. Ortega y J. G. de las Heras.--Incidencia de la salinidad del agua de riego en la mineralización del nitrógeno orgánico en suelos calizos del sureste español. Por J. García-Serna, J. Sánchez Andréu, M. Juárez y J. Mataix.-- Biología Vegetal-Fisiología Efectos de la toxicidad del flúor sobre el ciclo biológico en especies herbáceas dicotiledoneas. Por M. Ibarra, F. López Belmonte y Ma A. Diez.-- Efectos de la toxicidad del flúor sobre el ciclo biológico de especies de monocotiledoneas. Por M. Ibarra, F. López-Belmonte y Mª A . Diez.-- Proteasas ácidas en uvas Vitis vinifera (variedad Macabeo). l. Actividad proteásica durante su maduración. Por J. Marín Expósito, C. Miguel Gordillo, J. l. Maynar Mariño y J. L. Mesias Iglesias.-- Agro biología Efectos de enmiendas calcáreas en suelos fijadores de fósforo. Por S. G. Ramos Hernández y N. Aguilera Herrera.-- III. Trabajo Recapitulativo. Una deriva hacia hemiparasftismo de los líquenes epifitos: Análisis fisiológico de las relaciones con sus fitoforos. Por C. VicentePeer reviewed2019-08.- CopyBook.- Libnova.- Biblioteca IC

Statistical analysis for satellite-index-based insurance to define damaged pasture thresholds

Vegetation indices based on satellite images, such as the normalized difference vegetation index (NDVI), have been used in countries like the USA, Canada and Spain for damaged pasture and forage insurance over the last few years. This type of agricultural insurance is called satellite-index-based insurance (SIBI). In SIBI, the occurrence of damage is defined as normal distributions. In this work a pasture area at the north of the Community of Madrid (Spain) has been delimited by means of Moderate Resolution Imaging Spectroradiometer (MODIS) images. A statistical analysis of NDVI histograms was applied to seek for alternative distributions using the maximum likelihood method and 2 test. The results show that the normal distribution is not the optimal representation and the generalized extreme value (GEV) distribution presents a better fit through the year based on a quality estimator. A comparison between normal and GEV is shown with respect to the probability under a NDVI threshold value throughout the year. This suggests that an a priori distribution should not be selected and a percentile methodology should be used to define a NDVI damage threshold rather than the average and standard deviation, typically of normal distributions. © 2019 Author(s)

Variation in spectral and mass dimension on three-dimensional soil image processing

A quantitative characterization of the three-dimensional soil pore architecture is important for understanding soil processes as it relates to the control of biological, chemical, and physical processes across scales. Recent advances in nondestructive imaging, such as X-ray computed tomography (CT), provide an opportunity to analyze pore space features from direct visualization of soil structure. At the same time that these techniques provide new opportunities, they also introduce new processing steps on which the final results depend. Fractal formalism has been shown to be a useful tool in cases where highly complex and heterogeneous media are studied. One of these quantifications is mass dimension (Dm) and spectral dimension (d) applied for water and gas diffusion in soil. In this work, intact soil samples were collected from four horizons of a Brazilian soil, and three-dimensional images, of 45.1-Km resolution (256 x 256 x 256 voxels), were obtained. Four different threshold criteria were used to transform CT grayscale imagery in binary imagery (pore/solid), based on the frequency of CT units. We calculated the sensitivity of a geometrical parameter (the mass fractal dimension, Dm), a topological parameter (the spectral dimension, d), and the ratio of the two (Dm), which relates to the scaling property of dynamic processes in soil such as diffusion. Each threshold criterion had a direct influence on the measured porosity and on the value of Dm, showing a clear logarithmic increase in Dm with porosity. Meanwhile, d increased faster, that is, linearly with measured porosity. In all cases, the detailed dependence on porosity was different for each horizon. In contrast, the ratio for each horizon was less sensitive to the thresholding criteria applied to the image. Thus, the results based on our soil samples suggest that thresholding has a strong influence on parameters that relate to geometrical and topological properties of structure but may have a less important

Assessing soil surface roughness decay during simulated rainfall by multifractal analysis

Understanding and describing the spatial characteristics of soil surface microrelief are required for modelling overland flow and erosion. We employed the multifractal approach to characterize topographical point elevation data sets acquired by high resolution laser scanning for assessing the effect of simulated rainfall on microrelief decay. Three soil surfaces with different initial states or composition and rather smooth were prepared on microplots and subjected to successive events of simulated rainfall. Soil roughness was measured on a 2×2 mm2 grid, initially, i.e. before rain, and after each simulated storm, yielding a total of thirteen data sets for three rainfall sequences. The vertical microrelief component as described by the statistical index random roughness (RR) exhibited minor changes under rainfall in two out of three study cases, which was due to the imposed wet initial state constraining aggregate breakdown. The effect of cumulative rainfall on microrelief decay was also assessed by multifractal analysis performed with the box-count algorithm. Generalized dimension, Dq, spectra allowed characterization of the spatial variation of soil surface microrelief measured at the microplot scale. These D q spectra were also sensitive to temporal changes in soil surface microrelief, so that in all the three study rain sequences, the initial soil surface and the surfaces disturbed by successive storms displayed great differences in their degree of multifractality. Therefore, Multifractal parameters best discriminate between successive soil stages under a given rain sequence. Decline of RR and multifractal parameters showed little or no association