Using digital elevation models and image processing to follow clo | 40812
Journal of Geology & Geophysics

Journal of Geology & Geophysics
Open Access

ISSN: 2381-8719

+44 7868 792050

Using digital elevation models and image processing to follow clod evolution under rainfall

Annual Congress on Soil Sciences

December 04-05, 2017 | Madrid, Spain

Edwige Vannier, Odile Taconet, Richard Dusseaux and Frederic Darboux

LATMOS, France
UVSQ, France
INRA, France

Scientific Tracks Abstracts: J Geol Geophys

Abstract :

Statement of the Problem: Analysis of soil roughness is a key point in soil sciences for soil preparation as well as for impact studies on overland flow and erosion. Soil roughness changes with time, because of tillage and rainfall. Roughness is usually estimated by various indices, computed on measured profiles or images of elevations. Another approach is focusing on soil clodiness, either by sieving or by image segmentation. The purpose of this study is to follow the evolution of clods under rainfall with digital elevation model (DEM) recording and image processing. Methodology & Theoretical Orientation: artificial soil surfaces were made in the laboratory with silt loam soil topped by presieved clods. They were then subjected to controlled artificial rainfalls, and DEM were recorded at each stage of the surfaces. We performed automatic clod segmentation and measurement of the volume of individual cloud. Findings: The clods of diameter superior to 12 mm show swelling (volume increase) and erosion (volume decrease), with cumulated rainfall. These two phenomena seem to be size dependent. When modeling volume decrease by an exponential function, the slope parameter shows a hyperbolic behavior, as a function of a mean volume of the clod subset. Conclusion & Significance: Monitoring of clod volume with cumulated precipitation with the help of DEM measurements can differentiate the dynamics of clod depending on their size. These techniques improve the usual roughness description and allow for a better understanding of the processes. Recent Publications 1. Bauer T, Strauss P, Grims M, Kamptner E, Mansberger R and Spiegel H (2015) Long-term agricultural management effects on surface roughness and consolidation of soils. Soil and Tillage Research 151:28-38. 2. Chimi-Chiadjeu O, Le Hegarat-Mascle S, Vannier E, Taconet O and Dusseaux R (2014) Automatic clod detection and boundary estimation from digital elevation model images using different approaches. Catena 118:73-83. 3. De Oro L A and Buschiazzo D E (2011) Degradation of the soil surface roughness by rainfall in two loess soils. Geoderma 164:46-53. 4. Taconet O, Vannier E and Le Hegarat-Mascle S (2010) A contour-based approach for clods identification and characterization on a soil surface. Soil and Tillage Research 109:123-132. 5. Vannier E, Ciarletti V and Darboux F (2009) Wavelet-based detection of clods on soil surfaces. Computers and Geoscience 35: 2259-2267.

Biography :

Edwige Vannier has her expertise in Data Analysis and Processing and her interest in Soil Science. Her research focuses on soil surface roughness characterization and modeling. She graduated from the Ecole Nationale Superieur de l’Electronique et de ses Applications, France in 1997. She received her PhD degree in Biomedical Engineering from the University of Paris-Est Creteil in 2001. From 2003, she is an Assistant Professor at the University of Versailles-St Quentin.