Analysis of the dynamics of soil infiltrability of agricultural soils from continuous rainfall-runoff measurements on small plots

Léonard, Joël; Ancelin, O.; Ludwig, Bruno; Richard, Guy

doi:10.1016/j.jhydrol.2005.10.026

Cited by 33 publications

(23 citation statements)

References 21 publications

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“…Local measurements have demonstrated the influence of SSC on hydrodynamic properties and soil detachment (Cerdan et al, 2002a). Microscale investigations, such as plot studies, have shown how patterns of SSC have a very strong influence on soil hydraulic properties, particle detachment, infiltration patterns, connectivity of runoff, distribution of flow velocities, and therefore the initiation of rilling (Loch, 1994;Dimanche and Hoogmoed, 2002;Leonard et al, 2006). Very simple SSC indicators based on vegetation cover, crusting and surface roughness appear to be the best indicators to explain the variability of the rill erosion rate between small catchment areas (Auzet et al, 1993) and are efficient for runoff and rill erosion modelling whether at this scale (Ludwig et al, 1995;Cerdan et al, 2002bCerdan et al, , 2002c or at a regional scale (Le Bissonnais et al, 2002Bissonnais et al, , 2005.…”

Section: Soil Surface Characteristics and Overland Flow And Soil Erosmentioning

confidence: 99%

Operational performance of current synthetic aperture radar sensors in mapping soil surface characteristics in agricultural environments: application to hydrological and erosion modelling

Baghdadi

Cerdan

Zribi

et al. 2007

Hydrological Processes

135

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Abstract:Synthetic aperture radar (SAR) sensors are often used to characterize the surface of bare soils in agricultural environments. They enable the soil moisture and roughness to be estimated with constraints linked to the configurations of the sensors (polarization, incidence angle and radar wavelength). These key soil characteristics are necessary for different applications, such as hydrology and risk prediction.This article reviews the potential of currently operational SAR sensors and those planned for the near future to characterize soil surface as a function of users' needs. It details what it is possible to achieve in terms of mapping soil moisture and roughness by specifying optimal radar configurations and the precision associated with the estimation of soil surface characteristics.The summary carried out for the present article shows that mapping soil moisture is optimal with SAR sensors at low incidence angles (<35°). This configuration, which enables an estimated moisture accuracy greater than 6% is possible several times a month taking into account all the current and future sensors. Concerning soil roughness, it is best mapped using three classes (smooth, moderately rough, and rough). Such mapping requires high-incidence data, which is possible with certain current sensors (RADARSAT-1 and ASAR both in band C). When L-band sensors (ALOS) become available, this mapping accuracy should improve because the sensitivity of the radar signal to Soil Surface Characteristics (SSC) increases with wavelength. Finally, the polarimetric mode of certain imminent sensors (ALOS, RADARSAT-2, TerraSAR-X, etc.), and the possibility of acquiring data at very high spatial resolution (metre scale), offer great potential in terms of improving the quality of SSC mapping.

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Section: Soil Surface Characteristics and Overland Flow And Soil Erosmentioning

confidence: 99%

Operational performance of current synthetic aperture radar sensors in mapping soil surface characteristics in agricultural environments: application to hydrological and erosion modelling

Baghdadi

Cerdan

Zribi

et al. 2007

Hydrological Processes

135

View full text Add to dashboard Cite

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“…At very small scale (1 m 2 ), SSC spatial variability controls runoff connectivity. Based on Leonard et al (2006) study, we thought that mulched patches may constitute preferential infiltration areas. Authors work on runoff data of small plots (2 m 2 ) in conventional tillage context under natural rainfall.…”

Section: Discussionmentioning

confidence: 99%

“…For instance, it protects soil against mechanical degradation by rain. This strongly reduces runoff generation which is admitted to become significant when crust cover exceeds 50% of the experimental plot; corresponding to a general connection between crusted patches (Leonard et al, 2006).…”

Section: Crust Cover Variabilitymentioning

confidence: 99%

Runoff generation related to intra-field soil surface characteristics variabilityApplication to conservation tillage context

Armand

Bockstaller²,

Auzet

et al. 2009

Soil and Tillage Research

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“…Real time flow rate and water stage estimates can be computed by deploying sensors in such flumes, whereas overland flow rate can be automatically recorded by using tipping buckets (Johnson et al, 1996;Fiener and Auerswald, 2005;Léonard et al, 2006;Laloy and Bielders, 2008;Ghahramani et al, 2011). Erosion and runoff experimental studies are also conducted through physical sampling of overland flow water in tapped containers after precipitation events (Mathys et al, 2005;Armand et al, 2009;Patin et al, 2012).…”

Section: Published By Copernicus Publications On Behalf Of the Europementioning

confidence: 99%

Fluorescent particle tracers in surface hydrology: a proof of concept in a semi-natural hillslope

Tauro

Grimaldi

Petroselli

et al. 2012

Hydrol. Earth Syst. Sci.

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Abstract. In this paper, a proof of concept experiment is conducted to assess the feasibility of tracing overland flow on an experimental hillslope plot via a novel fluorescent particle tracer. Experiments are performed by using beads of diameters ranging from 75 to 1180 µm. Particles are sensed through an experimental apparatus comprising a light source and a video acquisition unit. Runoff on the experimental plot is artificially simulated by using a custom-built rainfall system. Particle transits are detected through supervised methodologies requiring the presence of operators and unsupervised procedures based on image analysis techniques. Average flow velocity estimations are executed based on travel time measurements of the particles as they are dragged by the overland flow on the hillslope. Velocities are compared to flow measurements obtained using rhodamine dye. Experimental findings demonstrate the potential of the methodology for understanding overland flow dynamics in complex natural settings. In addition, insights on the optimization of particle size are presented based on the visibility of the beads and their accuracy in flow tracing.

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Analysis of the dynamics of soil infiltrability of agricultural soils from continuous rainfall-runoff measurements on small plots

Cited by 33 publications

References 21 publications

Operational performance of current synthetic aperture radar sensors in mapping soil surface characteristics in agricultural environments: application to hydrological and erosion modelling

Operational performance of current synthetic aperture radar sensors in mapping soil surface characteristics in agricultural environments: application to hydrological and erosion modelling

Runoff generation related to intra-field soil surface characteristics variabilityApplication to conservation tillage context

Fluorescent particle tracers in surface hydrology: a proof of concept in a semi-natural hillslope

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