Heydari, Mehdi Prévosto, Bernard Naji, Hamid Reza Mehrabi, Ali Ashraf Pothier, David
Published in
European Journal of Forest Research
In seasonally dry environments such as the Zagros woodlands (Iran), severe drought stress and lack of appropriate management practices can cause failure of oak afforestation or reforestation. We investigated the effect of soil properties and burial depth on Persian oak (Quercus brantii Lindl.) establishment in different microhabitats resulting from...
Adeline, K.R.M. Gomez, C. Gorretta, N. Roger, J.M.
Laboratory Visible-Near Infrared (Vis-NIR) spectroscopy is a good alternative to costly physical and chemical soil analysis to estimate a wide range of soil properties. Various statistical methods relate soil Vis-NIR spectra to soil properties including partial least-squares regression (PLSR), the most common multivariate statistical technique in s...
Petitjean, A. Forquet, N. Choubert, J.M. Coquery, M Bouyer, M. Boutin, C.
Buffer zones between wastewater treatment plants and receiving water bodies have recently gained interest in France. These soil-based constructed wetland (SBCW) systems receive treated wastewater and may have various designs aiming to mimic 'natural' wetlands. Research is needed to assess the treatment efficiency of such systems.To this aim, a comp...
Gomgnimbou, A.P.K. Nacro Hassan, B. Sanon, A. Sedogo, P.M. Martinez, J.
The use of organic waste as fertilizers in the urban and peri-urban agriculture can contribute to maintain soil fertility and solve food security. This study was done to evaluate the effect of the manure (pig and cattle) on the chemical parameters of the soils in Bobo-Dioulasso area. With that aim in mind, eight (8) farms where the animal waste is ...
Vannier, O. Braud, I. Anquetin, S.
The estimation of catchment-scale soil properties, such as water storage capacity and hydraulic conductivity, is of primary interest for the implementation of distributed hydrological models at the regional scale. This estimation is generally done on the basis of information provided by soil databases. However, such databases are often established ...
Braud, I. Tilmant, F. Samie, R. Le Goff, I.
In this study, we assess the interest of using a Soil – Vegetation – Atmosphere – Transfer model, the SiSPAT (Simple Soil Vegetation Atmosphere Transfer) model, which solves the surface energy balance, for the evaluation of theoretical crop water requirements in south-east France. First the relevance of the model results, when parameterized using i...
Mercier, Florian Bonelli, S. Anselmet, F. Pinettes, P. Courivaud, J.R. Fry, J.J.
Evaluating the erodibility of a soil, both in terms of erosion threshold (initiation) and erosion rate (progression), is critical for the evaluation of the safety of water retaining structures. Indeed different soils can erode at different rates. However, the relationship between the erosion parameters and the geotechnical and chemical properties o...
Zribi, M. Kotti, F. Lili-Chabaane, Z. Baghdadi, N. Ben Issa, N. Amri, R.
In this paper, it is proposed to use TERRASAR-X data for analysis and estimation of soil surface texture. Our study is based on experimental campaigns carried out over a semi-arid area in North Africa. Simultaneously to TERRASAR-X radar acquisitions, ground measurements (texture, soil moisture and roughness) were made on different test fields. A st...
Baghdadi, N. Cresson, R. Pottier, Eric Aubert, M. Zribi, M. Jacome, A. Benabdallah, S.
The objective of this study was to analyze the potential of the C-band polarimetric SAR parameters for the soil surface characterization of bare agricultural soils. RADARSAT-2 data and simulations using the Integral Equation Model (IEM) were analyzed to evaluate the polarimetric SAR parameters' sensitivities to the soil moisture and surface roughne...
Baghdadi, N. Cresson, R. El Hajj, Mohammad Ludwig, R. La Jeunesse, I.
The purpose of this study was to develop an approach to estimate soil surface parameters from C-band polarimetric SAR data in the case of bare agricultural soils. An inversion technique based on Multi-Layer Perceptron (MLP) neural networks was introduced. The neural networks were trained and validated on a noisy simulated dataset generated from the...
