Stephen Razafindratsima
University of Bordeaux
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Featured researches published by Stephen Razafindratsima.
Remote Sensing | 2016
Simone Bircher; François Demontoux; Stephen Razafindratsima; Elena Zakharova; Matthias Drusch; Jean-Pierre Wigneron; Yann Kerr
Global surface soil moisture products are derived from passive L-band microwave satellite observations. The applied retrieval algorithms include dielectric models (relating soil water content to relative permittivity) developed for mineral soils. First efforts to generate equivalent models for areas where organic surface layers are present such as in the high-latitude regions have recently been undertaken. The objective of this study was to improve our still insufficient understanding of L-band emission of organic substrates in prospect of enhancing soil moisture estimations in the high latitudes undergoing most rapid climatic changes. To this end, L-band relative permittivity measurements using a resonant cavity were carried out on a wide range of organic surface layer types collected at different sites. This dataset was used to evaluate two already existing models for organic substrates. Some samples from underlying mineral layers were considered for comparison. In agreement with theory the bulk relative permittivity measured in organic substrate was decreased due to an increased bound water fraction (where water molecules are rotationally hindered) compared to the measured mineral material and corresponding output of the dielectric model for mineral soils used in satellite algorithms. No distinct differences in dielectric response were detected in the measurements from various organic layer types, suggesting a generally uniform L-band emission behavior. This made it possible to fit a simple empirical model to the data obtained from all collected organic samples. Outputs of the two existing models both based on only one organic surface layer type were found to lie within the spread of our measured data, and in close proximity to the derived simple model. This general consensus strengthened confidence in the validity of all these models. The simple model should be suitable for satellite soil moisture retrieval applications as it is calibrated on a wide range of organic substrate types and the entire wetness range, and does not require any auxiliary input that may be difficult to obtain globally. This renders it generically applicable wherever organic surface layers are present.
Remote Sensing | 2018
François Jonard; Simone Bircher; François Demontoux; Lutz Weihermüller; Stephen Razafindratsima; Jean-Pierre Wigneron; Harry Vereecken
Organic soils play a key role in global warming because they store large amount of soil carbon which might be degraded with changing soil temperatures or soil water contents. There is thus a strong need to monitor these soils and, in particular, their hydrological characteristics using, for instance, space-borne L-band brightness temperature observations. However, there are still open issues with respect to soil moisture retrieval techniques over organic soils. In view of this, organic soil blocks with their vegetation cover were collected from a heathland in the Skjern River catchment in western Denmark and then transported to a remote sensing field laboratory in Germany where their structure was reconstituted. The controlled conditions at this field laboratory made it possible to perform tower-based L-band radiometer measurements of the soils over a period of two months. Brightness temperature data were inverted using a radiative transfer (RT) model for estimating the time variations in the soil dielectric permittivity and the vegetation optical depth. In addition, the effective vegetation scattering albedo parameter of the RT model was retrieved based on a two-step inversion approach. The remote estimations of the dielectric permittivity were compared to in situ measurements. The results indicated that the radiometer-derived dielectric permittivities were significantly correlated with the in situ measurements, but their values were systematically lower compared to the in situ ones. This could be explained by the difference between the operating frequency of the L-band radiometer (1.4 GHz) and that of the in situ sensors (70 MHz). The effective vegetation scattering albedo parameter was found to be polarization dependent. While the scattering effect within the vegetation could be neglected at horizontal polarization, it was found to be important at vertical polarization. The vegetation optical depth estimated values over time oscillated between 0.10 and 0.19 with a mean value of 0.13. This study provides further insights into the characterization of the L-band brightness temperature signatures of organic soil surface layers and, in particular, into the parametrization of the RT model for these specific soils. Therefore, the results of this study are expected to improve the performance of space-borne remote sensing soil moisture products over areas dominated by organic soils.
congrès 15th International Conference on Ground Penetrating Radar (GPR 2014) | 2014
Tien Chinh Maï; Zoubir Mehdi Sbartaï; Frédéric Bos; Stephen Razafindratsima; François Demontoux
This paper deals with the study of the GPR technique for timber structures evaluation. According to the electromagnetic (EM) theory, GPR waves propagation is governed by the EM properties of a dielectric material as wood, which is affected by various parameters such as moisture, as well as heterogeneities. This paper presents some laboratory measurements in the aim of studying the sensitivity of electromagnetic waves to moisture variation in wood material. Dielectric relative permittivity was measured using resonance technique at 1.26 GHz for Spruce and Pine wood samples. GPR measurements were also carried out using GSSI SIR 3000 system connected to 1.5 GHz antennas on several wood samples. The results of this study show the good relations between real/imaginary relative permittivity and moisture content of the different wood samples. Moreover, due to the dependence of wood permittivity to moisture, GPR features in time domains present some correlations with moisture content of wood material.
international geoscience and remote sensing symposium | 2014
François Demontoux; Stephen Razafindratsima; Carlos Serradilla Arellano; Gilles Ruffié
The remote signatures measured at microwave frequency are strongly dependent on the permittivity of soil. This study deals with the development at IMS laboratory of an in situ dielectric measurement system based on an end effect probe.
international geoscience and remote sensing symposium | 2014
François Demontoux; François Jonard; Simone Bircher; Stephen Razafindratsima; Mike Schwank; Jean-Pierre Wigneron; Yann Kerr
Microwave remote sensing instruments are an adequate way to provide soil moisture information at large scale. Microwave remote sensing data are linked to the electromagnetic properties of soil. In that context, the objective of this study is to develop an integrated approach to estimate effective electromagnetic properties of soils layers at different scale using ground-penetrating radar (GPR), L-band radiometer, dielectric laboratory measurements, modelling approaches and in situ measurements of essential state variables.
Construction and Building Materials | 2015
Tien Chinh Maï; Stephen Razafindratsima; Zoubir Mehdi Sbartaï; François Demontoux; Frédéric Bos
Journal of Applied Geophysics | 2014
Stephen Razafindratsima; Jean-François Lataste
Sensors and Actuators A-physical | 2017
François Demontoux; Stephen Razafindratsima; Simone Bircher; Gilles Ruffié; François Jonard; Jean-Pierre Wigneron; Mehdi Sbartai; Yann Kerr
4th International Symposium on Soil Water Measurement, Using Capacitance, Impedance and Time Domain Transmission | 2014
Simone Bircher; Stephen Razafindratsima; François Demontoux; Mike Andreasen; Johanna Vuollet; Kimmo Rautiainen; François Jonard; Lutz Weihermüller; Philippe Richaume; Arnaud Mialon; Jean-Pierre Wigneron; Yann Kerr
Wood Science and Technology | 2017
Stephen Razafindratsima; Zoubir Mehdi Sbartaï; François Demontoux