Abstract
The analysis of the radar response on natural surfaces has been subject of intense research during the last decades in the field of remote sensing. Unless the availability of accurate values of surface roughness parameter, the restitution of soil moisture from radar backscattering signal can constantly provide inaccurate estimates. Characterization of soil roughness is not fully understood, so a wide range of roughness values can be obtained for the same studied surface when using different measurement methodologies. Various studies have shown a weak agreement between experimental measurements of soil physical parameters and theoretical values under natural conditions. Due to this nonlinearity and its ill-posedness, the inversion of backscattering radar signal on soils for restitution of physical soil parameters is particularly complex. The aim of the present work is the restitution of soil physical parameters from backscattered radar signal using an adapted backscattering model to the soil proposed description. As our study focuses on little rough soils, we have adopted in this work a multi-layered modified multiscale bi-dimensional Small Perturbation Model (2D MLS SPM). Subsequently, we propose a new way of describing the dielectric constant, with the aim of including air fractions in the multiscale multilayer description of the soil. Calculating the dielectric constant is based on the consideration of a soil comprising two phases, a fraction of soil, and an air fraction. For the inversion method, a methodology of coupling between neural networks (NN) and genetic algorithms (GA) was carried on in order to restitute the physical properties of the soil. Samples were generated by the original MLS 2D SPM followed by a neural network to obtain the statistic soil moisture and MLS roughness parameters algorithm. thereafter, these restored values were modelled by the genetic algorithms to resolve, in part or in whole, the disagreement between the retrieval and original values.
Highlights
AND BACKGROUND soil moisture shows only a small proportion of the amount of water on Earth [12], it plays an extremely important role in different environmental sciences
3) Reflection of a multilayered medium: we propose the redefinition of the dielectric constant to include the air fractions presented in the soil volume structure, while taking into account the multiscale multilayer description of the soil
We have introduced the multilayer appearance of the soil surface moisture and thereafter, the dielectric constant will be redefined according to the new description to take into consideration the air / soil composition. εapp is an effective permittivity that encompasses the different dielectric permittivities of the three layers
Summary
Soil moisture shows only a small proportion of the amount of water on Earth [12], it plays an extremely important role in different environmental sciences This parameter, closely related to the soil dielectric constant, is strongly involved in the regulation of evapotranspiration phenomenon which directly affects atmospheric dynamics [10]. The measurement of soil roughness should be taken into account to study and model the processes of runoff and erosion of agricultural land. It would be very useful for better understanding the hydrodynamics and soils drainage
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Computer Science and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
