What are the scattering models in vegetation?
Best insight from top research papers
Scattering models in vegetation include the hybrid integral equation method for solving objects with thin dielectric sheets and dielectric bodies, which accurately analyzes the electromagnetic scattering of large-area vegetation . Another method is the Numerical Maxwell Model of 3D (NMM3D) full-wave simulation, which accounts for the cluster and extended cylinder structure of scatterers in vegetation . Additionally, a microwave scattering model is proposed for ground surfaces covered with multilayer vegetation, using the finite element method to solve the scattering magnetic field equation . The improved fast hybrid method combines fast multiple scattering theory and a numerical electromagnetic approach to calculate scattering in large vegetation fields . Finally, the RadOptics model integrates optical and radar wavelengths into one radiative transfer-based model, allowing for consistent simulation of canopy and soil reflectances in both spectral regions .
Answers from top 5 papers
More filters
| Papers (5) | Insight |
|---|---|
23 Jul 2018 1 Citations | The paper does not explicitly mention the specific scattering models used for vegetation. |
| The paper does not explicitly mention the scattering models in vegetation. | |
4 Citations | The paper proposes a microwave scattering model for ground surfaces covered with multilayers vegetation. It uses the finite element method to solve the scattering magnetic field equation and explores the internal mechanism of microwave scattering of multilayers vegetation. However, it does not specifically mention other scattering models in vegetation. |
26 Sep 2020 1 Citations | The paper discusses the use of the classical Radiative Transfer Equation (RTE) and Distorted Born Approximation (DBA) models for scattering in vegetation. |
| The paper does not explicitly mention the scattering models in vegetation. |
Related Questions
What are the basic principles of scattering in vegetation?4 answersThe basic principles of scattering in vegetation involve modeling the scattering behavior of vegetated surfaces using radiative transfer theory. This includes considering the permittivity of the vegetation and the vegetated medium, as well as the moisture content of the vegetation. Multiple scattering effects are crucial for accurate modeling, especially in forested areas with large vegetation water contents. The scattering of microwave radiation from multilayered vegetation can be explored using numerical methods and the relationship between radar cross section and bidirectional reflectance distribution function. The scattering of a 3-D deterministic forest scene can be calculated by simplifying trees as slim cylinders and disks, and verifying the accuracy of the scattering calculations. Scattering cross sections for vegetation can be computed using the Distorted Born Approximation and 1st order transport theory, with the presence of enhancement terms in the former.
Scattering mechanism of marine radar and wave?5 answersThe scattering mechanism of marine radar and waves has been extensively studied in recent research. It has been found that the traditional Bragg scattering model, which explains radar backscattering at moderate incidence angles, is often unable to fully explain observational data. As a result, additional scattering mechanisms have been proposed. One such mechanism is non-polarized scattering, which occurs due to breaking wave crests in moderate and strong winds. Another important factor in radar backscattering is the presence of breaking ship waves, which can significantly affect the scattering field and radar cross section. Additionally, the intensity modulation of radar backscatter has been found to be correlated with the amplitude of internal waves and surface velocity gradients. These findings provide valuable insights into the scattering mechanisms of marine radar and waves, which can help optimize radar detection of marine targets in varying sea conditions.
Can the finite element method be used to model scattering of electromagnetic waves?5 answersYes, the finite element method can be used to model scattering of electromagnetic waves. The method has been applied to analyze scattering issues caused by various types of 3D structures coated with dielectrics on perfect electric conductors. Additionally, a numerical scheme has been proposed that hybridizes the element-level dual-field time-domain finite-element domain decomposition method (ELDDM) and the time-domain boundary integral (TDBI) method to accurately and efficiently analyze open-region transient electromagnetic scattering problems. Another numerical scheme has been proposed that hybridizes the element level dual field time domain finite element domain decomposition method (ELDFDD/TDFEM) and time domain boundary integral (TDBI) method for accurate and efficient analysis of open-region transient electromagnetic scattering problems. These studies demonstrate the applicability and accuracy of the finite element method in modeling electromagnetic wave scattering.
How can the image source method be used to model scattering from a cylinder?4 answersThe image source method can be used to model scattering from a cylinder by considering the reflection and transmission of the incident field. The method involves representing the scattered field as a sum of cylindrical surface currents, which can be expressed using explicit series expressions. By choosing the image cylinders properly and extracting a line image source from each, the convergence of the series can be improved. The image source is identified as a line current at the location of the original current, along with a combination of a sheet current and a bilayer distribution of current located on the fundamental strip between the two foci. This approach allows for the accurate modeling of the scattering from a cylinder and can be used to analyze the impact of different parameters, such as the permittivity and permeability, on the scattering behavior.
How can scattering transform be used to model dynamic phenomena?5 answersThe scattering transform is a powerful tool for modeling dynamic phenomena. It allows for the arbitrary assignment of a dynamic cone to nonlinear conic systems, making it effective for stabilizing complex interconnections of nonlinear systems with and without communication delays. The scattering transform is also used in deep learning representations, providing a mathematical basis to study convolutional neural networks (CNNs) and their stability properties. It has been extended to non-Euclidean data structures, such as graphs and manifolds, in the field of geometric deep learning. Additionally, a generalized version of the scattering transformation has been developed for non-planar conic systems, enabling the rendering of input-output characteristics into an arbitrarily prescribed dynamic cone. The scattering transform, together with the Fourier transform modulus, can be used to classify signal deformations and understand their effects.
How can scattering transforms be used to study dynamic systems?5 answersScattering transforms can be used to study dynamic systems by allowing for the arbitrary assignment of a system's nonlinear cone, which is effective for stabilization of complex interconnections of nonlinear systems with and without communication delays. These techniques are complementary tools for investigating polymer structure and dynamics, providing insights into molecular weight and weight distribution, single-chain conformation, phase transition, hierarchical structures, aggregation kinetics, particle shape analysis, and condensed two-phase systems. The scattering transformation can also be extended to non-planar conic systems, enabling the rendering of input-output characteristics into a prescribed dynamic cone and facilitating finite L2-gain stabilization of feedback interconnections. Additionally, the scattering transform in the univariate setting exhibits properties such as translation invariance, stability under small diffeomorphism, and the ability to carry high-frequency information, which can be used for understanding the effect of signal deformation and classifying different types of deformations.