Leaf-shape effects in electromagnetic wave scattering from vegetation

Karam, M.A.; Fung, A.K.

doi:10.1109/tgrs.1989.1398241

Cited by 148 publications

(43 citation statements)

References 10 publications

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“…It is possible to model the behavior of an incident waveĒ i in the direction (θ i , φ i ), of the incidence and look angle, using (1). The model follows the finite cylinder approximation [32,33] for stems, tillers and panicles and the physical optics approximation [34] for leaves. Additionally, the model variables are listed as: type of the morphological structure, t; scattering matrix element where q and p are polarization channels (q, p for H,V) for scattered and incident waves, f t qp ; propagation vector of the incident and scattered wave,k i,s p ; Fresnel reflection coefficients, R p (θ) and R q (θ).…”

Section: Backscattering Modelmentioning

confidence: 99%

Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion

et al. 2017

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Abstract:Rice crops are important in the global food economy, and new techniques are being implemented for their effective management. These techniques rely mainly on the changes in the phenological cycle, which can be investigated by remote sensing systems. High frequency and high spatial resolution Synthetic Aperture Radar (SAR) sensors have great potential in all-weather conditions for detecting temporal phenological changes. This study focuses on a novel approach for growth stage determination of rice fields from SAR data using a parameter space search algorithm. The method employs an inversion scheme for a morphology-based electromagnetic backscattering model. Since such a morphology-based model is complicated and computationally expensive, a surrogate metamodel-based inversion algorithm is proposed for the growth stage estimation. The approach is designed to provide estimates of crop morphology and corresponding growth stage from a continuous growth scale. The accuracy of the proposed method is tested with ground measurements from Turkey and Spain using the images acquired by the TerraSAR-X (TSX) sensor during a full growth cycle of rice crops. The analysis shows good agreement for both datasets. The results of the proposed method emphasize the effectiveness of X-band PolSAR data for morphology-based growth stage determination of rice crops.

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Section: Backscattering Modelmentioning

confidence: 99%

Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion

et al. 2017

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“…The scatterers are then characterized by extinction and scattering properties, as a function of shape and size, using different approaches. The scattering amplitudes and the extinction cross sections of needles (representing coniferous forest leaves) were computed by using the model proposed by Karam et al [1989]. For cylinders (representing trunks and branches in forest) the "infinite length" approximation can be adopted.…”

Section: The Snow-vegetation Modelmentioning

confidence: 99%

Effect of forests on the retrieval of snow parameters from backscatter measurements

Macelloni

Brogioni

Montomoli

et al. 2012

European Journal of Remote Sensing

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In preparation for the CoReH2O satellite mission, one of the three missions selected for scientific and technical feasibility studies within the Earth Explorer Programme of the ESA, experimental and theoretical studies have been under way in order to improve methods for the retrieval of snow physical properties from SAR data. The aim of this paper is to investigate the impact of vegetation in the retrieval of snow parameters from microwave backscattering measurements. ARTT model capable of simulating scattering from a snowcovered vegetated terrain was developed and implemented to study the sensitivity to snow and vegetation parameters. A procedure for correcting the vegetation effect in the SWE retrieval algorithm has been suggested.

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“…The scattering of an arbitrarily polarized wave incident on the cylinder can be described in terms of the scattering amplitude tensor, F(k s ,k i ) [9]. If the field inside the cylinder is estimated as the field inside a similar, but infinite cylinder, then F(k s ,k i ) can be expressed as in [9, Equation (47)].…”

Section: Reflection and Scatteringmentioning

confidence: 99%

Physical-statistical channel model for signal effect by moving human bodies

Cheffena

2012

J Wireless Com Network

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A novel physical-statistical channel model for simulating the signal effect by moving human bodies is presented. The human body is modeled as vertically oriented dielectric cylindrical volume. The received signal is assumed to be composed of a direct component which might be subject to shadowing and a multipath component due to reflection and diffuse scattering, i.e., a Ricean channel. The shadowing effect of the direct signal component is calculated using Kirchhoff diffraction equation. The multipath component is parameterized by calculating the reflected fields from the floor, ceiling and walls of the indoor environment as well as scattered fields from moving human bodies. Poisson and Exponential distributions are used to describe the shadowing and inter-shadowing events caused by multiple bodies, respectively. Furthermore, simulation results of the first and second order statistics of the received signal affected by moving human bodies for 3.35 GHz and 60 GHz signals are presented. In addition, initial validation of the developed model are performed using an empirical model for human body shadowing and reported measurement results.

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Leaf-shape effects in electromagnetic wave scattering from vegetation

Cited by 148 publications

References 10 publications

Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion

Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion

Effect of forests on the retrieval of snow parameters from backscatter measurements

Physical-statistical channel model for signal effect by moving human bodies

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