Monte Carlo: an application to modeling remote sensing of vegetation - coherent and incoherent models

Piero Bruscaglioni; P. Poggi; Giovanni Macelloni; Simonetta Paloscia

doi:10.1117/12.512327

3 April 2003 Monte Carlo: an application to modeling remote sensing of vegetation - coherent and incoherent models

Piero Bruscaglioni, P. Poggi, Giovanni Macelloni, Simonetta Paloscia

Proceedings Volume 5059, 12th International Workshop on Lidar Multiple Scattering Experiments; (2003) https://doi.org/10.1117/12.512327
Event: 12th International Workshop on Lidar Multiple Scattering Experiments, 2002, Oberpfaffenhofen, Germany

Abstract

This paper describes an application of the Monte Carlo method to the evaluation of backscattering response to microwave sounding of vegetation. After a brief introductory discussion on the different approaches commonly employed to the numerical simulation of scattering from vegetation, we describe our model based on representing the vegetation medium as a collection of elementary scatterers of simple shapes, and dealing directly with electromagnetic field interaction with these elements. Plant structures are built assembling the single elements by the Lindenmayer systems fractal technique. We presents some examples of computations on models of different kinds of vegetation showing the potential of modeling in understanding scattering behavior. A brief discussion on the issue of second order scattering effects is also included.

Citation Download Citation

Piero Bruscaglioni, P. Poggi, Giovanni Macelloni, and Simonetta Paloscia "Monte Carlo: an application to modeling remote sensing of vegetation - coherent and incoherent models", Proc. SPIE 5059, 12th International Workshop on Lidar Multiple Scattering Experiments, (3 April 2003); https://doi.org/10.1117/12.512327

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