PIERS 2019 in Rome
[EM Wave]

PhotonIcs & Electromagnetics Research Symposium
also known as Progress In Electromagnetics Research Symposium

PIERS 2019 in Rome, Italy, 17-20 June, 2019

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PIERS2019 Rome Focus/Special Sessions  
5_FocusSession.SC5: Modeling in Remote Sensing 1
Organized by Prof. Joel T. Johnson (The Ohio State University) and Prof. Nazzareno Pierdicca (Sapienza University of Rome)
Session's Information:
Remote sensing combines different branches, which spans from the design of the instruments (ground based or airborne) to the final applications and data assimilation into environmental models. In the frame of this discipline a key topic is understanding the interaction between the signal generated and/or detected by the instrument and the natural target we want to observe, and its bio-geophysical parameters we want to measure. The knowledge of the electromagnetic mechanisms governing that interaction is the starting point to retrieve target parameters and then use them into environmental models. This section focuses on models and techniques used to take geometric, volumetric and material composition descriptions of a scene along with their EM (e.g., scattering, absorption, emission, optical BRDF, dielectric properties, etc.) attributes and then predict for a given remote sensing instrument the resulting observation. In this contest the advances in instrument technology and the demands of the users for new products poses new challenges for modelling the electromagnetic interaction. For instance, the bistatic scattering behaviour of natural surface is becoming important to interpret bistatic radar data, including the scattering from signals of opportunity. Polarimetric observations and observation from multistatic systems requires to account for the anisotropic characteristics of many targets (e.g., anisotropic soil, ocean, etc.). Novel frequency channels are foreseen for future systems and interaction must be better understood. The session aims to bring together scientists involved in the electromagnetic modelling in remote sensing, addressing new challenges and new achievements in this field.
Organizer's Information:

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