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Special Issue "Selected Papers from ISEMA 2018"

A special issue of Sensors (ISSN 1424-8220).

Deadline for manuscript submissions: 28 February 2019

Special Issue Editors

Guest Editor
Prof. Wojciech Skierucha

Institute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4, 20-290 Lublin, Poland
Website | E-Mail
Phone: +48 81 7445061
Interests: dielectric spectroscopy; dielectric aquametry; environmental monitoring; dielectric indexes of food quality; non-destructive sensing; irrigation management; soil moisture sensing terrestrial and undeground networks
Guest Editor
Dr. Agnieszka Szypłowska

Institute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4, 20-290 Lublin, Poland
Website | E-Mail
Interests: dielectric properties of soil; measurement of soil moisture and salinity; FDR; dielectric models; microwave measurement methods
Guest Editor
Dr. Andrzej Wilczek

Institute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4, 20-290 Lublin, Poland
Website | E-Mail
Interests: dielectric spectroscopy; dielectric aquametry; TDR; TDT; dielectric sensors development; HF electromagnetic simulations

Special Issue Information

Dear Colleagues,

The 12th International Conference on Electromagnetic Wave Interaction with Water and Moist Substances—ISEMA 2018—will take place in Lublin, Poland, 4–7 June 2018, and is organized this time by the Institute of Agrophysics, Polish Academy of Sciences and Foundation of the Polish Academy of Sciences.

 The conference will provide an interdisciplinary platform for sharing experience and discussing latest scientific results in understanding, development and application of electromagnetic moisture measurement techniques.

Conference Topics

  • Electromagnetic determination of physical properties of materials and standardization of measuring methods.
  • Moisture content determination and monitoring in soil, snow, agricultural materials, waste disposals and other nonhomogeneous materials.
  • Progress in measurement instrumentation and methods of broadband dielectric spectroscopy.
  • Electromagnetic sensors in time- and frequency-domain for moisture content determination.
  • Theory and applications of electromagnetic mixing rules and formulas.
  • Dielectric relaxation properties of water in heterogeneous materials, including biological substances and tissues.
  • Applications of broadband dielectric spectroscopy in precision agriculture, civil engineering, industry, etc.
  • Remote sensing for Earth’s water monitoring.
  • Computational methods of electromagnetic wave propagation in dispersive and lossy dielectrics.
  • Integrated techniques using RF and/or microwave dielectric measurements with other methods such as impedance spectroscopy, THz spectroscopy, Raman spectroscopy, infrared spectroscopy, NMR, etc.

Prof. Wojciech Skierucha
Dr. Agnieszka Szypłowska
Dr. Andrzej Wilczek
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Dielectric spectroscopy
  • Soil moisture
  • Soil salinity
  • Microwave moisture measurements
  • Dielectric properties of materials
  • Remote sensing
  • Electromagnetic moisture sensors
  • Dielectric sensors
  • TDR
  • FDR
  • Dielectric mixing rules
  • Moisture monitoring

Published Papers (1 paper)

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Research

Open AccessArticle Spatial Retrieval of Broadband Dielectric Spectra
Sensors 2018, 18(9), 2780; https://doi.org/10.3390/s18092780
Received: 5 July 2018 / Revised: 9 August 2018 / Accepted: 16 August 2018 / Published: 23 August 2018
PDF Full-text (4012 KB) | HTML Full-text | XML Full-text
Abstract
A broadband soil dielectric spectra retrieval approach ( 1 MHz– 2 GHz) has been implemented for a layered half space. The inversion kernel consists of a two-port transmission line forward model in the frequency domain and a constitutive material equation based on a
[...] Read more.
A broadband soil dielectric spectra retrieval approach ( 1 MHz– 2 GHz) has been implemented for a layered half space. The inversion kernel consists of a two-port transmission line forward model in the frequency domain and a constitutive material equation based on a power law soil mixture rule (Complex Refractive Index Model - CRIM). The spatially-distributed retrieval of broadband dielectric spectra was achieved with a global optimization approach based on a Shuffled Complex Evolution (SCE) algorithm using the full set of the scattering parameters. For each layer, the broadband dielectric spectra were retrieved with the corresponding parameters thickness, porosity, water saturation and electrical conductivity of the aqueous pore solution. For the validation of the approach, a coaxial transmission line cell measured with a network analyzer was used. The possibilities and limitations of the inverse parameter estimation were numerically analyzed in four scenarios. Expected and retrieved layer thicknesses, soil properties and broadband dielectric spectra in each scenario were in reasonable agreement. Hence, the model is suitable for an estimation of in-homogeneous material parameter distributions. Moreover, the proposed frequency domain approach allows an automatic adaptation of layer number and thickness or regular grids in time and/or space. Full article
(This article belongs to the Special Issue Selected Papers from ISEMA 2018)
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