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Special Issue "Recent Advances in Polarimetric SAR Interferometry"

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: 30 June 2017

Special Issue Editors

Guest Editor
Prof. Dr. Irena Hajnsek

1. Swiss Federal Institute of Technology Zurich (ETH), Institute of Environmental Engineering, HIF D28.1, Stefano-Franscini Platz 3, CH-8093 Zurich, Switzerland
2. German Aerospace Center, Microwaves and Radar Institute, Department: Radar Concepts, Research Group: Pol-InSAR, P.O. Box 1116, D-82234 Wessling, Germany
Website1 | Website2 | E-Mail
Phone: +41/(0)44-633-7455/+49/(0)8153-28-2363
Fax: +49/(0)8153-28-1135
Interests: radar remote sensing of the Earth’s surface; polarimetric and interferometric data processing and analysis for different environmental applications
Guest Editor
Dr. Klaus Scipal

European Space Agency, Earth Observation Mission Science Division, ESTEC, Keplerlaan 1, NL-2201 AZ Noordwijk, The Netherlands
Phone: +31-71-565-5836
Interests: radar remote sensing of the Earth’s surface; satellite system design; bio/geophysical parameter retrieval; data assimilation
Guest Editor
Dr. Pascale Dubois-Fernandez

ONERA, the French Aerospace Lab, Department of Electromagnetism and Radar, Center of Salon de Provence, BA701, 13661 Salon Air Cedex, France
Phone: +33-490170127
Interests: radar remote sensing of the Earth’s surface; polarimetric, interferometric and tomographic data processing; forest mapping
Guest Editor
Prof. Dr. Juan Manuel Lopez-Sanchez

DFISTS - IUII, Universidad de Alicante, P.O. Box 99, E-03080 Alicante, Spain
Website | E-Mail
Phone: +34 965909597
Fax: +34 965909750
Interests: polarimetry; interferometry; polarimetric SAR interferometry; agriculture; subsidence
Guest Editor
Dr. Torbjorn Eltoft

CIRFA, Department of Physics and Technology, UiT—The Arctic University of Norway, Postbox 6050 Langnes, 9037 Tromsø, Norway
Website | E-Mail
Phone: +47-77645184/+47-95007345

Special Issue Information

Dear Colleagues,

The introduction of polarimetric SAR interferometry (Pol-InSAR) at the end of the 1990s was a decisive step towards developing remote sensing applications relevant to forestry. Pol-InSAR is based on the coherent combination of SAR interferograms for different polarisations. On the one hand, SAR interferograms are sensitive to the spatial diversity of vegetation’s vertical structure and allow precise measurement of the scattering centre. On the other, the polarimetric radar signature is sensitive to the shape, orientation and dielectric properties of the scatterers and facilitates the identification and/or separation of scattering mechanisms in natural media. With polarimetric SAR interferometry, the complementary sensitivities of these two measurements are combined coherently, allowing the quantitative determination of relevant (structure) parameters from SAR measurements. Today, Pol-InSAR is an established technique, allowing investigation of the 3-D structure of natural volume scatterers and being applied to a broad domain of application (forestry, agriculture, cryosphere, etc.). Several new techniques have been developed in this domain in terms of data processing and model inversions, as well as extensions have been considered to multi-baseline modes providing an increased observation space. In this Special Issue we like to collect contributions talking the advance in this domain.

We would like to invite you to submit articles about your recent research with respect to the following topics:

  • Polarimetric SAR: Methods, models and inversion
  • Polarimetric SAR applied to different applications
  • Polarimetric SAR Interferometry: Methods, models and inversion
  • Polarimetric SAR Inteferometry applied to different applications
  • Multi-baseline polarimeric SAR interferometry (Polarimetric Tomography)
  • Satellite missions employing polarimetric SAR interferometry
  • Review articles covering one or more of these topics are also welcome.

Authors are required to check and follow specific Instructions to Authors, see https://dl.dropboxusercontent.com/u/165068305/Remote_Sensing-Additional_Instructions.pdf.

Prof. Dr. Irena Hajnsek
Dr. Klaus Scipal
Dr. Pascale Dubois-Fernandez
Prof. Dr. Juan Manuel Lopez Sanchez
Dr. Torbjorn Eltoft
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. Remote Sensing 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 1600 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.

Published Papers (1 paper)

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Open AccessArticle Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion
Remote Sens. 2017, 9(5), 460; doi:10.3390/rs9050460
Received: 30 March 2017 / Revised: 26 April 2017 / Accepted: 3 May 2017 / Published: 10 May 2017
PDF Full-text (9335 KB) | HTML Full-text | XML Full-text
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
[...] Read more.
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. Full article
(This article belongs to the Special Issue Recent Advances in Polarimetric SAR Interferometry)

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Tel. +41 61 683 77 34
Fax: +41 61 302 89 18
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