Special Issue "Selected Papers from the Polarimteric Interferomteric SAR Workshop 2019"

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

Deadline for manuscript submissions: 31 October 2019.

Special Issue Editors

Dr. Klaus Scipal
E-Mail Website
Guest Editor
European Space Agency, Earth Observation Mission Science Division, ESTEC, Keplerlaan 1, NL-2201 AZ Noordwijk, The Netherlands
Tel. +31-71-565-5836
Interests: SAR, Forest Structure, Biomass
Special Issues and Collections in MDPI journals
Prof. Dr. Irena Hajnsek
E-Mail Website1 Website2
Guest Editor
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
Tel. +41/(0)44-633-7455 or +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
Special Issues and Collections in MDPI journals
Prof. Juanma Lopez Sanchez
E-Mail Website
Guest Editor
DFISTS – IUII, Universidad de Alicante, P.O. Box 99, E-03080 Alicante, Spain
Tel. +34 965909597; Fax: +34 965909750
Interests: radar polarimetry; interferometry; polarimetric SAR interferometry; agriculture; geophysics
Special Issues and Collections in MDPI journals
Prof. Y S Rao
E-Mail Website
Guest Editor
Centre of Studies in Resources Engineering (CSRE), Indian Institute of Technology Bombay, Powai, Mumbai 400 076, India
Interests: hybrid polarimetry; calibration; Polar SAR data inversion for soil moisture; biomass; LAI; classification
Dr. Scott Hensley
E-Mail
Guest Editor
Jet Propulsion Lab, 4800 Oak Grove Dr., Pasadena, CA 91109, USA
Prof. Yoshio Yamaguchi
E-Mail Website
Guest Editor
Dept. of Information Engineering, Niigata University, Ikarashi 2-8050, Nishi-ku, Niigata 950-2181, Japan
Interests: polarimetric SAR data utilization and decomposition; polarimetric radar sensing of the Earth’s surface with environmental applications
Prof. Eric Pottier
E-Mail
Guest Editor
Université de Rennes 1, 263 Avenue du Général Leclerc, 35042 Rennes, France
Tel. +33 223 23 5763
Interests: radar polarimetry

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 polarizations. SAR interferograms are sensitive to the spatial diversity of the vegetation’s vertical structure and allow precise measurement of the scattering center. The polarimetric radar signature is also sensitive to the shape, orientation and dielectric properties of the scatterers and facilitates the identification and/or separation of scattering mechanisms in natural materials. 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 is applied to a broad range of applications (forestry, agriculture, cryosphere, etc.). Several new techniques have been developed in this domain for data processing and model inversions, and extensions have been considered to multi-baseline modes providing an increased observation space. In this Special Issue we would like to collect contributions on advances 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.

Dr. Klaus Scipal
Prof. Dr. Irena Hajnsek
Prof. Juanma Lopez Sanchez
Prof. Y S Rao
Dr. Scott Hensley
Prof. Yoshio Yamaguchi
Prof. Eric Pottier
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 semimonthly 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.

Published Papers (1 paper)

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Research

Open AccessArticle
Wind Speed Retrieval from Simulated RADARSAT Constellation Mission Compact Polarimetry SAR Data for Marine Application
Remote Sens. 2019, 11(14), 1682; https://doi.org/10.3390/rs11141682 - 16 Jul 2019
Abstract
RADARSAT Constellation Mission (RCM) compact polarimetry (CP) data were simulated using 504 RADARSAT-2 quad-pol SAR images. These images were used to samples CP data in three RCM modes to build a data set with co-located ocean wind vector observations from in situ buoys [...] Read more.
RADARSAT Constellation Mission (RCM) compact polarimetry (CP) data were simulated using 504 RADARSAT-2 quad-pol SAR images. These images were used to samples CP data in three RCM modes to build a data set with co-located ocean wind vector observations from in situ buoys on the West and East coasts of Canada. Wind speeds up to 18 m/s were included. CP and linear polarization parameters were related to the C-band model (CMOD) geophysical model functions CMOD-IFR2 and CMOD5n. These were evaluated for their wind retrieval potential in each RCM mode. The CP parameter Conformity was investigated to establish a data-quality threshold (>0.2), to ensure high-quality data for model validation. An accuracy analysis shows that the first Stokes vector (SV0) and the right-transmit vertical-receive backscatter (RV) parameters were as good as the VV backscatter with CMOD inversion. SV0 produced wind speed retrieval accuracies between 2.13 m/s and 2.22 m/s, depending on the RCM mode. The RCM Medium Resolution 50 m mode produced the best results. The Low Resolution 100 m and Low Noise modes provided similar results. The efficacy of SV0 and RV imparts confidence in the continuity of robust wind speed retrieval with RCM CP data. Three image-based case studies illustrate the potential for the application of CP parameters and RCM modes in operational wind retrieval systems. The results of this study provide guidance to direct research objectives once RCM is launched. The results also provide guidance for operational RCM data implementation in Canada’s National SAR winds system, which provides near-real-time wind speed estimates to operational marine forecasters and meteorologists within Environment and Climate Change Canada. Full article
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