Charles L. Werner

Dr. Charles L. Werner

Gamma Remote Sensing AG
orcid

Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 January 2010 in Sensors
Verified
Journal Article
Open access
PDF file
MSMike Schwank
Mike Schwank
AWAndreas Wiesmann
Andreas Wiesmann
Charles L. WernerCharles L. Werner
Charles L. Werner
CMChristian Mätzler
Christian Mätzler
DWDaniel Weber
Daniel Weber
UWUrs Wegmueller
Urs Wegmueller
L-band (1–2 GHz) microwave radiometry is a remote sensing technique that can be used to monitor soil moisture, and is deployed in the Soil Moisture and Ocean Salinity (SMOS) Mission of the European Space Agency (ESA). Performing ground-based radiometer campaigns before launch, during the commissioning phase and during the operative SMOS mission is important for validating the satellite data and for the further improvement of the radiative transfer models used in the soil-moisture retrieval algorithms. To address these needs, three identical L-band radiometer systems were ordered by ESA. They rely on the proven architecture of the ETH L-Band radiometer for soil moisture research (ELBARA) with major improvements in the microwave electronics, the internal calibration sources, the data acquisition, the user interface, and the mechanics. The purpose of this paper is to describe the design of the instruments and the main characteristics that are relevant for the user.

5 October 2021 in IEEE Transactions on Geoscience and Remote Sensing
Verified
Journal Article
Open access
RNReza Naderpour
Reza Naderpour
MSMike Schwank
Mike Schwank
DHDerek Houtz
Derek Houtz
Charles L. WernerCharles L. Werner
Charles L. Werner
CMChristian Matzler
Christian Matzler
This article experimentally investigates relationships between copol backscattering at a wide range of frequencies (L- to Ka-bands) and snow–ground state parameters (SPs) in different evolution phases during the full winter cycle of 2019/2020. Backscattering coefficients from 1 to 40 GHz, in situ snow–ground SPs, and meteorological data are measured at the Davos-Laret Remote Sensing Field Laboratory (Switzerland). Relative strengths of the snow–ground system’s three primary scattering elements (air–snow interface, snow volume, and snow–ground interface) on backscattering are assessed. An anticorrelation between reasonably high snow wetness and backscattering coefficient is found, especially at higher microwave frequencies. For small amounts of snow wetness, backscatter coefficients at L- and S-bands are intensified via increasing snow volume and snow surface scattering. Snow–ground SPs influence backscattering according to their characteristic time scales of temporal evolution. Under dry snow conditions and at low and intermediate frequencies, ground permittivity is the major influencer of backscatter at a time scale of roughly two weeks. Snowfall is the major influencer of backscatter at a time scale of a few hours to a few days. The findings of this article are valuable to the development of retrieval algorithms using machine learning while maintaining a grasp on the ongoing physical processes. Another key message is that multifrequency active microwave measurements are critical to maximize the number of retrievable SPs and their estimation accuracy. For example, while Ka-band performs well in the detection of snow cover, L-band measurements are more responsive to changes of snow water equivalent (SWE) under moist or wet snow conditions.

19 December 2017 in IEEE Transactions on Geoscience and Remote Sensing
Verified
Journal Article
Closed access
SBSimone Baffelli
Simone Baffelli
OFOthmar Frey
Othmar Frey
Charles L. WernerCharles L. Werner
Charles L. Werner
IHIrena Hajnsek
Irena Hajnsek
Differential interferometry using ground-based radar systems permits to monitor displacements in natural terrain with high flexibility in location, time of acquisition, and revisit time. In combination with polarimetric imaging, discrimination of different scattering mechanisms present in a resolution cell can be obtained simultaneously with the estimation of surface displacement. In this paper, we present the preprocessing steps and the calibration procedure required to produce high-quality calibrated polarimetric single-look complex imagery with KAPRI, a new portable Ku-band polarimetric radar interferometer. The processing of KAPRI data into single look complex images is addressed, including the correction of beam squint and of azimuthal phase variations. A polarimetric calibration model adapted to the acquisition mode is presented and used to produce calibrated polarimetric covariance matrix data. The methods are validated by means of a scene containing five trihedral corner reflectors. Data preprocessing is assessed by analyzing the oversampled response of a corner reflector, and the polarimetric calibration quality is verified by computing polarimetric signatures and residual calibration parameters.

19 October 2021 in IEEE Transactions on Geoscience and Remote Sensing
Verified
Journal Article
Open access
MSMarcel Stefko
Marcel Stefko
OFOthmar Frey
Othmar Frey
Charles L. WernerCharles L. Werner
Charles L. Werner
IHIrena Hajnsek
Irena Hajnsek
This article presents the bistatic operation mode and the performance analysis of KAPRI, a terrestrial frequency-modulated continuous wave (FMCW) Ku-band polarimetric radar interferometer capable of acquiring bistatic full-polarimetric datasets with high spatial and temporal resolution. In the bistatic configuration, the system is composed of two independently-operating KAPRI devices, one serving as a primary transmitter-receiver, and the other as a secondary receiver. The secondary bistatic dataset is affected by possible offsets between the two devices’ reference clocks, as well as distortions arising from the bistatic geometry. To correct for this, we present a two-chirp bistatic FMCW signal model which accounts for the distortions, and a reference chirp transmission procedure which allows correcting the clock offsets in the deramped signal time domain. The second challenge of operation of a bistatic polarimetric system is polarimetric calibration, since it is not possible to employ purely monostatic targets such as corner reflectors. For this purpose we developed a novel active calibration device VSPARC (Variable-Signature Polarimetric Active Radar Calibrator), designed for monostatic and bistatic calibration of all polarimetric channels. VSPARC and its associated novel polarimetric calibration method were then used to achieve full calibration of both KAPRI devices with polarimetric phase calibration accuracy of 20° and 30 dB polarization purity in field conditions. This article thus presents a complete measurement configuration and data processing pipeline necessary for synchronization, coregistration, and polarimetric calibration of bistatic and monostatic datasets acquired by a real-aperture FMCW radar.

1 September 2015
Verified
Conference Paper
Closed access
UWUrs Wegmueller
Urs Wegmueller
Charles L. WernerCharles L. Werner
Charles L. Werner
TSTazio Strozzi
Tazio Strozzi
AWAndreas Wiesmann
Andreas Wiesmann
OFOthmar Frey
Othmar Frey
MSMaurizio Santoro
Maurizio Santoro

1 July 2013
Verified
Conference Paper
Open access
OFOthmar Frey
Othmar Frey
Charles L. WernerCharles L. Werner
Charles L. Werner
UWUrs Wegmueller
Urs Wegmueller
AWAndreas Wiesmann
Andreas Wiesmann
DHDaniel Henke
Daniel Henke
CMChristophe Magnard
Christophe Magnard
In this contribution, a car-borne SAR and InSAR experiment is described. The slope of a valley was imaged by means of a single-pass InSAR system mounted on a car driving on roads along the bottom of the valley. The GAMMA portable radar interferometer GPRI-II hardware with a modified antenna configuration was used for data acquisition. The experimental setup (1), SAR imagery focused along a slightly curved sensor trajectory (2), and first interferometric results (3) obtained using this configuration are presented.