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Publications about 'polarimetric measurements'

Articles in journal or book chapters

  1. Simone Baffelli, Othmar Frey, and Irena Hajnsek. Polarimetric Analysis of Natural Terrain Observed With a Ku-Band Terrestrial Radar. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(12):5268-5288, December 2019. Keyword(s): Terrestrical Radar, Polarimetry, Radar Polarimetry, ku-band, Gamma Portable Radar Interferometer, GPRI-II, Polarimetric Gamma Portable Radar Interferometer, PolGPRI, Entropy, ground based radar, polarimetric radar. [Abstract] [bibtex-entry]


  2. Shaun Quegan and M.R. Lomas. The Interaction Between Faraday Rotation and System Effects in Synthetic Aperture Radar Measurements of Backscatter and Biomass. Geoscience and Remote Sensing, IEEE Transactions on, 53(8):4299-4312, August 2015. Keyword(s): Faraday effect, backscatter, geophysical techniques, synthetic aperture radar, European space agency BIOMASS mission, P-band radar, backscatter synthetic aperture radar measurement, biomass estimation error, biomass synthetic aperture radar measurement, channel imbalance deviation magnitude, distortion term amplitude, distortion term phase, faraday rotation, first-order analysis, long-wavelength space-based radar, polarimetric backscattering coefficient, polarimetric scattering matrix measurement, power-law relation, signal-to-noise ratio, stringent condition, system distortion, Backscatter, Biomass, Crosstalk, Distortion measurement, Faraday effect, Noise, Scattering, Biomass, Faraday rotation, calibration, long-wavelength radar, polarimetric measurements, system distortion. [Abstract] [bibtex-entry]


  3. Scott Hensley, S. Oveisgharan, S. Saatchi, M. Simard, R. Ahmed, and Z. Haddad. An Error Model for Biomass Estimates Derived From Polarimetric Radar Backscatter. IEEE_J_GRS, 52(7):4065-4082, July 2014. Keyword(s): air pollution, carbon capture and storage, remote sensing by radar, vegetation, above ground biomass, basic imaging physics, biomass estimation accuracy, carbon flux measurement, carbon storage, disturbance quantification, ecosystem processes, error model, forest carbon inventories, forested areas, ground carbon, instrument parameter, mission parameter, notional Earth observing mission, polarimetric radar backscatter, radar polarimetric measurements, regrowth quantification, remote sensing measurements, Backscatter, Biological system modeling, Biomass, Radar measurements, Radar polarimetry, Signal to noise ratio, Backscatter error model, forest biomass, polarimetry, synthetic aperture radar (SAR). [bibtex-entry]


  4. L. Pipia, X. Fabregas, A. Aguasca, and C. Lopez-Martinez. Atmospheric Artifact Compensation in Ground-Based DInSAR Applications. IEEE Geosci. Remote Sens. Lett., 5(1):88-92, January 2008. Keyword(s): GB-SAR, ground-based SAR, terrestrial SAR, atmospheric humidity, atmospheric pressure, atmospheric techniques, atmospheric temperature, radar interferometry, synthetic aperture radar, AD 2005 06, Barcelona, Collserola Park, Spain, Universitat Politecnica de Catalunya, atmosphere variations, atmospheric artifact compensation, atmospheric humidity, atmospheric pressure, atmospheric temperature, coherence-based technique, differential interferometry Synthetic Aperture Radar, ground-Based DInSAR applications, heterogeneous environment, interferometric information, polarimetric measurements, Atmosphere, Atmospheric measurements, Atmospheric modeling, Information retrieval, Interferometry, Layout, Sensor phenomena and characterization, Sensor systems, Synthetic aperture radar, Testing, Differential interferometric SAR (DInSAR), GB-SAR sensor, polarimetric SAR (PolSAR), synthetic aperture radar (SAR). [bibtex-entry]


Conference articles

  1. Othmar Frey, Charles L. Werner, Rafael Caduff, and Andreas Wiesmann. Tomographic profiling with SnowScat within the ESA SnowLab Campaign: Time Series of Snow Profiles Over Three Snow Seasons. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 6512-6515, 2018. Keyword(s): SAR Processing, SAR Tomography, Tomographic profiling, SnowScat, ESA, European Space Agency, X-Band, Ku-Band, Polarimetry, ground-based radar, Snow, Snowpack, geophysical signal processing, radar polarimetry, synthetic aperture radar. [Abstract] [bibtex-entry]


  2. Othmar Frey, Charles L. Werner, Rafael Caduff, and Andreas Wiesmann. Inversion of Snow Structure Parameters from Time Series of Tomographic Measurements With SnowScat. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 2472-2475, 2017. Keyword(s): SAR Processing, SAR Tomography, Tomographic profiling, SnowScat, ESA, European Space Agency, X-Band, Ku-Band, Polarimetry, ground-based radar, Snow, Snowpack, geophysical signal processing, radar polarimetry, synthetic aperture radar, SWE, Snow Water Equivalent, Autofocus, Time-Domain Back-Projection, TDBP, Backprojection. [Abstract] [bibtex-entry]


  3. Othmar Frey, Charles L. Werner, Rafael Caduff, and Andreas Wiesmann. A time series of tomographic profiles of a snow pack measured with SnowScat at X-/Ku-Band. In Proc. IEEE Int. Geosci. Remote Sens. Symp., volume 1, pages 17-20, July 2016. Keyword(s): SAR Processing, SAR Tomography, Tomographic profiling, SnowScat, ESA, European Space Agency, X-Band, Ku-Band, Polarimetry, ground-based radar, Snow, Snowpack, geophysical signal processing, radar polarimetry, synthetic aperture radar. [Abstract] [bibtex-entry]


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Please note that access to full text PDF versions of papers is restricted to the Chair of Earth Observation and Remote Sensing, Institute of Environmental Engineering, ETH Zurich.
Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.

This collection of SAR literature is far from being complete.
It is rather a collection of papers which I store in my literature data base. Hence, the list of publications under PUBLICATIONS OF AUTHOR'S NAME should NOT be mistaken for a complete bibliography of that author.




Last modified: Mon Feb 1 16:40:46 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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