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Publications about 'vertical structure'

Articles in journal or book chapters

  1. S. Leinss, H. Lwe, M. Proksch, and A. Kontu. Modeling the evolution of the structural anisotropy of snow. The Cryosphere, 14(1):51-75, 2020. [Abstract] [bibtex-entry]


  2. Ibrahim El Moussawi, Dinh Ho Tong Minh, Nicolas Baghdadi, Chadi Abdallah, Jalal Jomaah, Olivier Strauss, Marco Lavalle, and Yen-Nhi Ngo. Monitoring Tropical Forest Structure Using SAR Tomography at L- and P-Band. Remote Sensing, 11(16), 2019. [Abstract] [bibtex-entry]


  3. Unmesh Khati, Marco Lavalle, and Gulab Singh. Spaceborne tomography of multi-species Indian tropical forests. Remote Sensing of Environment, 229:193-212, 2019. Keyword(s): SAR Processing, SAR Tomography, TomoSAR, Tomography, TanDEM-X, TerraSAR-X, Tropical, Forest, India, Spaceborne SAR, X-band. [Abstract] [bibtex-entry]


  4. Matteo Pardini, Marivi Tello, Victor Cazcarra-Bes, K. P. Papathanassiou, and I. Hajnsek. L- and P-Band 3-D SAR Reflectivity Profiles Versus Lidar Waveforms: The AfriSAR Case. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(10):3386-3401, October 2018. Keyword(s): SAR Processing, SAR Tomography, airborne radar, backscatter, forestry, geophysical techniques, optical radar, radar imaging, radar polarimetry, remote sensing by laser beam, remote sensing by radar, synthetic aperture radar, vegetation, vegetation mapping, NASA Land, Ice Sensor lidar datasets, AfriSAR campaign, LVIS data, plot field measurements, ground-to-volume power ratio, physical forest structure descriptors, vertical structure indices, 3-D radar reflectivity, LVIS profiles, P-band 3-D, AfriSAR case, P-band vertical backscattering profiles, synthetic aperture radar tomography, light detection, DLR F-SAR, tropical forest structure types, Forestry, Synthetic aperture radar, Laser radar, Radar tracking, L-band, Vegetation, Forest structure, full waveforms, light detection and ranging (lidar), SAR tomography (TomoSAR), synthetic aperture radar (SAR), tropical forest. [Abstract] [bibtex-entry]


  5. Marivi Tello-Alonso, Victor Cazcarra-Bes, Matteo Pardini, and K. Papathanassiou. Forest Structure Characterization From SAR Tomography at L-Band. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(10):3402-3414, October 2018. Keyword(s): SAR Processing, SAR Tomography, forestry, optical radar, radar imaging, radar interferometry, radar polarimetry, remote sensing by laser beam, remote sensing by radar, synthetic aperture radar, vegetation mapping, 3-D forest monitoring, radar reflectivity, physical forest structure, tomographic SAR data, vertical structure index, inventory data, spatial distribution, experimental tomographic L-band data, vertical structure indices, vertical profiles, forest structure indices, forest structure characterization, SAR tomography, synthetic aperture radar remote sensing configurations, high spatial resolution, temporal resolution, tomographic SAR techniques, correlation coefficients, Forestry, Vegetation, Synthetic aperture radar, Tomography, Indexes, L-band, Forest structure, synthetic aperture radar, tomography. [Abstract] [bibtex-entry]


  6. Marco Lavalle and Scott Hensley. Extraction of Structural and Dynamic Properties of Forests From Polarimetric-Interferometric SAR Data Affected by Temporal Decorrelation. IEEE Trans. Geosci. Remote Sens., 53(9):4752-4767, September 2015. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, Gaussian processes, optical radar, radar imaging, radar interferometry, radar polarimetry, synthetic aperture radar, vegetation mapping, Gaussian-statistic motion model, Harvard Forest, L-band NASA Uninhabited Aerial Vehicle Synthetic Aperture Radar, Laser Vegetation and Ice Sensor, Massachussetts, NASA lidar, RMoG model, RVoG model, USA, canopy elements, canopy motion, forest biomass estimation, forest dynamic property, forest property estimation, forest structural property, forest vertical structure, least square distance minimization, lidar-derived height, multiplicative factors, polarimetric channels, polarimetric-interferometric SAR data, polarimetric-interferometric coherence, polarimetric-interferometric radar image, random-motion-over-ground model, random-volume-over-ground model, temporal coherence, temporal decorrelation effect, tree height, volumetric coherence, volumetric decorrelation effect, wave polarization, Biomass, Coherence, Data models, Decorrelation, Radar, Vegetation, Decorrelation, interferometry, polarimetry. [Abstract] [bibtex-entry]


  7. Esteban Aguilera, Matteo Nannini, and Andreas Reigber. A Data-Adaptive Compressed Sensing Approach to Polarimetric SAR Tomography of Forested Areas. IEEE Geosci. Remote Sens. Lett., 10(3):543-547, May 2013. Keyword(s): SAR Processing, SAR Tomography, Compressed sensing, Compressive sensing, Covariance matrix, Synthetic aperture radar, Tomography, data compression, forestry, radar polarimetry, tomography, vegetation mapping, wavelet transforms, DLR, E-SAR sensor, German Aerospace Center, covariance fitting, data adaptive compressed sensing approach, data adaptive orthonormal basis, forested areas, fully polarimetric L-band data, multiple looks, multiple polarimetric channels, partial scatterers, polarimetric SAR tomography, superresolution imaging, Distributed compressed sensing (DCS), Kronecker basis, polarimetry, wavelets, E-SAR, F-SAR, L-Band, Airborne SAR. [Abstract] [bibtex-entry]


  8. Stefano Tebaldini and Fabio Rocca. Multibaseline Polarimetric SAR Tomography of a Boreal Forest at P- and L-Bands. IEEE Trans. Geosci. Remote Sens., 50(1):232-246, January 2012. Keyword(s): SAR Processing, SAR Tomography, Tomography, ESA campaign BioSAR, Krycklan River catchment, L-band analysis, Northern Sweden, P-band analysis, PolInSAR approach, algebraic synthesis technique, boreal forest, direct volume backscattering process, ground-volume interaction process, multibaseline polarimetric SAR tomography, multipolarimetric data acquisition, polarimetric analysis, remote sensing, single-baseline data analysis, tomographic analysis, tomographic imaging method, vegetation layer analysis, backscatter, data acquisition, forestry, radar interferometry, radar polarimetry, remote sensing by radar, rivers, synthetic aperture radar, tomography, vegetation mapping;. [Abstract] [bibtex-entry]


  9. Maxim Neumann, Laurent Ferro-Famil, and Andreas Reigber. Estimation of Forest Structure, Ground, and Canopy Layer Characteristics From Multibaseline Polarimetric Interferometric SAR Data. IEEE Trans. Geosci. Remote Sens., 48(3):1086-1104, March 2010. Keyword(s): SAR Processing, Multibaseline SAR, Germany, PolInSAR, RVoG, vertical structure, Traunstein test site, airborne SAR, L-band, angular distribution, canopy layer heights, differential extinction, double-bounce ground-trunk interactions, forest layer heights, forest parameter retrieval, forest structure estimation, forest vegetation, ground topography, ground-to-volume ratio, ground-truth measurements, interferometric coherence, particle scattering anisotropy, polarimetric Synthetic Aperture Radar interferometry, polarimetric decomposition, polarimetric scattering media model, polarization orientation randomness, random-volume-over-ground PolInSAR parameter inversion, repeat-pass configuration, root-mean-square error, surface scattering, temporal decorrelation, tree morphology, volume coherency matrices, volumetric canopy, volumetric understory scattering, wave attenuation, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, vegetation mapping;. [Abstract] [bibtex-entry]


  10. Stefano Tebaldini and Andrea Monti-Guarnieri. On the Role of Phase Stability in SAR Multibaseline Applications. IEEE Transactions on Geoscience and Remote Sensing, 48(7):2953-2966, July 2010. Keyword(s): SAR Processing, InSAR, Interferometry, SAR Interferometry, Monte Carlo simulations, Neyman-Pearson theory, P-band, Remningstorp, SAR multibaseline applications, Sweden, atmospheric disturbances, multibaseline synthetic aperture radar interferometry, phase calibration, phase stability, propagation disturbances, residual platform motion, signal-to-noise ratio, statistical analysis, SAR Tomography, Tomography, Monte Carlo methods, geophysical techniques, radar interferometry, remote sensing by radar, statistical analysis, synthetic aperture radar;. [Abstract] [bibtex-entry]


  11. Robert N. Treuhaft, Beverly E. Law, and Gregory P. Asner. Forest Attributes from Radar Interferometric Structure and Its Fusion with Optical Remote Sensing. BioScience, 54(6):561-571, 2004. Keyword(s): SAR Processing, InSAR, SAR Interferometry, Forest, remote sensing, carbon cycle, LiDAR, optical remote sensing, forest ecology, SAR Tomography. [Abstract] [bibtex-entry]


  12. Andreas Reigber, Konstantinos P. Papathanassiou, Shane R. Cloude, and Alberto Moreira. SAR Tomography and Interferometry for the Remote Sensing of Forested Terrain. EUSAR 2000 Special Issue, Frequenz, Zeitschrift fr Telekommunikation (Journal of Telecommunications), 55:119-122, March 2001. Keyword(s): SAR Processing, Tomography, SAR Tomography, Interferometry, Multi-Antenna Interferometry, Multi-Baseline Interferometry, 3D imaging, Airborne SAR, L-Band, E-SAR. [Abstract] [bibtex-entry]


  13. Robert N. Treuhaft and Paul R. Siqueira. Vertical structure of vegetated land surfaces from interferometric and polarimetric radar. Radio Science, 35:141-178, 2000. Keyword(s): SAR Processing, InSAR, Interferometry, Pol-InSAR, Multi-Baseline SAR, Vegetation Parameters, Parameter Extraction, Topography, SAR Tomography. [Abstract] [bibtex-entry]


Conference articles

  1. X. Xu, C. A. Baldi, J. De Bleser, Y. Lei, S. Yueh, and D. Esteban-Fernandez. Multi-Frequency Tomography Radar Observations of Snow Stratigraphy at Fraser During SnowEx. In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, pages 6269-6272, July 2018. Keyword(s): CW radar, FM radar, geophysical signal processing, hydrological techniques, radar polarimetry, radar signal processing, remote sensing by radar, snow, signal processing algorithm, snow free image, snow density, ground snow pit measurement, radar design, snow layer, multiple viewing positions, radar echo, tomography technique, radar channel, three-dimensional variability, fully polarimetric frequency-modulated continuous-wave radar, triple-frequency, 2017 NASA SnowEx campaign, Earth's terrestrial snow-covered regions, multiyear airborne snow campaign, Fraser, snow stratigraphy, multifrequency tomography radar observations, frequency 17.2 GHz, size 30.0 cm, frequency 9.6 GHz, frequency 13.5 GHz, Snow, Tomography, Synthetic aperture radar, Radar polarimetry, Spaceborne radar, Radar imaging, tomography, snow, FMCW radar, SWE. [Abstract] [bibtex-entry]


  2. Stefano Tebaldini and Laurent Ferro-Famil. High resolution three-dimensional imaging of a snowpack from ground-based SAR data acquired at X and Ku Band. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 77-80, July 2013. Keyword(s): SAR Processing, SAR Tomography, Snow, Snowpack, X-band, Ku-band, remote sensing by radar, snow, synthetic aperture radar, 2D synthetic array, 3D imaging, AD 2010 12, Col de Porte, French Alps, GB SAR campaign, Ground Based SAR data, MeteoFrance, ice layer, snowpack, Backscatter, Focusing, Ice, Snow, Synthetic aperture radar. [Abstract] [bibtex-entry]


  3. Stefano Tebaldini and Fabio Rocca. Polarimetric Options for SAR Tomography of Forested Areas. In Proc. of PolInSAR - 4th Int. Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, Frascati, Italy, January 2009. ESA SP-668. Keyword(s): SAR Processing, SAR Tomography, Tomography, E-SAR, P-Band. [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.
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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 16:41:39 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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