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Publications about 'spatial distribution'

Thesis

  1. Pooja S. Mahapatra. Geodetic network design for InSAR: Application to ground deformation monitoring. PhD thesis, TU Delft, 2015. Keyword(s): SAR Processing, InSAR Persistent Scatterer Interferometry, PSI, GNSS, Transponder, Geodetic Network. [Abstract] [bibtex-entry]


Articles in journal or book chapters

  1. 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]


  2. Pooja S. Mahapatra, Sami Samie Esfahany, and Ramon F. Hanssen. Geodetic Network Design for InSAR. IEEE Trans. Geosci. Remote Sens., 53(7):3669-3680, July 2015. Keyword(s): SAR Processing, InSAR, GNSS, persistent scatterer interferometry, covariance matrices, deformation, geodesy, geomorphology, geophysical techniques, network theory (graphs), radar interferometry, remote sensing by radar, synthetic aperture radar, InSAR measurement, coherent target device deployment, covariance matrices, criterion matrix, deformation signal, densification measurement, geodesic network design methodology, ground deformation measurement, interferometric synthetic aperture radar, network optimization, optimal ground location, Covariance matrices, Deformable models, Geophysical measurements, Redundancy, Synthetic aperture radar, Coherent target, compact active transponder, corner reflector, criterion matrix, economy, geodesy, interferometric synthetic aperture radar (InSAR), network design, precision, reliability. [Abstract] [bibtex-entry]


  3. Maurizio Santoro, André Beaudoin, Christian Beer, Oliver Cartus, Johan E.S. Fransson, Ronald J. Hall, Carsten Pathe, Christiane Schmullius, Dmitry Schepaschenko, Anatoly Shvidenko, Martin Thurner, and Urs Wegmuller. Forest growing stock volume of the northern hemisphere: Spatially explicit estimates for 2010 derived from Envisat {ASAR}. Remote Sensing of Environment, 168:316 - 334, 2015. Keyword(s): Envisat ASAR, Forest, Growing stock volume, Biomass, MODIS Vegetation Continuous Fields, BIOMASAR, Northern hemisphere. [Abstract] [bibtex-entry]


  4. Jean-Michel Martinez and Thuy Le Toan. Mapping of flood dynamics and spatial distribution of vegetation in the Amazon floodplain using multitemporal SAR data. Remote Sensing of Environment, 108(3):209 - 223, 2007. Keyword(s): Wetland, Floodplain, Vegetation, Flood, Temporal dynamic, Radar, Classification. [Abstract] [bibtex-entry]


  5. A. Reigber and A. Moreira. First Demonstration of Airborne SAR Tomography Using Multibaseline L-Band Data. IEEE Transactions on Geoscience and Remote Sensing, 38(5):2142-2152, 2000. Keyword(s): SAR Processing, airborne radar, geophysical techniques, radar imaging, radar polarimetry, remote sensing by radar, synthetic aperture radar, terrain mapping, topography (Earth), InSAR, L-Band, SAR interferometry, SAR Tomography, Tomography, UHF, airborne radar, aperture synthesis, geophysical measurement technique, height ambiguity, land surface, multibaseline imaging geometry, multibaseline method, phase difference, radar imaging, radar polarimetry, radar remote sensing, synthetic aperture radar, terrain mapping, tomographic imaging, topography, undersampled spatial distribution, ESAR. [Abstract] [bibtex-entry]


Conference articles

  1. Federica Bordoni, Marwan Younis, E.M. Varona, and Gerhard Krieger. Adaptive scan-on-receive based on spatial spectral estimation for high-resolution, wide-swath Synthetic Aperture Radar. In Proc. IEEE Int. Geosci. Remote Sens. Symp., volume 1, pages 64-67, July 2009. Keyword(s): SAR Processing, Cramer Rao Lower Bound, Monte Carlo simulations, SCORE, scan-on-receive, Smart Multi-Aperture Radar Techniques, adaptive scan-on-receive, beam steering, high-resolution wide-swath synthetic aperture radar, signal power, spaceborne SMART SAR systems, spatial spectral estimation, beam steering, geophysical techniques, synthetic aperture radar. [Abstract] [bibtex-entry]


Internal reports

  1. Shaun Quegan, Thuy Le Toan, Jérôme Chave, Jorgen Dall, Konstantinos P. Papathanassiou, Fabio Rocca, Lars Ulander, and Mathew Williams. Report for Mission Selection: Biomass. Technical report SP-1324/1 (3 volume series), ESA, Noordwijk, The Netherlands, May 2012. Keyword(s): BIOMASS, BIOMASS MISSION, ESA, European Space Agency, P-Band, Spaceborne SAR, SAR. [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 16:41:15 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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