Publications about 'forested areas'

Articles in journal or book chapters

1. Francescopaolo Sica, Andrea Pulella, Matteo Nannini, Muriel Pinheiro, and Paola Rizzoli. Repeat-pass SAR interferometry for land cover classification: A methodology using Sentinel-1 Short-Time-Series. Remote Sensing of Environment, 232:111277, 2019. Keyword(s): Land cover classification, SAR, Interferometric coherence, Sentinel-1, Temporal decorrelation. [Abstract] [bibtex-entry]



2. Stefano Tebaldini, Dinh Ho Tong Minh, Mauro Mariotti d'Alessandro, Ludovic Villard, Thuy Le Toan, and Jerome Chave. The Status of Technologies to Measure Forest Biomass and Structural Properties: State of the Art in SAR Tomography of Tropical Forests. Surveys in Geophysics, May 2019. Keyword(s): SAR Processing, SAR Tomography, BIOMASS, Earth Explorer 7, EE7, Airborne radar, Array signal processing, Capon, Capon beamformer, L-band, P-band, SAR processing, SAR tomography, beamforming, Focusing, forestry, interferometry, InSAR, multibaseline, multiple signal classification, MUSIC, polarimetry, Remote Sensing, synthetic aperture radar, SAR, scattering, three-dimensional imaging, 3-D imaging, time-domain back-projection, TDBP, tomography, Vegetation, Spaceborne SAR. [Abstract] [bibtex-entry]



3. Yang Lei, Paul Siqueira, and Robert Treuhaft. A physical scattering model of repeat-pass InSAR correlation for vegetation. Waves in Random and Complex Media, 27(1):129-152, 2017. Keyword(s): SAR Processing, Scattering Model, Interferometry, Correlation, Vegetation. [Abstract] [bibtex-entry]



4. Mariko S. Burgin, Uday K. Khankhoje, Xueyang Duan, and Mahta Moghaddam. Generalized Terrain Topography in Radar Scattering Models. IEEE Transactions on Geoscience and Remote Sensing, 54(7):3944-3952, July 2016. Keyword(s): terrain mapping, topography (Earth), vegetation, N-layered soil structure, evergreen forest, extended boundary condition method, modular model, multilayered multispecies vegetation model, overlying vegetation, radar scattering models, radar wave interactions, terrain topography, topographic slopes, Backscatter, Radar, Radar scattering, Surface topography, Vegetation mapping, Electromagnetic scattering, modeling, radar terrain factors, remote sensing, vegetation. [Abstract] [bibtex-entry]



5. Michael Schmitt, Muhammad Shahzad, and Xiao Xiang Zhu. Reconstruction of individual trees from multi-aspect TomoSAR data. Remote Sensing of Environment, 165:175-185, 2015. Keyword(s): SAR Processing, SAR tomography, Synthetic aperture radar (SAR), Multi-aspect, Trees, 3D reconstruction, Forested areas, Point cloud segmentation. [Abstract] [bibtex-entry]



6. 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]



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. Esteban Aguilera, Matteo Nannini, and Andreas Reigber. Wavelet-Based Compressed Sensing for SAR Tomography of Forested Areas. IEEE Trans. Geosci. Remote Sens., 51(12):5283-5295, December 2013. Keyword(s): SAR Processing, SAR Tomography, Covariance matrix, Estimation, Power distribution, Sensors, Synthetic aperture radar, Tomography, Wavelet transforms, Compressed sensing (CS), compressive sensing, CS, forest structure, synthetic aperture radar (SAR) tomography, wavelets, E-SAR, F-SAR, L-Band, Airborne SAR. [Abstract] [bibtex-entry]



9. Francesco De Zan, Gerhard Krieger, and Paco López-Dekker. On Some Spectral Properties of TanDEM-X Interferograms Over Forested Areas. IEEE Geoscience and Remote Sensing Letters, 10(1):71-75, January 2013. Keyword(s): Analytical models, Coherence, Interferometry, Predictive models, Remote sensing, Synthetic aperture radar, Synthetic aperture radar (SAR) interferometry, Tandem-X. [Abstract] [bibtex-entry]



10. R. Magagi, A. A. Berg, K. Goita, S. Belair, T. J. Jackson, B. Toth, A. Walker, H. McNairn, P. E. O'Neill, Mahta Moghaddam, I. Gherboudj, A. Colliander, M. H. Cosh, Mariko S. Burgin, J. B. Fisher, S. B. Kim, I. Mladenova, N. Djamai, L. P. B. Rousseau, J. Belanger, J. Shang, and A. Merzouki. Canadian Experiment for Soil Moisture in 2010 (CanEx-SM10): Overview and Preliminary Results. IEEE Transactions on Geoscience and Remote Sensing, 51(1):347-363, January 2013. Keyword(s): land surface temperature, remote sensing, soil, vegetation, AD 2010, AD 2010 05 31 to 2010 06, AMSR-E soil moisture, CanEx-SM10, Canada, Canadian experiment, National Snow and Ice Data Center, SMOS data, SMOS mission, SMOS soil moisture product, Saskatchewan, active microwave measurement, agricultural area, airborne L-band brightness temperatures, airborne L-band radiometer data, airborne platform, boreal forested area, ocean salinity, passive microwave measurement, radio frequency, reflected soil moisture measurements, satellite platform, soil condition, soil ground-based measurements, soil moisture, soil temperature profiles, vegetation characteristics, vegetation condition, Moisture measurement, Satellites, Soil measurements, Soil moisture, Temperature measurement, Vegetation mapping, Agricultural and boreal forested areas, Soil Moisture and Ocean Salinity (SMOS), brightness temperature, soil moisture, validation. [Abstract] [bibtex-entry]



11. 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]



12. Stefano Tebaldini. Single and Multipolarimetric SAR Tomography of Forested Areas: A Parametric Approach. IEEE Trans. Geosci. Remote Sens., 48(5):2375-2387, May 2010. Keyword(s): SAR Processing, SAR Tomography, Tomography, Forest, Forestry, Fourier spectrum, Remningstorp, Sweden, backscattered powers, covariance matching estimation technique, effective scattering centers, forested areas, multibaseline data, multiple synthetic aperture radar observations, multipolarimetric SAR tomography, multipolarimetric acquisition, parameter estimation, polarimetric data set, radar signal processing, real P-band multibaseline, resolution cell, geophysical signal processing, geophysical techniques, optical tomography, radar polarimetry, synthetic aperture radar;. [Abstract] [bibtex-entry]



13. Stefano Tebaldini. Algebraic Synthesis of Forest Scenarios From Multibaseline PolInSAR Data. IEEE Trans. Geosci. Remote Sens., 47(12):4132-4142, December 2009. Keyword(s): SAR Processing, SAR Tomography, Tomography, E-SAR, P-Band, algebra, geophysical techniques, radar polarimetry, remote sensing by radar, synthetic aperture radar, vegetationBioSAR, E-SAR airborne system, Kronecker products sum, P-band data set, Remningstorp, SAR surveys, Sweden, algebraic synthesis, forest scenarios, forested areas, least square solution, multibaseline PolInSAR data, multipolarimetric multibaseline synthetic aperture radar, single-baseline polarimetric SAR interferometry, statistical uncorrelation, temporal coherence losses, volumetric coherence losses. [Abstract] [bibtex-entry]



14. Othmar Frey, Felix Morsdorf, and Erich Meier. Tomographic Imaging of a Forested Area By Airborne Multi-Baseline P-Band SAR. Sensors, Special Issue on Synthetic Aperture Radar, 8(9):5884-5896, September 2008. Keyword(s): SAR Processing, SAR Tomography, Tomographic Processing, Multi-Baseline SAR, Time-Domain Back-Projection, Back-Projection, E-SAR, P-Band, Forestry. [Abstract] [bibtex-entry]



15. L. Thirion, E. Colin, and C. Dahon. Capabilities of a forest coherent scattering model applied to radiometry, interferometry, and polarimetry at P- and L-band. IEEE Transactions on Geoscience and Remote Sensing, 44(4):849 - 862, April 2006. Keyword(s): L-band, P-band, SAR image, backscattering, electromagnetic study, forest coherent scattering model, forested areas, radar configuration, radar image, radar interferometry, radar polarimetry, radiometry, synthetic aperture radar, temperate forests, tropical forests, backscatter, forestry, microwave measurement, radar imaging, radar polarimetry, radiometry, radiowave interferometry, remote sensing by radar, synthetic aperture radar, vegetation mapping;. [Abstract] [bibtex-entry]



16. A. Reigber and R. Scheiber. Airborne differential SAR interferometry: first results at L-band. IEEE Trans. Geosci. Remote Sens., 41(6):1516-1520, 2003. Keyword(s): SAR Processing, airborne radar, radiowave interferometry, remote sensing by radar, synthetic aperture radar, vegetation mapping, Earth surface, Germany, L-Band, Oberpfaffenhofen test site, agricultural areas, airborne differential SAR interferometry, airborne sensors, atmospheric effects, centimetre-scale deformations, critical region monitoring, data acquisition intervals, forested areas, glacier flows, interferometric repeat-pass mode, landslides, long-term decorrelation, motion compensation, motion errors, phase artifacts, ESAR, Motion Compensation, Interferometric SAR, Interferometry, D-InSAR. [Abstract] [bibtex-entry]



17. Per-Olov Frölind and Lars M. H. Ulander. Digital Elevation Map Generation Using VHF-Band SAR Data in Forested Areas. IEEE Transactions on Geoscience and Remote Sensing, 40(8):1769-1776, August 2002. Keyword(s): SAR Processing, Interferometry, DEM Generation, Time-Domain Back-Projection, Backprojection, Ultra-Wideband SAR, VHF SAR, CARABAS, Airborne SAR. [Abstract] [bibtex-entry]

Conference articles

1. O. Ponce, P. Prats, R. Scheiber, A. Reigber, and A. Moreira. Analysis and optimization of multi-circular SAR for fully polarimetric holographic tomography over forested areas. In Proc. IEEE Int. Geoscience and Remote Sensing Symp. - IGARSS, pages 2365-2368, July 2013. Keyword(s): geophysical image processing, holography, radar imaging, radar polarimetry, synthetic aperture radar, vegetation, 3D resolution, DLR F-SAR sensor, GLRT algorithm, Germany, IRF, Kauf-beuren, L-band, acquisition geometry, anisotropic analysis, forested areas, fully polarimetric holographic tomography, generalized likelihood ratio test, holographic SAR tomograms, impulse response function, incoherent imaging, multicircular SAR analysis, multicircular SAR optimization, polarimetric MCSAR campaign, scatterers, sidelobe suppression, system bandwidth, Apertures, Bandwidth, Geometry, Image resolution, Imaging, Synthetic aperture radar, Anisotropy, compressive sensing (CS), fast factorized back-projection (FFBP), holographic tomography, multi-circular synthetic aperture radar (MCSAR), polarimetric synthetic aperture radar (PolSAR). [bibtex-entry]



2. Othmar Frey, Erich Meier, and Irena Hajnsek. On the sensitivity of measured backscattering properties to variations of incidence angle and baselines in tomographic SAR data. In Proc. Int. Asia-Pacific Conf. on Synthetic Aperture Radar (APSAR), pages 1-4, September 2011. Keyword(s): Airborne radar, Array signal processing, Capon, Capon beamformer, L-band, P-band, SAR processing, SAR tomography, beamforming, Focusing, forestry, interferometry, InSAR, multibaseline, multiple signal classification, MUSIC, polarimetry, Remote Sensing, sensitivity analysis, synthetic aperture radar, SAR, three-dimensional imaging, 3-D imaging, time-domain back-projection, TDBP, tomography, Vegetation. [Abstract] [bibtex-entry]



3. Stefano Tebaldini and Fabio Rocca. On the impact of propagation disturbances on SAR Tomography: Analysis and compensation. In IEEE Radar Conference, pages 1-6, May 2009. Keyword(s): SAR Processing, SAR Tomography, Tomography, PSI, Persistent Scatterer Interferometry, Differential SAR Interferometry. [Abstract] [bibtex-entry]



4. 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]



5. Stefano Tebaldini. Forest SAR tomography: A covariance matching approach. In IEEE Radar Conference, 2008. RADAR '08., pages 1-6, May 2008. Keyword(s): SAR Processing, SAR Tomography, Tomography, E-SAR, P-Band, radar imaging, radar interferometry, radar polarimetry, radar resolution, synthetic aperture radar, tomography, P-band SAR images, covariance matching approach, forest SAR tomography, multipolarimetric channel data, single polarimetric channel data, single target interferometric analysis, synthetic aperture radar interferometry, system resolution cell. [Abstract] [bibtex-entry]



6. Stefano Tebaldini, Fabio Rocca, and A Monti-Guarnieri. Model Based SAR Tomography of Forested Areas. In IEEE International Geoscience and Remote Sensing Symposium, volume 2, pages 593-596, July 2008. Keyword(s): SAR Processing, SAR Tomography, Tomography, E-SAR, P-Band. [Abstract] [bibtex-entry]



7. Othmar Frey, Felix Morsdorf, and Erich Meier. Tomographic Processing of Multi-Baseline P-Band SAR Data for Imaging of a Forested Area. In Proc. IEEE Int. Geosci. Remote Sens. Symp., 2007. Keyword(s): SAR Processing, SAR Tomography, Tomographic Processing, Multi-Baseline SAR, Time-Domain Back-Projection, Back-Projection, E-SAR, P-Band, Forestry. [Abstract] [bibtex-entry]

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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.

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