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Publications about 'vegetation mapping'

Articles in journal or book chapters

  1. G. H. X. Shiroma and M. Lavalle. Digital Terrain, Surface, and Canopy Height Models From InSAR Backscatter-Height Histograms. IEEE Transactions on Geoscience and Remote Sensing, 58(6):3754-3777, June 2020. Keyword(s): backscatter, forestry, optical radar, radar imaging, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, vegetation, vegetation mapping, digital terrain, canopy height models, InSAR backscatter-height histogram, interferometric synthetic aperture radar backscatter-height histograms, single-look backscatter measurements, InSAR phase height, InSAR histogram, LiDAR waveforms, ground topography, full-polarimetric L-band uninhabited aerial vehicle synthetic aperture radar data, forest height, Histograms, Laser radar, Forestry, Vegetation mapping, Backscatter, Synthetic aperture radar, Digital elevation models (DEMs), forest height, interferometry, L-band, polarimetric synthetic aperture radar (SAR) interferometry (PolInSAR), polarimetry, SAR. [Abstract] [bibtex-entry]


  2. Albert R. Monteith and Lars M. H. Ulander. Temporal Survey of P- and L-Band Polarimetric Backscatter in Boreal Forests. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(10):3564-3577, October 2018. Keyword(s): SAR Tomography, backscatter, radar imaging, radar polarimetry, remote sensing by radar, spaceborne radar, synthetic aperture radar, vegetation mapping, temporal survey, L-band polarimetric backscatter, boreal forests, environmental conditions, seasonal variations, backscattered radar signal, biomass retrieval scheme, synthetic aperture radar data, electromagnetic scattering mechanisms, biomass estimation algorithms, L-band SAR missions, temporal changes, HV-polarized P, L-band radar backscatter, boreal forest site, environmental parameters, mature Norway spruce, above-ground biomass, approximately 250 tons/ha, BorealScat tower-based scatterometer, L-band backscatter, HH/VV backscatter ratio, average backscatter, double-bounce scattering, severe temporal decorrelation, P-band temporal coherence, mass 250.0 ton, time 5.0 min, noise figure 4.0 dB to 10.0 dB, Synthetic aperture radar, L-band, Backscatter, Biomass, Antenna arrays, Coherence, Backscatter, boreal forest, L-band, P-band, synthetic aperture radar (SAR), temporal coherence, time series. [Abstract] [bibtex-entry]


  3. 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]


  4. 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]


  5. 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]


  6. Mariko S. Burgin and Jakob J. van Zyl. Analysis of Polarimetric Radar Data and Soil Moisture From Aquarius: Towards a Regression-Based Soil Moisture Estimation Algorithm. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(8):3497-3504, August 2016. Keyword(s): Backscatter, Data models, Estimation, L-band, Radar, Soil moisture, Vegetation mapping, Moisture, polarimetric radar, soil, synthetic aperture radar (SAR), time series. [Abstract] [bibtex-entry]


  7. S. Zwieback and I. Hajnsek. Influence of Vegetation Growth on the Polarimetric Zero-Baseline DInSAR Phase Diversity ---Implications for Deformation Studies. IEEE_J_GRS, 54(5):3070-3082, May 2016. Keyword(s): crops, geophysical techniques, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, L-band zero-baseline data set, agricultural crop, barley, crop type, deformation study, differential SAR interferometry, displacement estimation, growing season, in situ observed biomass, maize, polarimetric DInSAR phase diversity, polarimetric coherence region, polarization diversity, sugar beet, synthetic aperture radar, vegetation canopy, vegetation effect, vegetation growth effect, wheat, zero-baseline DInSAR phase diversity, Coherence, Interferometry, Synthetic aperture radar, Systematics, Vegetation, Vegetation mapping, Birefringence, radar interferometry, radar remote sensing, synthetic aperture radar, vegetation. [bibtex-entry]


  8. Astor T. Caicoya, Matteo Pardini, Irena Hajnsek, and Konstantinos P. Papathanassiou. Forest Above-Ground Biomass Estimation From Vertical Reflectivity Profiles at L-Band. IEEE Geosci. Remote Sens. Lett., 12(12):2379-2383, December 2015. Keyword(s): SAR Processing, SAR Tomography, L-band, Capon, forestry, vegetation mapping, L-band reflectivity profiles, SAR tomography, forest above-ground biomass estimation, forest stand densities, height measurements, root-mean-square error, vertical forest structure information, vertical radar reflectivity profiles, vertical reflectivity profiles, Biomass, Estimation, Image color analysis, L-band, Remote sensing, Synthetic aperture radar, Forest allometry, L-band, forest biomass, synthetic aperture radar (SAR) tomography, vertical forest structure, vertical reflectivity profiles. [Abstract] [bibtex-entry]


  9. 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]


  10. Yu Morishita and Ramon F. Hanssen. Temporal Decorrelation in L-, C-, and X-band Satellite Radar Interferometry for Pasture on Drained Peat Soils. IEEE Trans. Geosci. Remote Sens., 53(2):1096-1104, February 2015. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, geophysical signal processing, land use, radar interferometry, remote sensing by radar, soil, synthetic aperture radar, terrain mapping, vegetation, vegetation mapping, ALOS-2 satellite, Advanced Land Observation Satellite mission, C-band SAR observations, C-band satellite radar interferometry, Envisat mission, European Remote Sensing Satellite mission, L-band SAR observations, L-band satellite radar interferometry, RADARSAT-2 mission, Sentinel-1 satellite, TerraSAR-X mission, X-band SAR observations, X-band satellite radar interferometry, a priori assessment, actual land use, climatological circumstances, coherence estimation window sizes, coherence levels, coherent information, coherent signal, drained peat soils, frequency function, generic models, interferograms, interferometric applications, nonurban areas, optimal data sets, pasture, repeat intervals, repeat orbits, satellite missions, soil types, synthetic aperture radar interferometry, temporal decorrelation model, temporal dynamics, vegetation types, Coherence, Decorrelation. [Abstract] [bibtex-entry]


  11. Maciej J. Soja, H. Persson, and Lars M. H. Ulander. Estimation of Forest Height and Canopy Density From a Single InSAR Correlation Coefficient. IEEE Geosci. Remote Sens. Lett., 12(3):646-650, March 2015. Keyword(s): digital elevation models, geophysical image processing, parameter estimation, radar interferometry, remote sensing by radar, synthetic aperture radar, vegetation mapping, AD 2011 to 2013, VV-polarized bistatic-interferometric TanDEM-X image pairs, canopy density, forest height estimation, hemiboreal test site Remningstorp, high-resolution digital terrain model, single InSAR correlation coefficient, southern Sweden, synthetic aperture radar, two-level model, vegetation, Backscatter, Coherence, Laser radar, Remote sensing, Synthetic aperture radar, Time division multiplexing, Vegetation, Canopy density, TanDEM-X, forest height, interferometric model, interferometry, synthetic aperture radar (SAR), two-level model (TLM). [Abstract] [bibtex-entry]


  12. S. B. Kim, Mahta Moghaddam, L. Tsang, Mariko S. Burgin, X. Xu, and E. G. Njoku. Models of L-Band Radar Backscattering Coefficients Over Global Terrain for Soil Moisture Retrieval. IEEE Transactions on Geoscience and Remote Sensing, 52(2):1381-1396, February 2014. Keyword(s): Maxwell equations, permittivity, remote sensing by radar, soil, time series, vegetation mapping, L-band radar backscattering coefficient models, Maxwell equations, RMS height, VWC, accurate soil moisture inversion, airborne data, airborne observation, bare surface, co-pol RMS errors, corn crop, datacube errors, dielectric soil constant, distorted Born approximation framework, double-bounce reflectivity, double-bounce volume-surface interaction, empirical formulae, empirical parameters, fast soil moisture inversion, field-based radar data, global land surface, global terrain, grass fields, in situ observation, independent spaceborne phased array type L-band synthetic aperture radars, input parameters, international geosphere-biosphere programme scheme, land surface class simulation, lookup tables, major crops, mean difference range, numerical solutions, physical model outputs, real-time soil moisture inversion, rice crop, shrub, single scatterer, soil moisture active passive mission data, soil moisture retrieval, soil surface root mean square, sophisticated forward model direct inversion, soybean crop, spaceborne Aquarius scatterometer data, surface scattering, theoretical models. [Abstract] [bibtex-entry]


  13. 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]


  14. 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]


  15. Alireza Tabatabaeenejad, Mariko S. Burgin, and Mahta Moghaddam. Potential of L-Band Radar for Retrieval of Canopy and Subcanopy Parameters of Boreal Forests. IEEE Transactions on Geoscience and Remote Sensing, 50(6):2150-2160, June 2012. Keyword(s): calibration, data analysis, forestry, remote sensing by radar, simulated annealing, soil, vegetation mapping, AD 2010 06, Jet Propulsion Laboratory, L-band radar, National Aeronautics and Space Administration, SMAP mission, Uninhabited Aerial Vehicle Synthetic Aperture Radar, absolute retrieval error analysis, calibration method, canopy parameter retrieval, central Canada boreal forests, discrete scatterer radar model, forest structure, forward scattering model, global optimization scheme, inversion method, old black spruce site, old jack pine forests, optimization algorithm, optimization problem, relative retrieval error, scattering mechanisms, simulated annealing, soil moisture information, subcanopy parameter retrieval, surface soil moisture retrieval, synthetic data, vegetation parameters, young jack pine forests, Backscatter, Dielectric constant, L-band, Radar, Scattering, Soil moisture, Vegetation mapping, Allometric relationships, Canadian Experiment for Soil Moisture in 2010 (CanEx-SM10), L-band radar, Soil Moisture Active and Passive (SMAP), boreal forest, canopy, inverse problem, microwave scattering. [Abstract] [bibtex-entry]


  16. 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]


  17. Stefano Tebaldini and Andrea Monti Guarnieri. Methods and Performances for Multi-Pass SAR Interferometry, chapter 18, pages 329-356. InTech, 2010. Keyword(s): SAR Processing, Modelling Interferogram Stacks, PSI, Persistent Scatterer Interferometry, Differential SAR Interferometry, D-InSAR, InSAR, SAR Interferometry, Interferometry, Decorrelation, Temporal Decorrelation, C-band measurement, DInSAR, ERS-1 data, Italy, Rome, agricultural areas, differential interferometric SAR, distributed targets, geometrical decorrelation, interferogram stack modeling, permanent scatterers, progressive ground motion, progressively decorrelating targets, sinusoidal ground motion, synthetic aperture radar interferometry, temporal decorrelation, radiowave interferometry, remote sensing by radar, synthetic aperture radar, vegetation mapping;. [Abstract] [bibtex-entry]


  18. G. Margarit, J. J. Mallorqui, and L. Pipia. Polarimetric Characterization and Temporal Stability Analysis of Urban Target Scattering. IEEE_J_GRS, 48(4):2038-2048, April 2010. Keyword(s): geophysical image processing, radar polarimetry, synthetic aperture radar, vegetation mapping, GRaphical Electromagnetic Computing SAR data, RADARSAT-2, TerraSAR-X, geometrical configuration, geometry-scattering, high resolution images, land classification, nonprobabilistic models, polarimetric capabilities, polarimetric characterization, polarimetric-dispersion properties, quasideterministic scattering behavior, synthetic aperture radar images, temporal stability analysis, urban target scattering, urban-image postprocessing, Analytical models, Computational modeling, Electromagnetic modeling, Electromagnetic scattering, Geometry, Image analysis, Radar scattering, Solid modeling, Stability analysis, Synthetic aperture radar, Polarimetry, synthetic aperture radar (SAR) simulation, urban scattering. [bibtex-entry]


  19. 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]


  20. Meng Wei and David T. Sandwell. Decorrelation of L-Band and C-Band Interferometry Over Vegetated Areas in California. IEEE Trans. Geosci. Remote Sens., 48(7):2942-2952, July 2010. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, Earth crust, faulting, geomorphology, radar interferometry, remote sensing by radar, synthetic aperture radar, vegetation mapping, C-band European Remote Sensing Satellite interferograms, Coast Range area, ERS interferogram, Imperial Valley, L-band Advanced Land Observation Satellite interferograms, Northern California forests, Parkfleld, San Andreas Fault system, Southern California, crustal deformation, decorrelation behavior, decorrelation time, fault creep, interferometric synthetic aperture radar, interseismic deformation, local uplifting signal, near-fault interseismic deformation, sandy surfaces, seasonal acquisitions, signal-to-noise ratio, spatial baseline, spatial baseline lost correlation, temporal baseline, temporal baseline lost correlation, vegetated areas, Correlation, crustal deformation, interferometry, synthetic aperture radar (SAR). [Abstract] [bibtex-entry]


  21. Scott Goetz, Alessandro Baccini, Nadine Laporte, Tracy Johns, Wayne Walker, Josef Kellndorfer, Richard Houghton, and Mindy Sun. Mapping and monitoring carbon stocks with satellite observations: a comparison of methods. Carbon Balance and Management, 4(1):2, 2009. Keyword(s): Carbon Balance, Carbon stock, DESDynl mission, Biomass mission, biomass, ecosystem function, ecosystem structure, integrated L-band InSAR, Lidar, vegetation structure, optical, synthetic aperture radar, vegetation mapping. [Abstract] [bibtex-entry]


  22. Fabio Rocca. Modeling Interferogram Stacks. IEEE Trans. Geosci. Remote Sens., 45(10):3289-3299, October 2007. Keyword(s): SAR Processing, PSI, Persistent Scatterer Interferometry, Differential SAR Interferometry, D-InSAR, InSAR, SAR Interferometry, Interferometry, Decorrelation, Temporal Decorrelation, C-band measurement, DInSAR, ERS-1 data, Italy, Rome, agricultural areas, differential interferometric SAR, distributed targets, geometrical decorrelation, interferogram stack modeling, permanent scatterers, progressive ground motion, progressively decorrelating targets, sinusoidal ground motion, synthetic aperture radar interferometry, temporal decorrelation, radiowave interferometry, remote sensing by radar, synthetic aperture radar, vegetation mapping;. [Abstract] [bibtex-entry]


  23. P. M. L. Drezet and S. Quegan. Environmental effects on the interferometric repeat-pass coherence of forests. IEEE_J_GRS, 44(4):825-837, April 2006. Keyword(s): backscatter, dielectric properties, forestry, radiowave interferometry, remote sensing by radar, synthetic aperture radar, vegetation mapping, C-band one-day tandem coherence measurement, SAR, dielectric backscattering coefficient, environmental effects, forest canopy coherence, interferometric repeat-pass coherence, moisture conditions, moisture fluctuations, soil moisture, soil-vegetation-atmosphere transfer model, synthetic aperature radar, vegetation, wind conditions, Backscatter, Coherence, Coupled mode analysis, Dielectric measurements, Fluctuations, Moisture measurement, Predictive models, Satellites, Soil measurements, Wind, Coherence, dielectric, dynamic, forest, multitemporal, synthetic aperature radar (SAR), vegetation. [bibtex-entry]


  24. J.L. Gomez-Dans, S. Quegan, and J.C. Bennett. Indoor C-band polarimetric interferometry observations of a mature wheat canopy. IEEE Trans. Geosci. Remote Sens., 44(4):768-777, April 2006. Keyword(s): SAR Processing, SAR Tomography, Tomography, 2D scan, HH polarization, VH polarization, VV polarization, crop height retrieval, ground-based synthetic aperture radar, incidence angle, indoor C-band polarimetric interferometry observation, polarimetric coherence optimization, polarimetric tomography, polarization synthesis, unconstrained coherence optimization, vegetation monitoring, wheat canopy, crops, radar polarimetry, radiowave interferometry, remote sensing by radar, synthetic aperture radar, vegetation mapping;. [Abstract] [bibtex-entry]


  25. 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]


  26. 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, synthetic aperture radar, ESAR, Motion Compensation, Interferometric SAR, Interferometry, D-InSAR. [Abstract] [bibtex-entry]


  27. Paul A. Rosen, Scott Hensley, Ian R. Joughin, Fuk K. Li, Soren N. Madsen, Ernesto Rodriguez, and Richard M. Goldstein. Synthetic aperture radar interferometry. Proceedings of the IEEE, 88(3):333-382, March 2000. Keyword(s): Review Paper, SAR Processing, SAR Interferometry, differential SAR Interferometry, DInSAR, InSAR, deformation mapping, surface deformation, surface displacement, cartography, geodesy, geophysical techniques, radiowave interferometry, remote sensing by laser beam, surface topography measurement, synthetic aperture radar, cartography, coherent radar signal phase, geodesy, land cover characterization, natural hazards, radar remote sensing, surface topography, synthetic aperture radar interferometry, Extraterrestrial measurements, Geophysical measurements, Hazards, Radar antennas, Radar imaging, Remote sensing, Spaceborne radar, Surface topography, Synthetic aperture radar interferometry, Vegetation mapping. [Abstract] [bibtex-entry]


  28. K. Sarabandi and Y.-C. Lin. Simulation of interferometric SAR response for characterizing the scattering phase center statistics of forest canopies. IEEE Trans. Geosci. Remote Sens., 38(1):115-125, January 2000. Keyword(s): InSAR, Monte Carlo simulation, SAR, backscatter, coherent scattering model, equivalent scatterer, forest, forest canopy, forestry, fractal, geophysical measurement technique, interferometric SAR, physical parameters, radar remote sensing, radar theory, scatterer collection, scattering phase center statistics, simulation, synthetic aperture radar, vegetation mapping, Monte Carlo methods, backscatter, forestry, fractals, geophysical techniques, radar cross-sections, radar theory, remote sensing by radar, synthetic aperture radar, vegetation mapping;. [Abstract] [bibtex-entry]


  29. S.R. Cloude, J. Fortuny, J.M. Lopez-Sanchez, and A.J. Sieber. Wide-band polarimetric radar inversion studies for vegetation layers. IEEE Transactions on Geoscience and Remote Sensing, 37(5):2430-2441, September 1999. Keyword(s): backscatter, forestry, geophysical techniques, image classification, radar cross-sections, radar polarimetry, remote sensing by radar, synthetic aperture radar, vegetation mappingbackscatter, canopy, complex volume scattering, entropy-alpha target decomposition scheme, ficus tree, fig, fir tree, forest, forestry, geophysical measurement technique, image classification scheme, inversion algorithm, parametric inversion, polarimetric radar inversion, radar polarimetry, radar scattering, radar theory, random particle cloud model, small anisotropic particles, two-parameter model, vegetation layer, vegetation mapping, wide band method. [Abstract] [bibtex-entry]


  30. R. N. Treuhaft and S. R. Cloude. The structure of oriented vegetation from polarimetric interferometry. IEEE Trans. Geosci. Remote Sens., 37(5):2620-2624, September 1999. Keyword(s): SAR Processing, Forest, Forest parameters, biomass, forest canopy, forestry, geophysical measurement technique, height, oriented object, oriented vegetation, oriented-vegetation volume, polarimetric interferometry, radar polarimetry, radar remote sensing, randomly oriented volume, single-baseline polarimetric interferometry, underlying topography, vegetated land surface, vegetation mapping, geophysical techniques, radar polarimetry, remote sensing by radar, vegetation mapping. [Abstract] [bibtex-entry]


  31. Anthony Freeman and Stephen L. Durden. A three-component scattering model for polarimetric SAR data. IEEE Trans. Geosci. Remote Sens., 36(3):963-973, May 1998. Keyword(s): SAR Processing, Polarimetric Decomposition, Freeman-Durden Decomposition, Bragg scatter, backscatter, canopy scatter, composite scattering model, double-bounce scatter, flooding, forest, geophysical measurement technique, inundation, land surface, orthogonal surface, polarimetric SAR, radar polarimetry, radar remote sensing, radar scattering, randomly oriented dipoles, rough surface, synthetic aperture radar, terrain mapping, three-component scattering model, tropical rain forest, vegetation mapping, backscatter, forestry, geophysical techniques, radar cross-sections, radar polarimetry, radar theory, remote sensing by radar, synthetic aperture radar;. [Abstract] [bibtex-entry]


  32. H. Israelsson, L. M. H. Ulander, J. L. H. Askne, J. E. S. Fransson, P.-O. Frölind, A. Gustavsson, and H. Hellsten. Retrieval of forest stem volume using VHF SAR. IEEE Trans. Geosci. Remote Sens., 35(1):36-40, January 1997. Keyword(s): SAR Processing, Forest, Forest parameters, biomass, 28 to 60 MHz, CARABAS, HF radar, Oland, SAR, Sweden, VHF radar, airborne radar, backscattering coefficient, biomass, coherent all radio band sensing, deciduous mixed forest, dense forest, discrimination, forest stem volume, forestry, geophysical measurement technique, horizontal dipole array, radar imaging, radar remote sensing, radar scattering, tree trunk, vegetation mapping, wood, airborne radar, forestry, geophysical techniques, radar cross-sections, radar imaging, remote sensing by radar, synthetic aperture radar. [Abstract] [bibtex-entry]


  33. J.O. Hagberg, L. M. H. Ulander, and J. Askne. Repeat-pass SAR interferometry over forested terrain. IEEE Trans. Geosci. Remote Sens., 33(2):331-340, March 1995. Keyword(s): SAR Processing, SAR interferometry, forest, forested terrain, forestry, general system model, geophysical method, interferometry, land surface topography, measurement technique, radar remote sensing, repeat pass method, scene scattering, synthetic aperture radar, topographic map, vegetation mapping, forestry, geophysical techniques, radar applications, radar imaging, remote sensing, remote sensing by radar, synthetic aperture radar, topography (Earth). [Abstract] [bibtex-entry]


  34. Marc L. Imhoff. Radar backscatter and biomass saturation: ramifications for global biomass inventory. IEEE Transactions on Geoscience and Remote Sensing, 33(2):511-518, March 1995. Keyword(s): SAR Processing, backscatter, forestry, geophysical techniques, radar applications, radar cross-sections, radar imaging, remote sensing by radar, synthetic aperture radar, 0.44 to 5.3 GHz, C-band, Hawaii, L-band, P-band, SAR, UHF SHF microwave, biomass saturation, biome, broadleaf evergreen forest, canopy, coniferous forest, forestry, geophysical measurement technique, global biomass inventory, land surface, phytomass, radar backscatter, radar remote sensing, synthetic aperture radar, vegetated surface, vegetation mapping, Space-borne SAR, SAR Tomography, Tomography. [Abstract] [bibtex-entry]


Conference articles

  1. Paco López-Dekker, Francesco De Zan, Thomas Borner, Marwan Younis, K. Papathanassiou, T. Guardabrazo, V. Bourlon, S. Ramongassie, N. Taveneau, Lars Ulander, D. Murdin, N. Rogers, Shaun Quegan, and R. Franco. BIOMASS end-to-end mission performance simulator. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 4249-4252, July 2011. Keyword(s): BIOMASS, P-band synthetic aperture radar, end-to-end mission performance simulator, fully quad-polarized image data acquistion, interferometric mode, module functional description, system architecture, data acquisition, radar imaging, radar interferometry, radar polarimetry, remote sensing by radar, vegetation, vegetation mapping. [Abstract] [bibtex-entry]


  2. A. Donnellan, P. Rosen, J. Graf, A. Loverro, A. Freeman, R. Treuhaft, R. Oberto, Marc Simard, Eric J. Rignot, R. Kwok, Xiaoqing Pi, J.B. Blair, W. Abdalati, J. Ranson, H. Zebker, B. Hager, H. Shugart, M. Fahnestock, and R. Dubayah. Deformation, Ecosystem Structure, and Dynamics of Ice (DESDynI). In Proc. IEEE Aerospace Conf., pages 1-13, March 2008. Keyword(s): DESDynl mission, National Research Council Earth Science Decadal Survey, Earth Science Applications from Space, biomass, cryosphere objectives, ecosystem function, ecosystem structure, ice dynamics, integrated L-band InSAR, multibeam Lidar mission, solid Earth, surface deformation, topography, vegetation structure, deformation, optical radar, synthetic aperture radar, topography (Earth), vegetation mapping. [Abstract] [bibtex-entry]


  3. Howard Zebker, Pius Shankar, and Andy Hooper. InSAR Remote Sensing Over Decorrelating Terrains: Persistent Scattering Methods. In IEEE Radar Conference, pages 717-722, April 2007. Keyword(s): SAR Processing, decorrelation, Temporal Decorrelation, filtering theory, radar interferometry, radar signal processing, remote sensing by radar, synthetic aperture radar, terrain mapping, topography (Earth), vegetation mapping, InSAR remote sensing, San Francisco Bay segments, bare-Earth topography, decorrelation, detection theory, displacement measurement, echoes, filtering algorithms, information theoretic estimation, interferometric synthetic aperture radar, motion mapping, persistent scatterer detection, persistent scattering method, phase unwrapping, radar images, radar signals, spaceborne satellite data, stable true-ground scattering point identification, subtle surface motion mapping, surface deformation, terrain mapping, vegetation mapping, visual geodetic technique, Decorrelation, Displacement measurement, Radar imaging, Radar remote sensing, Radar scattering, Remote sensing, Spaceborne radar, Synthetic aperture radar interferometry, Terrain mapping, Vegetation mapping, InSAR, persistent scattering, radar remote sensing, surface deformation. [Abstract] [bibtex-entry]


  4. S. Guillaso, A. Reigber, and L. Ferro-Famil. Evaluation of the ESPRIT approach in polarimetric interferometric SAR. In Proc. Geosci. Remote Sens. Symp., volume 1, pages 1-4, 2005. Keyword(s): SAR Processing, SAR Tomography, Tomography, airborne radar, data acquisition, radar imaging, radar polarimetry, radiowave interferometry, remote sensing by radar, stereo image processing, synthetic aperture radar, tomography, vegetation mapping, 3D images, ESPRIT approach, German Aerospace Center, SAR tomography, airborne L-band repeat-pass interferometric data, data acquisition, experimental airborne SAR, polarimetric interferometric SAR, tomographic image, vegetation, volumetric area, E-SAR. [Abstract] [bibtex-entry]


  5. Andreas Reigber, Maxim Neumann, Stephane Guillaso, Stefan Sauer, and Laurent Ferro-Famil. Evaluating PolInSAR parameter estimation using tomographic imaging results. In Proc. European Radar Conf., pages 189-192, 2005. Keyword(s): SAR Processing, SAR Tomography, Tomography, forestry, matrix algebra, radar imaging, radar polarimetry, radiowave interferometry, remote sensing by radar, synthetic aperture radar, tomography, vegetation mapping, PolInSAR parameter estimation, canopy, forest height, ground topography estimation, polarimetric SAR interferometry, tomographic imaging results. [Abstract] [bibtex-entry]


  6. M. Rombach and Joăo Moreira. Description and applications of the multipolarized dual band OrbiSAR-1 InSAR sensor. In Radar Conference, 2003. Proceedings of the International, volume 5, pages 245-250, 2003. Keyword(s): electromagnetic wave reflection, electromagnetic wave scattering, radar polarimetry, remote sensing by radar, Spaceborne SAR, synthetic aperture radar, terrain mapping, topography (Earth), vegetation mapping, OrbiSAR-1 InSAR sensor, area mapping, bald earth height information, biomass, canopy top foliage scattering, digital elevation, forest-classification, ground elevation, interferometric SAR, multipolarized dual band InSAR sensor, permanent cloud covered tropical areas, soil reflection, surface elevation, topographic maps, trunk reflection, vegetation density, vegetation height, vegetation/microwave interaction. [Abstract] [bibtex-entry]


  7. H. Rudolf, D. Tarchi, and A.J. Sieber. Combination of linear and circular SAR for 3-D features. In Geoscience and Remote Sensing, 1997. IGARSS '97. 'Remote Sensing - A Scientific Vision for Sustainable Development'., 1997 IEEE International, volume 4, pages 1551-1553, 1997. Keyword(s): SAR Processing, SAR Tomography, Tomography, geophysical techniques, radar imaging, remote sensing by radar, synthetic aperture radar, InSAR, LISA, buried object detection, circular SAR, circular aperture, geophysical measurement technique, ground penetrating radar, interferometric SAR, land surface, linear SAR, linear SAR outdoor system, mine detection, radar imaging, radar remote sensing, terrain mapping, three dimensional feature, vegetation mapping. [Abstract] [bibtex-entry]


  8. A. Beaudoin, N. Stussi, D. Troufleau, N. Desbois, L. Piet, and M. Deshayes. On the use of ERS-1 SAR data over hilly terrain: Necessity of radiometric corrections for thematic applications. In Geoscience and Remote Sensing Symposium, 1995. IGARSS '95, volume 3, pages 2179-2182, 1995. Keyword(s): SAR Processing, SAR Geocoding, Geocoding, Radiometric Calibration, Radiometric Correction, Calibration, DEM, ERS-1, Mediterranean forest, acquisition geometry, empirical cosine model, geophysical measurement technique, geophysical techniques, hilly terrain mapping, land surface, quantitative use, radar imaging, radar remote sensing, radiometric correction, remote sensing by radar, spaceborne radar, synthetic aperture radar, thematic applications, vegetation mapping. [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.




Last modified: Mon Feb 1 16:41:38 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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