Publications about 'radar backscatter'

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. 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]

  4. 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]

  5. Alireza Tabatabaeenejad, Mariko S. Burgin, X. Duan, and Mahta Moghaddam. P-Band Radar Retrieval of Subsurface Soil Moisture Profile as a Second-Order Polynomial: First AirMOSS Results. IEEE Transactions on Geoscience and Remote Sensing, 53(2):645-658, February 2015. Keyword(s): hydrological techniques, remote sensing by radar, vegetation, AD 2012 09, AD 2012 10, AirMOSS mission flights, AirMOSS results, Airborne Microwave Observatory of Sub- canopy and Subsurface, Arizona, P-band radar data, Root Mean Squared Error, Walnut Gulch Experimental Watershed, barren terrain, discrete scattering model, radar pixel, second-order polynomial, shrubland terrain, subsurface depth function, subsurface soil moisture profile, synthetic radar data, terrain radar backscattering coefficients, vegetated terrain, Atmospheric modeling, Data models, Moisture, Polynomials, Radar, Soil moisture, Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS), discrete scattering model, quadratic function, radar, remote sensing, second-order polynomial, simulated annealing, soil moisture profile. [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. Uday K. Khankhoje, Mariko S. Burgin, and Mahta Moghaddam. On the Accuracy of Averaging Radar Backscattering Coefficients for Bare Soils Using the Finite-Element Method. IEEE Geoscience and Remote Sensing Letters, 11(8):1345-1349, August 2014. Keyword(s): finite element analysis, geophysical techniques, remote sensing by radar, soil, surface roughness, 2-D finite-element method, Gaussian correlated surfaces, Gaussian correlated surfaces possessing behavior, Gaussian type, assumption validity, average coefficients, averaging assumption, averaging radar backscattering coefficient accuracy, backscatter averaging assumption breaks, backscatter averaging assumption validity conditions, bare rough surface assumption validity, bare soils, constitutive homogeneous pixels, ensemble averaged true coefficient computation, exponential type, exponentially correlated surfaces, heterogeneity impact quantification, heterogeneity source, heterogeneous moisture pixels, heterogeneous pixels, heterogeneous roughness pixels, heterogeneous soil moisture, heterogeneous soil roughness, high-contrast pixels, higher cross-pixel coherent interactions, longest correlation lengths, soil moisture, soil surface roughness, surface correlation type, surface variety computed averages, Backscatter, Correlation, Radar, Rough surfaces, Soil moisture, Surface roughness, Electromagnetic scattering by rough surfaces, finite-element methods (FEMs). [Abstract] [bibtex-entry]

  8. 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]

  9. B. Minchew, C.E. Jones, and B. Holt. Polarimetric Analysis of Backscatter From the Deepwater Horizon Oil Spill Using L-Band Synthetic Aperture Radar. Geoscience and Remote Sensing, IEEE Transactions on, 50(10):3812-3830, October 2012. Keyword(s): AD 2010 06 23, Bragg scattering mechanism, DWH slick, Gulf of Mexico, L-band synthetic aperture radar, backscatter polarimetric analysis, coherency matrix eigenvalue, deepwater horizon, deepwater horizon oil spill, dielectric constant, entropy parameters, fully-polarimetric uninhabited aerial vehicle, ocean wave spectral components, oil slick, oil volumetric concentration, radar backscatter, sea water, slick detection method, substantial variation parameter, surface scattering analysis, synthetic aperture radar data, backscatter, eigenvalues and eigenfunctions, entropy, marine pollution, matrix algebra, ocean chemistry, ocean waves, oceanographic regions, oceanographic techniques, permittivity, radar interferometry, remote sensing by radar, seawater, synthetic aperture radar;. [Abstract] [bibtex-entry]

  10. Mariko S. Burgin, D. Clewley, R. M. Lucas, and Mahta Moghaddam. A Generalized Radar Backscattering Model Based on Wave Theory for Multilayer Multispecies Vegetation. IEEE Transactions on Geoscience and Remote Sensing, 49(12):4832-4845, December 2011. Keyword(s): backscatter, radar polarimetry, remote sensing by radar, vegetation, AIRSAR data, ALOS PALSAR, Advanced Land Observing Satellite, Airborne Synthetic Aperture Radar data, Australia, NASA JPL, NASA Jet Propulsion Laboratory, Phased Arrayed L-band Synthetic Aperture Radar data, Queensland, distorted Born approximation, generalized radar backscattering model, microwave interaction, multilayer multispecies vegetation, polarimetric radar backscattering coefficients, single species discrete scatterer model, soil moisture, structurally complex vegetation, surface model, surface roughness parameterization, two layer crown trunk models, wave theory, wooded savanna sites, Backscatter, Data models, Mathematical model, Scattering, Synthetic aperture radar, Vegetation, Forest scattering, multispecies vegetation, synthetic aperture radar (SAR) backscattering, wave theory. [Abstract] [bibtex-entry]

  11. Dawei Liu, Guoqing Sun, Zhifeng Guo, K.J. Ranson, and Yang Du. Three-Dimensional Coherent Radar Backscatter Model and Simulations of Scattering Phase Center of Forest Canopies. IEEE Trans. Geosci. Remote Sens., 48(1):349-357, January 2010. Keyword(s): 3D coherent radar backscatter model, InSAR signals, SAR interferometric data, canopy height, canopy spatial structure, forest canopies, forest stand, forest structural parameters, ground surface backscattering, interferometric SAR, scattering phase center simulations, synthetic aperture radar, time delay, backscatter, geophysical signal processing, radar interferometry, remote sensing by radar, synthetic aperture radar, vegetation;. [Abstract] [bibtex-entry]

  12. 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]

  13. 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]

  14. Tazio Strozzi and Christian Matzler. Backscattering measurements of alpine snowcovers at 5.3 and 35 GHz. IEEE Transactions on Geoscience and Remote Sensing, 36(3):838-848, May 1998. Keyword(s): backscatter, hydrological techniques, radar cross-sections, radar polarimetry, remote sensing by radar, snow, 35 GHz, 5.3 GHz, AD 1993, AD 1994, AD 1995, AD 1996, Austria, Austrian Alp, C-band, EHF, Ka-band, SHF, Switzerland, hydrology, measurement technique, network-analyzer based scatterometer, radar backscatter, radar polarimetry, radar remote sensing, radar scattering, refrozen crust thickness, snow cover, snowcover, volumetric liquid water content, Backscatter, Frequency, Instruments, Millimeter wave measurements, Performance evaluation, Physics, Polarization, Radar measurements, Snow, Testing. [Abstract] [bibtex-entry]

  15. 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]

  16. M. C. Dobson, F. T. Ulaby, T. LeToan, A. Beaudoin, E. S. Kasischke, and N. Christensen. Dependence of radar backscatter on coniferous forest biomass. IEEE Trans. Geosci. Remote Sens., 30(2):412-415, March 1992. Keyword(s): SAR Processing, Forest, Forest parameters, biomass, C-band, Duke, France, L-band, Landes, North Carolina, P-band, SAR data, United States, age, coniferous forest biomass, maritime pines, plantations, radar backscatter, remote sensing, backscatter, ecology, forestry, remote sensing by radar. [Abstract] [bibtex-entry]

  17. A. Freeman. SAR calibration: an overview. IEEE Trans. Geosci. Remote Sens., 30(6):1107-1121, November 1992. Keyword(s): calibration, polarimetry, radiometry, reviews, synthetic aperture radar, airborne data, Earth surface, synthetic-aperture radar, spaceborne SAR image data, radar backscatter, image quality, radiometric calibration, polarimetric radar calibration, phase calibration, interferometric SAR, Calibration, Spaceborne radar, Synthetic aperture radar, Radar imaging, Radar polarimetry, Radar measurements, Backscatter, Image quality, Radiometry, Equations. [Abstract] [bibtex-entry]

  18. Joćo Moreira. A New Method Of Aircraft Motion Error Extraction From Radar Raw Data For Real Time Motion Compensation. IEEE Transactions on Geoscience and Remote Sensing, 28(4):620-626, July 1990. Keyword(s): SAR Processing, Autofocus, Motion Compensation, MoComp, Residual Motion Errors, Airborne SAR, ESAR. [Abstract] [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. O. Ponce, P. Prats, R. Scheiber, A. Reigber, and A. Moreira. First demonstration of 3-D holographic tomography with fully polarimetric multi-circular SAR at L-band. In Proc. IEEE Int. Geoscience and Remote Sensing Symp. - IGARSS, pages 1127-1130, July 2013. Keyword(s): airborne radar, array signal processing, compressed sensing, geophysical image processing, holography, optical focusing, optical tomography, radar imaging, radar polarimetry, radar resolution, synthetic aperture radar, transient response, 3D holographic tomography, 3D polarimetric holographic tomogram, 3D sidelobe reduction, BF, CS, DLR F-SAR airborne system, Earth analysis, IRF, Kaufbeuren Germany, L-band, MCSAR, beamforming, coherent 3D radar backscattering, compressive sensing, dry soil, forested area, fully polarimetric multicircular SAR, ice, impulse response function, multiangular measurement acquisition, synthetic aperture radar, temporal decorrelation, volume scatterer, Apertures, Bandwidth, Image resolution, Imaging, L-band, Synthetic aperture radar, Vegetation, Circular synthetic aperture radar (CSAR), compressive sensing (CS), fast factorized back-projection (FFBP), holographic tomography, polarimetric synthetic aperture radar (PolSAR). [bibtex-entry]

  4. David Small, Erich Meier, and Daniel Nüesch. Robust radiometric terrain correction for SAR image comparisons. In IGARSS '04, International Geoscience and Remote Sensing Symposium, volume 3, pages 1730-1733, 2004. Keyword(s): backscatter, radiometry, remote sensing by radar, terrain mapping, AGP, ENVISAT ASAR images, Earth ellipsoid, Earth rolling terrain, SAR imagery, Switzerland, composite radar map, ideal flat terrain, local antenna gain pattern, mountainous terrain, normalized images, radar backscatter coefficient, radar brightness coefficient, radar equation, radiometric errors, radiometrically calibrated images, robust radar image simulation, robust radiometric terrain correction, robust technique, terrain geocoded images, terrain induced modulations, terrain variations. [Abstract] [bibtex-entry]

  5. G. Connan, H. D. Griffiths, P. V. Brennan, and R. Garello. W-band radar measurements of laboratory water waves. In OCEANS '99 MTS/IEEE. Riding the Crest into the 21st Century, volume 3, pages 1333-1337 vol.3, 1999. Keyword(s): SAR Processing, W-Band, backscatter, ocean waves, oceanographic techniques, radar cross-sections, remote sensing by radar, synthetic aperture radar, 75 to 110 GHz, 94 GHz, EHF, FMCW radar, SAR, W-band, backscattering, internal wave, measurement technique, millimetre wave radar, ocean wave, radar remote sensing, radar scattering, synthetic aperture radar, wave-tank experiment, Chirp modulation, Frequency modulation, Laboratories, Radar antennas, Radar imaging, Radar measurements, Sea surface, Signal resolution, Surface waves, Synthetic aperture radar. [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 16:40:50 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .

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