Publications about 'Forestry'

Books and proceedings

1. Othmar Frey. Synthetic Aperture Radar Imaging in the Time Domain for Nonlinear Sensor Trajectories and SAR Tomography, PhD Thesis. Remote Sensing Series, vol. 59, Remote Sensing Laboratories, University of Zurich, Zurich, Switzerland. 2010. Keyword(s): SAR Processing, SAR Tomography, Tomography, Focusing, Time-Domain Back-Projection, TDBP, Corridor Mapping, Curvilinear SAR, Nonlinear Flight Tracks, Synthetic Aperture Radar (SAR), Remote Sensing, Airborne SAR, Forestry, L-Band, P-Band, Interferometry, InSAR, SAR Interferometry, Polarimetry, PolInSAR, Polarimetric SAR Tomography, Array signal processing, Extended Chirp Scaling, ECS, Mosaicking, Geocoding, Integrated Focusing and Geocoding, Georeferencing, mapping, E-SAR, digital elevation model, Capon, Capon beamformer, beamforming, multibaseline, multiple signal classification, MUSIC, three-dimensional imaging, 3-D imaging, Vegetation. [bibtex-entry]

Articles in journal or book chapters

1. Victor Cazcarra-Bes, Matteo Pardini, Marivi Tello-Alonso, and K. P. Papathanassiou. Comparison of Tomographic SAR Reflectivity Reconstruction Algorithms for Forest Applications at L-band. IEEE Trans. Geosci. Remote Sens., 58(1):147-164, January 2020. Keyword(s): SAR Processing, SAR Tomography, Forestry, Synthetic aperture radar, Image reconstruction, Decorrelation, Estimation, Reconstruction algorithms, Capon beamforming (CB), compressive sensing (CS), forest applications, forest structure, Fourier beamforming (FB), L-band, synthetic aperture radar (SAR), tomography, airborne SAR. [Abstract] [bibtex-entry]



2. 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]



3. 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]



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. Lars M. H. Ulander, Albert R. Monteith, Macej J. Soja, and Leif E. B. Eriksson. Multiport Vector Network Analyzer Radar for Tomographic Forest Scattering Measurements. IEEE Geoscience and Remote Sensing Letters, 15(12):1897-1901, December 2018. Keyword(s): SAR Tomography, BorealScat, antenna arrays, multiport networks, network analysers, radar antennas, radar imaging, S-parameters, tomographic forest scattering measurements, C-band radar, BorealScat, radar tomography, vertical antenna array, vertical scattering distribution, temporal decorrelation, reflected signals, 20-port vector network analyzer, stepped-frequency waveform, 20-element arrays, radar measurements, hemiboreal forest, tomographic imaging capabilities, multiport VNA tomography results, 2-port VNA measurement scheme, multiport vector network analyzer radar, P-band radar, L-band radar, polarimetric time-series measurements, Antenna measurements, Antenna arrays, Forestry, Tomography, Radar, Radar antennas, Switches, BorealScat, forest, polarimetry, radar, scattering, time series, tomography, vector network analyzer (VNA). [Abstract] [bibtex-entry]



7. Victor Cazcarra-Bes, Marivi Tello-Alonso, Rico Fischer, Michael Heym, and Konstantinos Papathanassiou. Monitoring of Forest Structure Dynamics by Means of L-Band SAR Tomography. Remote Sensing, 9(12), 2017. Keyword(s): SAR Processing, SAR Tomography, Forestry, Synthetic aperture radar, Image reconstruction, Decorrelation, Estimation, forest applications, forest structure, Fourier beamforming (FB), L-band, synthetic aperture radar (SAR), tomography, L-Band, Airborne SAR. [Abstract] [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. 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]



10. Maciej J. Soja, H.J. Persson, and Lars M.H. Ulander. Estimation of Forest Biomass From Two-Level Model Inversion of Single-Pass InSAR Data. IEEE Trans. Geosci. Remote Sens., 53(9):5083-5099, September 2015. Keyword(s): data acquisition, digital elevation models, forestry, radar interferometry, remote sensing by radar, synthetic aperture radar, vegetation, AD 2008, AD 2010, AD 2011, AD 2012, AD 2013, InSAR processing, Krycklan feature, Remningstorp feature, Swedish test site, VV-polarized TanDEM-X acquisition, aboveground biomass estimation, biomass predictor, canopy density, digital terrain model, forest biomass estimation, forest height, hemiboreal forest, northern Sweden, single-pass InSAR data, single-pass interferometric synthetic aperture radar data, southern Sweden, two-level model inversion, Biological system modeling, Biomass, Computational modeling, Correlation, Decorrelation, Estimation, Synthetic aperture radar, Aboveground biomass (AGB), TanDEM-X (TDM), canopy density, forest height, interferometric model, interferometric syntheticaperture radar (InSAR), two-level model (TLM). [Abstract] [bibtex-entry]



11. 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]



12. 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]



13. 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]



14. Othmar Frey and Erich Meier. 3-D Time-Domain SAR Imaging of a Forest Using Airborne Multibaseline Data at L- and P-Bands. IEEE Trans. Geosci. Remote Sens., 49(10):3660-3664, October 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, synthetic aperture radar, SAR, three-dimensional imaging, 3-D imaging, time-domain back-projection, TDBP, tomography, Vegetation. [Abstract] [bibtex-entry]



15. Othmar Frey and Erich Meier. Analyzing Tomographic SAR Data of a Forest With Respect to Frequency, Polarization, and Focusing Technique. IEEE Trans. Geosci. Remote Sens., 49(10):3648-3659, October 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, synthetic aperture radar, SAR, scattering, three-dimensional imaging, 3-D imaging, time-domain back-projection, TDBP, tomography, Vegetation. [Abstract] [bibtex-entry]



16. 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]



17. 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]



18. 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, dielectric, dynamic, forest, multitemporal, synthetic aperature radar (SAR). [bibtex-entry]



19. 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]



20. Jong-Sen Lee, Shane R. Cloude, Konstantinos P. Papathanassiou, M. R. Grunes, and I. H. Woodhouse. Speckle filtering and coherence estimation of polarimetric SAR interferometry data for forest applications. IEEE Trans. Geosci. Remote Sens., 41(10):2254-2263, October 2003. Keyword(s): SAR Processing, Forest, Forest parameters, biomass, averaging, boxcar filter, coherence estimation, forest applications, forest heights, ground topography, interferometric coherence, neighboring pixels, polarimetric SAR interferometry data, polarimetric interferometry matrix, polarimetric synthetic aperture radar interferometry, random volume, scattering characteristics, speckle filtering, adaptive filters, forestry, radar imaging, radar polarimetry, radiowave interferometry, remote sensing by radar, speckle, synthetic aperture radar. [Abstract] [bibtex-entry]



21. 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]



22. 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, geophysical measurement technique, image classification scheme, inversion algorithm, parametric inversion, polarimetric radar inversion, radar scattering, radar theory, random particle cloud model, small anisotropic particles, two-parameter model, vegetation layer, vegetation mapping, wide band method. [Abstract] [bibtex-entry]



23. 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]



24. 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]



25. 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]



26. 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]



27. 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, geophysical measurement technique, global biomass inventory, land surface, phytomass, radar backscatter, radar remote sensing, vegetated surface, vegetation mapping, Space-borne SAR, SAR Tomography, Tomography. [Abstract] [bibtex-entry]



28. 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]

Conference articles

1. Othmar Frey, Erich Meier, and Irena Hajnsek. Towards a more reliable estimation of forest parameters from polarimetric SAR tomography data. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 3110-3113, 2012. 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, synthetic aperture radar, SAR, scattering, three-dimensional imaging, 3-D imaging, time-domain back-projection, TDBP, tomography, Vegetation. [Abstract] [bibtex-entry]



2. Othmar Frey, Erich Meier, and Irena Hajnsek. Tweaking baseline constellations for airborne SAR tomography and InSAR: an experimental study at L- and P-bands. In Proc. EUSAR 2012 - 9th European Conference on Synthetic Aperture Radar, pages 215-218, 2012. 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, synthetic aperture radar, SAR, scattering, three-dimensional imaging, 3-D imaging, time-domain back-projection, TDBP, tomography, Vegetation. [Abstract] [bibtex-entry]



3. 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]



4. Othmar Frey and Erich Meier. 3D SAR Imaging of a Forest Using Airborne MB-SAR Data at L- and P-Band: Data Processing and Analysis. In Proc. EUSAR 2010 - 8th European Conference on Synthetic Aperture Radar, pages 166-169, 2010. 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, synthetic aperture radar, SAR, three-dimensional imaging, 3-D imaging, time-domain back-projection, TDBP, tomography, Vegetation. [Abstract] [bibtex-entry]



5. Othmar Frey and Erich Meier. Analyzing Tomographic SAR Data of a Forest With Respect to Frequency, Polarization, and Focusing Techniques. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 150-153, July 2010. Note: Invited Paper. 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, synthetic aperture radar, SAR, three-dimensional imaging, 3-D imaging, time-domain back-projection, TDBP, tomography, Vegetation. [Abstract] [bibtex-entry]



6. Yue Huang, Laurent Ferro-Famil, and Andreas Reigber. Under foliage object imaging using SAR tomography and polarimetric spectral estimators. In Proc. EUSAR, pages 1-4, June 2010. Keyword(s): SAR Processing, SAR Tomography, Forestry, FOPEN, Tomography. [Abstract] [bibtex-entry]



7. Fabrizio Lombardini, Francesco Cai, and Matteo Pardini. Tomographic Analyses of Non-stationary Volumetric Scattering. In Proc. EUSAR, pages 1-4, June 2010. Keyword(s): SAR Processing, SAR Tomography, Forestry, Tomography. [Abstract] [bibtex-entry]



8. Othmar Frey and Erich Meier. Combining Time-Domain Back-Projection and Capon Beamforming for Tomographic SAR Processing. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 445-448, 2008. Keyword(s): SAR Processing, SAR Tomography, Tomographic Processing, Multi-Baseline SAR, Time-Domain Back-Projection, Back-Projection, E-SAR, P-Band, Forestry, Capon, Capon Beamforming, Superresolution. [Abstract] [bibtex-entry]



9. Othmar Frey and Erich Meier. Tomographic Focusing by Combining Time-Domain Back-Projection and Multi-Looking Based Focusing Techniques. In Proc. EUSAR 2008 - 7th European Conference on Synthetic Aperture Radar, pages 73-76, 2008. Keyword(s): SAR Processing, SAR Tomography, Tomographic Processing, Multi-Baseline SAR, Time-Domain Back-Projection, Back-Projection, E-SAR, P-Band, Forestry, Capon, Capon Beamforming, Superresolution. [Abstract] [bibtex-entry]



10. 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]



11. Othmar Frey, Felix Morsdorf, and Erich Meier. Tomographic SAR Imaging of a Forested Area by Time-Domain Back-Projection. In M.E. Schaepman, S. Liang, N.E. Groot, and M. Kneubühler, editors, 10th Intl. Symposium on Physical Measurements and Spectral Signatures in Remote Sensing, volume XXXVI, 2007. Intl. Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 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]



12. Rolf Scheiber, Pau Prats, Matteo Nannini, Karlus A. Câmara de Macedo, Christian Andres, Jens Fischer, and Ralf Horn. Advances in airborne SAR interferometry using the experimental SAR system of DLR. In European Radar Conference, EuRAD 2007., 2007. Keyword(s): SAR Processing, SAR Tomography, Tomography, InSAR, Interferometry, PTA, SATA, Residual Motion Errors, Motion Compensation, DInSAR, Differential InSAR, Differential Interferometry, E-SAR. [Abstract] [bibtex-entry]



13. 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]



14. Fabrizio Lombardini and Andreas Reigber. Adaptive spectral estimation for multibaseline SAR tomography with airborne L-band data. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS '03., volume 3, pages 2014-2016, 2003. Keyword(s): SAR Processing, Tomography, SAR Tomography, Capon spectral estimator, adaptive Capon spectral estimator, spectral estimation, multibaseline 3D SAR focusing, multi-baseline SAR, InSAR, Multibaseline InSAR, Forestry. [Abstract] [bibtex-entry]



15. Gordon C. Staples and Joost van der Sanden. RADARSAT-2 Polarimetry Applications. In Anais XI SBSR, Simposio Brasileiro de Sensoriamento Remoto 2003, INPE, Belo Horizonte, Brasil, volume 1, pages 2383-2389, 2003. Keyword(s): Radarsat-2, Polarimetry, Applications. [Abstract] [bibtex-entry]



16. Athanasios Potsis, Andreas Reigber, Emmanouil Alivizatos, Alberto Moreira, and Nikolaos K. Uzunoglou. Comparison of Chirp Scaling and Wavenumber Domain Algorithms for Airborne Low-Frequency SAR. In Francesco Posa, editor, SAR Image Analysis, Modeling, and Techniques V, volume 4883, pages 25-36, March 2002. Keyword(s): SAR Processing, Chirp Scaling Algorithm, Extended Chirp Scaling Algorithm, omega-k, Range Migration Algorithm, Wavenumber Domain Algorithm, Comparison of Algorithms, P-Band, Wideband SAR, Airborne SAR. [Abstract] [bibtex-entry]

Internal reports

1. Malcolm Davidson, Marco Chini, Wolfgang Dierking, Samuel Djavidnia, Joerg Haarpaintner, Guillaume Hajduch, Gaia Vaglio Laurin, Marco Lavalle, Carlos Lopez Martinez, Thomas Nagler, Nazzarreno Pierdicca, and Bob Su. Copernicus L-band SAR Mission Requirements Document (MRD). Technical report 2.0, ESA/ESTEC, October 2019. Note: ESA-EOPSM-CLIS-MRD-3371. Keyword(s): L-band, ROSE-L, Copernicus, Copernicus L-band SAR, ESA, spaceborne SAR, SAR Interferometry, deformation, displacement, ground motion, geohazards, sea ice types, detection of icebergs, forest, monitoring, changes in global forest carbon stocks, carbon stocks, Agriculture, food security, mapping of water availability, water use, soil moisture, moisture, glacier, ice sheets, climate change, maritime surveillance. [Abstract] [bibtex-entry]



2. NISAR. NASA-ISRO SAR (NISAR) Mission ScienceUsers' Handbook.. Technical report, NASA Jet Propulsion Laboratory, 2018. Keyword(s): L-band, NASA, ISRO, NISAR, spaceborne SAR, SAR Interferometry, deformation, displacement, ground motion, geohazards, sea ice types, detection of icebergs, forest, monitoring, changes in global forest carbon stocks, carbon stocks, Agriculture, food security, mapping of water availability, water use, soil moisture, moisture, glacier, ice sheets, climate change, maritime surveillance. [Abstract] [bibtex-entry]

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This collection of SAR literature is far from being complete.
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