Publications about 'forest'

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]

Thesis

1. Albert Monteith. Temporal Characteristics of Boreal Forest Radar Measurements. PhD thesis, Chalmers University of Technology, 2020. Keyword(s): SAR Tomography, BorealScat. [Abstract] [bibtex-entry]

Articles in journal or book chapters

1. Aboveground forest biomass varies across continents, ecological zones and successional stages: Refined IPCC default values for tropical and subtropical forests. Environmental Research Letters, 17(1), 2022. [bibtex-entry]



2. O. Cartus, M. Santoro, U. Wegmuller, N. Labriere, and J. Chave. Sentinel-1 Coherence for Mapping Above-Ground Biomass in Semiarid Forest Areas. IEEE Geoscience and Remote Sensing Letters, 19, 2022. [bibtex-entry]



3. V. Humphrey and C. Frankenberg. Continuous ground monitoring of vegetation optical depth and water content with GPS signals. Biogeosciences Discussions, 2022:1-44, 2022. Keyword(s): GNSS, forest, monitoring, microwave, radar, L-band, vegetation. [bibtex-entry]



4. Juha Lemmetyinen, Juval Cohen, Anna Kontu, Juho Vehvil�inen, Henna-Reetta Hannula, Ioanna Merkouriadi, Stefan Scheiblauer, Helmut Rott, Thomas Nagler, Elisabeth Ripper, Kelly Elder, Hans-Peter Marshall, Reinhard Fromm, Marc Adams, Chris Derksen, Joshua King, Adriano Meta, Alex Coccia, Nick Rutter, Melody Sandells, Giovanni Macelloni, Emanuele Santi, Marion Leduc-Leballeur, Richard Essery, Cecile Menard, and Michael Kern. Airborne SnowSAR data at X and Ku bands over boreal forest, alpine and tundra snow cover. Earth System Science Data, 14(9):3915-3945, September 2022. [bibtex-entry]



5. Guido Luzi, Anna Barra, Qi Gao, Pedro F.Espin-Lopez, Riccardo Palama, Oriol Monserrat, Michele Crosetto, and Xavier Colell. A low-cost active reflector and a passive corner reflector network for assisting landslide monitoring using multi-temporal InSAR. Remote Sensing Letters, 13(11):1080-1089, 2022. [Abstract] [bibtex-entry]



6. Yasser Maghsoudi, Andrew J. Hooper, Tim J. Wright, Milan Lazecky, and Homa Ansari. Characterizing and correcting phase biases in short-term, multilooked interferograms. Remote Sensing of Environment, 275:113022, 2022. Keyword(s): InSAR, Phase bias, Fading signal, Correction, Closure Phase, SAR Interferometry, Radar interferometry, Time Series, Interferometric Stack, ground motion, deformation, subsidence, displacement, monitoring. [Abstract] [bibtex-entry]



7. M. Santoro, O. Cartus, and J.E.S. Fransson. Dynamics of the Swedish forest carbon pool between 2010 and 2015 estimated from satellite L-band SAR observations. Remote Sensing of Environment, 270(112846), 2022. [bibtex-entry]



8. Y. Xu, L. Yu, P. Ciais, W. Li, M. Santoro, H. Yang, and P. Gong. Recent expansion of oil palm plantations into carbon-rich forests. Nature Sustainability, 5(7):574-577, 2022. [bibtex-entry]



9. H. Yang, P. Ciais, J.-P. Wigneron, J. Chave, O. Cartus, X. Chen, L. Fan, J.K. Green, Y. Huang, E. Joetzjer, H. Kay, D. Makowski, F. Maignan, M. Santoro, S. Tao, L. Liu, and Y. Yao. Climatic and biotic factors influencing regional declines and recovery of tropical forest biomass from the 2015/16 El Niño. Proceedings of the National Academy of Sciences of the United States of America, 119(26), 2022. [bibtex-entry]



10. Fabio Rocca, Deren Li, Stefano Tebaldini, Mingsheng Liao, Lu Zhang, Fabrizio Lombardini, Timo Balz, Norbert Haala, Xiaoli Ding, and Ramon Hanssen. Three- and Four-Dimensional Topographic Measurement and Validation. Remote Sensing, 13(15), 2021. Keyword(s): SAR Processing, Synthetic Aperture Radar, Interferometry, SAR Interferometry, Persistent Scatterer Interferometry, PSI, SAR Tomography, Tomography, TomoSAR, 3-D imaging, temporal decorrelation, deformation, validation, surface displacements, topographic mapping. [Abstract] [bibtex-entry]



11. Emanuele Santi, Marco Brogioni, Marion Leduc-Leballeur, Giovanni Macelloni, Francesco Montomoli, Paolo Pampaloni, Juha Lemmetyinen, Juval Cohen, Helmut Rott, Thomas Nagler, Chris Derksen, Joshua King, Nick Rutter, Richard Essery, Cecile Menard, Melody Sandells, and Michael Kern. Exploiting the ANN Potential in Estimating Snow Depth and Snow Water Equivalent From the Airborne SnowSAR Data at X- and Ku-Bands. IEEE Transactions on Geoscience and Remote Sensing, pp 1-16, 2021. Keyword(s): SAR Processing, Artificial neural networks (ANNs), dense medium radiative transfer (DMRT), quasi Mie scattering (QMS) model, snow depth (SD), snow water equivalent (SWE), SnowSAR, synthetic aperture radar, SAR. [Abstract] [bibtex-entry]



12. 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]



13. Jorge Jorge Ruiz, Risto Vehmas, Juha Lemmetyinen, Josu Uusitalo, Janne Lahtinen, Kari Lehtinen, Anna Kontu, Kimmo Rautiainen, Riku Tarvainen, Jouni Pulliainen, and Jaan Praks. SodSAR: A Tower-Based 1-10 GHz SAR System for Snow, Soil and Vegetation Studies. Sensors, 20(22), 2020. [Abstract] [bibtex-entry]



14. 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]



15. Yanghai Yu, Mauro Mariotti d'Alessandro, Stefano Tebaldini, and Mingsheng Liao. Signal Processing Options for High Resolution SAR Tomography of Natural Scenarios. Remote Sensing, 12(10), 2020. [Abstract] [bibtex-entry]



16. Ibrahim El Moussawi, Dinh Ho Tong Minh, Nicolas Baghdadi, Chadi Abdallah, Jalal Jomaah, Olivier Strauss, Marco Lavalle, and Yen-Nhi Ngo. Monitoring Tropical Forest Structure Using SAR Tomography at L- and P-Band. Remote Sensing, 11(16), 2019. [Abstract] [bibtex-entry]



17. Unmesh Khati, Marco Lavalle, and Gulab Singh. Spaceborne tomography of multi-species Indian tropical forests. Remote Sensing of Environment, 229:193-212, 2019. Keyword(s): SAR Processing, SAR Tomography, TomoSAR, Tomography, TanDEM-X, TerraSAR-X, Tropical, Forest, India, Spaceborne SAR, X-band. [Abstract] [bibtex-entry]



18. Elias Méndez Domìnguez, Christophe Magnard, Erich Meier, David Small, Michael E. Schaepman, and Daniel Henke. A Back-Projection Tomographic Framework for VHR SAR Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing, 57(7):4470-4484, July 2019. Keyword(s): Synthetic aperture radar, Tomography, Backscatter, Apertures, Laser radar, Image resolution, Detectors, Image processing, Markov processes, synthetic aperture radar (SAR), tomography, urban areas. [Abstract] [bibtex-entry]



19. Matteo Pardini, John Armston, Wenlu Qi, Seung Kuk Lee, Marivi Tello, Victor Cazcarra Bes, Changhyun Choi, Konstantinos P. Papathanassiou, Ralph O. Dubayah, and Lola E. Fatoyinbo. Early Lessons on Combining Lidar and Multi-baseline SAR Measurements for Forest Structure Characterization. Surveys in Geophysics, 40(4):803-837, July 2019. Keyword(s): SAR Processing, Forest, Biomass, LiDAR, SAR Tomography, Multibaseline SAR. [Abstract] [bibtex-entry]



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



21. 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]



22. 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]



23. 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]



24. 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]



25. 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]



26. 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]



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



28. 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]



29. Octavio Ponce, Pau Prats-Iraola, Rolf Scheiber, Andreas Reigber, and Alberto Moreira. First Airborne Demonstration of Holographic SAR Tomography With Fully Polarimetric Multicircular Acquisitions at L-Band. IEEE_J_GRS, 54(10):6170-6196, October 2016. Keyword(s): geophysical techniques, radar imaging, remote sensing by radar, synthetic aperture radar, 2-D synthetic aperture, Fully Polarimetric Multicircular Acquisitions, German Aerospace Center, Germany, HoloSAR tomogram polarimetric analysis, Kaufbeuren, L-Band, SAR systems, airborne F-SAR sensor, coherent imaging approach, complex reflectivity, compressive sensing, fast-factorized back-projection, forest backscattering analysis, full 3-D reconstructions, generalized likelihood ratio test, geometric acquisition, geoscience community, holographic SAR tomography, holographic techniques, impulse response function, incoherent imaging, individual circular trajectories, internal structure imaging, multicircular SAR acquisitions, polarimetric L-band HoloSAR survey, radar resolution capability function, scatterer polarimetric signature, semitransparent media, sidelobe power, spatial resolution, target 3-D IRF, tomographic techniques, volumetric backscattering, Apertures, Radar imaging, Spatial resolution, Synthetic aperture radar, Tomography, Circular synthetic aperture radar (CSAR), compressive sensing (CS), fast-factorized back-projection (FFBP), holographic sar tomography (HoloSAR), phase gradient autofocus (PGA), polarimetric synthetic aperture radar (PolSAR). [bibtex-entry]



30. 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]



31. 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]



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



33. 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]



34. 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]



35. 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]



36. Gianfranco Fornaro, Fabrizio Lombardini, Antonio Pauciullo, Diego Reale, and Federico Viviani. Tomographic Processing of Interferometric SAR Data: Developments, applications, and future research perspectives. IEEE Signal Processing Magazine, 31(4):41-50, July 2014. Keyword(s): SAR Processing, SAR Tomography, PSI, Persistent Scatterer Interferometry, Deformation Monitoring, Deformation, radar interferometry, synthetic aperture radar, tomography, 3D reconstruction, classical multipass interferometric processing, environmental risk monitoring, interferometric SAR data tomographic processing, long-term deformation monitoring capability, natural hazard monitoring, synthetic aperture radar tomography techniques, three-dimensional reconstruction, Backscatter, Interferometry, Monitoring, Scattering, Synthetic aperture radar, Tomography. [Abstract] [bibtex-entry]



37. 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]



38. Keith Morrison and John Bennett. Tomographic Profiling - A Technique for Multi-Incidence-Angle Retrieval of the Vertical SAR Backscattering Profiles of Biogeophysical Targets. IEEE Trans. Geosci. Remote Sens., 52(2):1350-1355, February 2014. Keyword(s): SAR Processing, SAR tomography, tomography, snow, X-band, Ku-band, geophysical image processing, image retrieval, radar imaging, remote sensing by radar, synthetic aperture radar, tomography, across-track direction, airborne application, along-track direction, biogeophysical targets, forest canopies, ground-based SAR system, ice, multiincidence-angle retrieval, satellite application, snow, subaperture elements, synthetic aperture radar imaging, tomographic profiling, vegetation, vertical SAR backscattering profiles, Array signal processing, phased arrays, radar, radar imaging, synthetic aperture radar. [Abstract] [bibtex-entry]



39. 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]



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



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



42. Seung-Kuk Lee, Florian Kugler, Konstantinos P. Papathanassiou, and Irena Hajnsek. Quantification of Temporal Decorrelation Effects at L-Band for Polarimetric SAR Interferometry Applications. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(3):1351-1367, June 2013. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, airborne radar, data acquisition, decorrelation, estimation theory, radar polarimetry, spaceborne radar, synthetic aperture radar, BioSAR 2007, L-band E-SAR repeat-pass data acquisition, Pol-InSAR forest parameter inversion, TempoSAR 2008, TempoSAR 2009, ground temporal decorrelation effect, height inversion error, interferometric repeat-pass mode, multibaseline Pol-InSAR data acquisition, polarimetric SAR interferometry application, quantitative estimation, rain-induced dielectric change, satellite airborne SAR system, temporal baseline estimation, time 10 min to 54 day, velocity 2 m/s, volume temporal decorrelation effect, Height inversion, polarimetric synthetic aperture radar interferometry (Pol-InSAR), temporal baseline, temporal decorrelation. [Abstract] [bibtex-entry]



43. 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]



44. Mauro Mariotti d' Alessandro, Stefano Tebaldini, and Fabio Rocca. Phenomenology of Ground Scattering in a Tropical Forest Through Polarimetric Synthetic Aperture Radar Tomography. IEEE Trans. Geosci. Remote Sens., 51(8):4430-4437, August 2013. Keyword(s): SAR Processing, Biomass, SAR Tomography, Tomography, Polarimetry, Polarimetric synthetic aperture radar, SAR Interferometry, Interferometry, Multibaseline Interferometry, digital signal processing, forest, longer wavelength radar, P-Band, Airborne SAR, Paracou, French Guyana, ONERA, SETHI, TropiSAR, ESA. [Abstract] [bibtex-entry]



45. Keith Morrison, John Bennett, and Svein Solberg. Ground-based C-band tomographic profiling of a conifer forest stand. International Journal of Remote Sensing, 34(21):7838-7853, September 2013. [bibtex-entry]



46. P. Frolind, A. Gustavsson, M. Lundberg, and L. M. H. Ulander. Circular-Aperture VHF-Band Synthetic Aperture Radar for Detection of Vehicles in Forest Concealment. IEEE Transactions on Geoscience and Remote Sensing, 50(4):1329-1339, April 2012. Keyword(s): focusing, image resolution, radar imaging, synthetic aperture radar, VHF devices, circular-aperture VHF-band synthetic aperture radar, vehicles, dense forest concealment, image resolution, object information, signal processing, imaging geometry, high-quality image focusing, contrast optimization, false-alarm rate, detection probability, frequency 20 MHz to 90 MHz, Focusing, Vehicles, Apertures, Radar tracking, Image resolution, Geometry, Circular aperture, forest concealment, synthetic aperture radar (SAR), target detection, very high frequency (VHF). [Abstract] [bibtex-entry]



47. Yue Huang, Laurant Ferro-Famil, and Andreas Reigber. Under-Foliage Object Imaging Using SAR Tomography and Polarimetric Spectral Estimators. IEEE Trans. Geosci. Remote Sens., 50(6):2213-2225, June 2012. Keyword(s): SAR Processing, SAR Tomography, Tomography. [Abstract] [bibtex-entry]



48. Mauro Mariotti d'Alessandro and Stefano Tebaldini. Phenomenology of P-Band Scattering From a Tropical Forest Through Three-Dimensional SAR Tomography. IEEE Geosci. Remote Sens. Lett., 9(3):442-446, May 2012. Keyword(s): SAR Processing, SAR Tomography, Tomography, P-Band, Airborne SAR, Paracou, French Guyana, ONERA, SETHI, TropiSAR, ESA. [Abstract] [bibtex-entry]



49. Matteo Nannini, Rolf Scheiber, Ralf Horn, and Alberto Moreira. First 3-D Reconstructions of Targets Hidden Beneath Foliage by Means of Polarimetric SAR Tomography. IEEE Geosci. Remote Sens. Lett., 9(1):60-64, January 2012. Keyword(s): SAR Processing, SAR Tomography, Tomography, 3-D reconstructions, AD 2006 09, Dornstetten test site, E-SAR system, German Aerospace Center, Germany, L-band airborne data, imaging technique, multiple phase center separation, polarimetric SAR tomography, tomographic campaign, volume structure information, geophysical image processing, geophysical techniques, image reconstruction, synthetic aperture radar;. [Abstract] [bibtex-entry]



50. S.N. Riddick, D.A. Schmidt, and N.I. Deligne. An analysis of terrain properties and the location of surface scatterers from persistent scatterer interferometry. ISPRS Journal of Photogrammetry and Remote Sensing, 73(0):50 - 57, 2012. Keyword(s): SAR Processing, Interferometry, SAR Interferometry, InSAR, Persistent Scatterer Interferometry, PSI, StaMPS, Cascades, Three Sisters, LiDAR, Geology, Land cover, Vegetation, Volcanoes. [Abstract] [bibtex-entry]



51. Marc Simard, Scott Hensley, Marco Lavalle, Ralph Dubayah, Naiara Pinto, and Michelle Hofton. An Empirical Assessment of Temporal Decorrelation Using the Uninhabited Aerial Vehicle Synthetic Aperture Radar over Forested Landscapes. Remote Sensing, 4(4):975-986, 2012. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, Differential Interferometry, DInSAR, SAR Interferometry, Coherence, Airborne SAR, UAVSAR, L-Band. [Abstract] [bibtex-entry]



52. 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]



53. 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]



54. 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]



55. 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]



56. 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]



57. G. Krieger, Irena Hajnsek, Konstantinos P. Papathanassiou, M. Younis, and A. Moreira. Interferometric Synthetic Aperture Radar (SAR) Missions Employing Formation Flying. Proceedings of the IEEE, 98(5):816-843, May 2010. Keyword(s): SAR Processing, Tandem-L, Tandem-X, Formation Flying, Spaceborne SAR, SAR Tomography, Tomography. [Abstract] [bibtex-entry]



58. 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]



59. 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]



60. P. Samczynski and K.S. Kulpa. Coherent MapDrift Technique. IEEE Trans. Geosci. Remote Sens., 48(3):1505-1517, 2010. Keyword(s): SAR Processing, Autofocus, SAR Autofocus, MoComp, Motion Compensation, Map-Drift Autofocus, Coherent Map-Drift Autofocus, geophysical signal processing, radar signal processing, remote sensing by radar, synthetic aperture radar, target tracking, Earth imaging, MapDrift principles, coherent MapDrift technique, flight parameter estimation, moving target indication, parametric autofocus technique, real time processing, strip mode SAR systems, synthetic aperture radar, Autofocus, MD, coherent MapDrift (CMD), moving-target indication (MTI), multilook, subaperture, synthetic aperture radar (SAR). [Abstract] [bibtex-entry]



61. 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]



62. Stefano Tebaldini and Andrea Monti-Guarnieri. On the Role of Phase Stability in SAR Multibaseline Applications. IEEE Transactions on Geoscience and Remote Sensing, 48(7):2953-2966, July 2010. Keyword(s): SAR Processing, InSAR, Interferometry, SAR Interferometry, Monte Carlo simulations, Neyman-Pearson theory, P-band, Remningstorp, SAR multibaseline applications, Sweden, atmospheric disturbances, multibaseline synthetic aperture radar interferometry, phase calibration, phase stability, propagation disturbances, residual platform motion, signal-to-noise ratio, statistical analysis, SAR Tomography, Tomography, Monte Carlo methods, geophysical techniques, radar interferometry, remote sensing by radar, statistical analysis, synthetic aperture radar;. [Abstract] [bibtex-entry]



63. 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]



64. Franck Garestier, Pascale C. Dubois-Fernandez, Dominique Guyon, and Thuy Le Toan. Forest Biophysical Parameter Estimation Using L- and P-Band Polarimetric SAR Data. IEEE Transactions on Geoscience and Remote Sensing, 47(10):3379-3388, October 2009. Keyword(s): SAR Processing, Biomass, Biophysical Parameters, Forst, L-Band, P-Band, PolSAR, SAR Polarimetry, Airborne SAR, RAMSES, ONERA. [Abstract] [bibtex-entry]



65. 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]



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



67. R. N. Treuhaft, B. D. Chapman, J. R. dos Santos, F. G. Gonçalves, L. V. Dutra, P. M. L. A. Graça, and J. B. Drake. Vegetation profiles in tropical forests from multibaseline interferometric synthetic aperture radar, field, and lidar measurements. J. Geophys. Res., 114:1-16, December 2009. Keyword(s): SAR Processing, SAR Tomography, tropical forest structure, InSAR, interferometric SAR, lidar, Ecosystems, structure and dynamics, Remote sensing, Atmospheric Composition and Structure, Biosphere atmosphere interactions, Trace gases. [Abstract] [bibtex-entry]



68. 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]



69. Jong-Sen Lee, T.L. Ainsworth, J.P. Kelly, and C. Lopez-Martinez. Evaluation and Bias Removal of Multilook Effect on Entropy/Alpha/Anisotropy in Polarimetric SAR Decomposition. IEEE Trans. Geosci. Remote Sens., 46(10):3039-3052, Oct. 2008. Keyword(s): Monte Carlo methods, geophysical techniques, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, vegetationGerman Aerospace Research Center, JPL, Jet Propulsion Laboratory, L-band Advanced Land Observing Satellite, Monte Carlo simulation, airborne X-band polarimetric SAR, airborne interferometric SAR, alpha estimation, anisotropy estimation, bias removal algorithm, entropy estimation, forest, geophysical parameter estimation, grassland, multilook processing, phased array type L-band SAR, polarimetric SAR decomposition, scattering mechanisms, urban returns. [Abstract] [bibtex-entry]



70. Fabrizio Lombardini and Matteo Pardini. 3-D SAR Tomography: The Multibaseline Sector Interpolation Approach. IEEE Geoscience and Remote Sensing Letters, 5(4):630-634, Oct. 2008. Keyword(s): SAR Processing, Tomography, SAR Tomography, Multi-baseline SAR, Interpolation, Sector Interpolation, 3-D imaging, SAR Interferometry, Interferometry, InSAR, Spectral Analysis, Electromagnetic Tomography, Signal Sampling. [Abstract] [bibtex-entry]



71. 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]



72. Ross F. Nelson, Peter Hyde, Patrick Johnson, Bomono Emessiene, Marc L. Imhoff, Robert Campbell, and Wilson Edwards. Investigating RaDAR-LiDAR synergy in a North Carolina pine forest. Remote Sensing of Environment, 110(1):98-108, September 2007. Keyword(s): SAR Processing, Biomass, Forest, VHFRaDAR, profiling LiDAR, biomass, RaDAR-LiDAR synergy, VHFSAR DATA, SMALL-FOOTPRINT LIDAR, AIRBORNE LASER DATA, STEM VOLUME, STAND CHARACTERISTICS, AERIAL-PHOTOGRAPHY, VEGETATION BIOMASS, CONIFEROUS FOREST, BOREAL FORESTS, SCANNER DATA. [Abstract] [bibtex-entry]



73. 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]



74. 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]



75. Tazio Strozzi, Paolo Farina, Alessandro Corsini, Christian Ambrosi, Manfred Thüring, Johannes Zilger, Andreas Wiesmann, Urs Wegmuller, and Charles L. Werner. Survey and monitoring of landslide displacements by means of L-band satellite SAR interferometry. Landslides, 2(3):193-201, 2005. Keyword(s): SAR Processing, PSI, Persistent Scatterer Interferometry, Landslides, Displacement, Landslide displacement investigation, SAR interferometry, L-band, Swiss and Italian Alps. [Abstract] [bibtex-entry]



76. Sune R.J. Axelsson. Beam characteristics of three-dimensional SAR in curved or random paths. IEEE Trans. Geosci. Remote Sens., 42(10):2324-2334, Oct. 2004. Keyword(s): SAR Processing, SAR Tomography, Tomography, Non-Linear Flight Path, Non-linear SAR. [Abstract] [bibtex-entry]



77. Robert N. Treuhaft, Beverly E. Law, and Gregory P. Asner. Forest Attributes from Radar Interferometric Structure and Its Fusion with Optical Remote Sensing. BioScience, 54(6):561-571, 2004. Keyword(s): SAR Processing, InSAR, SAR Interferometry, Forest, remote sensing, carbon cycle, LiDAR, optical remote sensing, forest ecology, SAR Tomography. [Abstract] [bibtex-entry]



78. V. Alberga and M. Chandra. Volume decorrelation resolution in polarimetric SAR interferometry. Electronics Letters, 39(3):314-315, February 2003. Keyword(s): buildings, distributed scatterer height, forests, interferometric coherence images, man-made artifacts, polarimetric SAR data, polarimetric SAR interferometry, random volumes, stationary distributed targets, synthetic aperture radar, volume decorrelation resolution, decorrelation, radar imaging, radar polarimetry, radiowave interferometry, synthetic aperture radar, target tracking;. [Abstract] [bibtex-entry]



79. 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]



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



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



82. Andreas Reigber, Konstantinos P. Papathanassiou, Shane R. Cloude, and Alberto Moreira. SAR Tomography and Interferometry for the Remote Sensing of Forested Terrain. EUSAR 2000 Special Issue, Frequenz, Zeitschrift für Telekommunikation (Journal of Telecommunications), 55:119-122, March 2001. Keyword(s): SAR Processing, Tomography, SAR Tomography, Interferometry, Multi-Antenna Interferometry, Multi-Baseline Interferometry, 3D imaging, Airborne SAR, L-Band, E-SAR. [Abstract] [bibtex-entry]



83. 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]



84. 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]



85. D.L. Evans. Applications of imaging radar data in Earth science investigations. Electronics Communication Engineering Journal, 11(5):227 -234, October 1999. Keyword(s): Earth science investigations, Earth's surface, LightSAR mission, SAR interferometric measurements, biodiversity, biomass, fine resolution, forest regrowth, glacier ice velocity measurement, imaging radar data, interferometric data acquisition, land cover, large-scale surface change, long-term observations, natural hazards, polarimetric data acquisition, receive polarisation, resource assessment, scatterer cross-sections, spaceborne SAR systems, surface topographic change monitoring, synthetic aperture radar, topographic data sets, transmit polarisation, vegetation, data acquisition, electromagnetic wave scattering, health hazards, image resolution, radar applications, radar cross-sections, radar imaging, radar polarimetry, radar resolution, radiowave interferometry, remote sensing by radar, spaceborne radar, synthetic aperture radar, topography (Earth);. [Abstract] [bibtex-entry]



86. 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]



87. S.R. Cloude and Konstantinos P. Papathanassiou. Polarimetric SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 36(5):1551-1565, September 1998. Keyword(s): SAR Processing, PolInSAR, geophysical techniques, radar imaging, radar polarimetry, radar theory, remote sensing by radar, synthetic aperture radarInSAR, coherence optimization problem, elevated forest canopy, general formulation, geophysical measurement technique, interferogram, interferometric SAR, interferometric coherence, land surface, linear combinations, maximization, polarimetric SAR interferometry, polarimetric basis transformation, radar remote sensing, scalar interferometry, stochastic scattering model, strong polarization dependency, synthetic aperture radar, terrain mapping, vector wave interferometry, SAR Tomography. [Abstract] [bibtex-entry]



88. Stuart R. DeGraaf. SAR imaging via modern 2-D spectral estimation methods. Image Processing, IEEE Transactions on, 7(5):729-761, 1998. Keyword(s): SAR Processing, Spectral Estimation, adaptive estimation, adaptive signal processing, estimation theory, image resolution, interference suppression, radar imaging, radar interference, radiowave interferometry, speckle, spectral analysis, synthetic aperture radar, 2-D spectral estimation methods, ASR, MVM, RRMVM, SVA, adaptive SAR imaging, adaptive nulling, adaptive sidelobe reduction, adaptive spectral estimation, averaging, height estimates, interferometric height, minimum variance method, multichannel variants, polarimetric displaced-aperture interferometric data, power spectrum estimation methods, reduced-rank MVM, reflectivity intensity, resolution, scattering intensity, sidelobe artifacts, space variant apodization, synthetic aperture radar imaging, MUSIC. [Abstract] [bibtex-entry]



89. 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]



90. 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]



91. Robert N. Treuhaft, Soren N. Madsen, Mahta Moghaddam, and Jakob van Zyl. Vegetation characteristics and underlying topography from interferometric radar. Radio Science, 31(6):1449-1485, 1996. Keyword(s): SAR Processing, InSAR, Interferometry, Vegetation Parameters, Parameter Extraction, Topography, SAR Tomography. [Abstract] [bibtex-entry]



92. 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]



93. 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]



94. 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]



95. H.A. Zebker and J. Villasenor. Decorrelation in interferometric radar echoes. IEEE Trans. Geosci. Remote Sens., 30(5):950-959, September 1992. Keyword(s): SAR Processing, geophysical techniques, radiowave interferometry, remote sensing by radar, synthetic aperture radar, Decorrelation, Temporal Decorrelation, topography (Earth), Oregon, United States, backscatter, decorrelation, digital terrain model generation, echo correlation statistics, forested area, global digital terrain map, interferometric radar echoes, radar interferometric technique, remote sensing, single synthetic aperture radar, surficial change, topographic mapping, unvegetated lava flows, vegetated surfaces, Decorrelation, Digital elevation models, Noise level, Propulsion, Radar antennas, Space technology, Spaceborne radar, Surface topography, Synthetic aperture radar, Terrain mapping. [Abstract] [bibtex-entry]

Conference articles

1. O. Antropov, J. Miettinen, T. Hame, R. Yrjo, L. Seitsonen, R.E. McRoberts, M. Santoro, O. Cartus, N.M. Duran, M. Herold, M. Pardini, K. Papathanassiou, and I. Hajnsek. Intercomparison of Earth Observation Data and Methods for Forest Mapping in the Context of Forest Carbon Monitoring. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 5777-5780, July 2022. [bibtex-entry]



2. O. Ponce, H. Joerg, R. Scheiber, P. Prats, I. Hajnsek, and A. Reigber. First study on holographic SAR tomography over agricultural crops at C-/X-band. In Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS), pages 7403-7406, July 2016. Keyword(s): crops, geophysical image processing, image reconstruction, radar polarimetry, remote sensing by radar, synthetic aperture radar, 2D polarimetric image, 3D crop field backscattering, 3D forest backscattering distribution, 3D imaging reconstruction, 3D polarimetric image, C-band SAR, DLR F-SAR sensor, Germany, HoloSAR campaign, HoloSAR imaging mode, HoloSAR tomography, Wallerfing, X-band SAR, agricultural crop, azimuthal aspect angle, holographic SAR, scattering mechanisms, tomographic constellation, Tomography, Agricultural crops, Fast Factorized Back-Projection (FFBP), Holographic SAR Tomography (HoloSAR), Polarimetric Synthetic Aperture Radar (PolSAR). [bibtex-entry]



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



4. 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, temporal decorrelation, volume scatterer, Apertures, Bandwidth, Image resolution, Imaging, 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]



5. 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]



6. 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]



7. Othmar Frey and Erich Meier. Characterizing the Backscattering Properties of a Forest by Polarimetric SAR Tomography at L- and P-Bands. In Proc. PolInSAR, 5th Int. Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, ESA SP-695, Frascati, Italy, January 2011. [bibtex-entry]



8. 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]



9. 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]



10. 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]



11. 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]



12. 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]



13. F. Hélière, C.C. Lin, F. Fois, M. Davidson, A. Thompson, and P. Bensi. BIOMASS: A P-band SAR Earth explorer core mission candidate. In Proc. IEEE Radar Conf., pages 1-6, May 2009. Keyword(s): BIOMASS mission, Earth explorer core mission candidate, P-band, forest area, forest biomass, forest disturbances, frequency 425 MHz, global maps, synthetic aperture radar, terrestrial carbon cycle, remote sensing by radar, spaceborne radar, synthetic aperture radar. [Abstract] [bibtex-entry]



14. G. Krieger, I. Hajnsek, Konstantinos P. Papathanassiou, M. Eineder, M. Younis, F. De Zan, P. Prats, S. Huber, M. Werner, H. Fiedler, A. Freeman, P. Rosen, S. Hensley, W. Johnson, L. Veilleux, B. Grafmueller, R. Werninghaus, R. Bamler, and A. Moreira. The Tandem-L mission proposal: Monitoring Earth's dynamics with high resolution SAR interferometry. In Proc. IEEE Radar Conf., pages 1-6, May 2009. Keyword(s): Earth's Dynamics Monitoring, Tandem-L mission, advanced digital beamforming techniques, biomass inventories, glacier movement observations, global forest height, high data acquisition, high resolution SAR interferometry, innovative interferometric radar mission, millimetric displacements measurements, polarimetric radar mission, synthetic aperture radar, tectonic shifts, data acquisition, glaciology, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, tectonics, vegetation. [Abstract] [bibtex-entry]



15. Alberto Moreira, Gerhard Krieger, Irena Hajnsek, Kostas Papathanassiou, Michael Eineder, Francesco De Zan, Marwan Younis, and Marian Werner. Tandem-L: Monitoring the Earth's Dynamics with InSAR and Pol-InSAR. In Proc. PolInSAR, Frascati, Italy (ESA SP-668), January 2009. Keyword(s): Earth's Dynamics Monitoring, Tandem-L mission, advanced digital beamforming techniques, biomass inventories, glacier movement observations, global forest height, high data acquisition, high resolution SAR interferometry, innovative interferometric radar mission, millimetric displacements measurements, polarimetric radar mission, synthetic aperture radar, tectonic shifts, data acquisition, glaciology, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, tectonics, vegetation. [Abstract] [bibtex-entry]



16. R.K. Raney. DESDynI adopts hybrid polarity SAR architecture. In Radar Conference, 2009 IEEE, pages 1-4, May 2009. Keyword(s): DESDynI mission, L-band synthetic aperture radar, The National Research Council's Earth Science 2007 Decadal Survey, circular polarization, forest biomass, hybrid-polarity dual-polarised SAR, quadrature-polarimetric SAR mode, terrain surface deformation, polarisation, synthetic aperture radar. [Abstract] [bibtex-entry]



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



18. Stefano Tebaldini and Fabio Rocca. Polarimetric Options for SAR Tomography of Forested Areas. In Proc. of PolInSAR - 4th Int. Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, Frascati, Italy, January 2009. ESA SP-668. Keyword(s): SAR Processing, SAR Tomography, Tomography, E-SAR, P-Band. [Abstract] [bibtex-entry]



19. A. Wyholt and Lars M. H. Ulander. Evaluating VHF-band SAR autofocus algorithms using a forest backscatter model. In Proc. IEEE Int. Geosci. Remote Sens. Symp., volume 4, pages 9-12, July 2009. Keyword(s): SAR Processing, Autofocus, Time-Domain Back-Projection, TDBP, FFBP, SAR subimages, VHF-band SAR autofocus algorithms, fast factorized back-projection algorithm, forest backscatter model, forest clutter model, matching error, residual displacement errors, subimage matching, backscatter, focusing, geophysical image processing, image matching, remote sensing by radar, synthetic aperture radar. [Abstract] [bibtex-entry]



20. 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]



21. 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]



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



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



24. 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]



25. 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]



26. 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]



27. 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]



28. B. Hallberg, G. Smith, A. Olofsson, and Lars M. H. Ulander. Performance Simulation of Spaceborne P-band SAR for Global Biomass Retrieval. In IGARSS '04, International Geoscience and Remote Sensing Symposium, September 2004. Keyword(s): SAR Processing, Simulation, P-Band, Biomass Retrieval, Forest. [Abstract] [bibtex-entry]



29. 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]



30. M. Rombach and João 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]



31. 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]



32. 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]



33. Lars M. H. Ulander, Per-Olov Frölind, A. Gustavsson, H. Hellsten, T. Jonsson, B. Larsson, and G. Stenstrom. Performance of the CARABAS-II VHF-Band Synthetic Aperture Radar. In IGARSS '01, International Geoscience and Remote Sensing Symposium, volume 1, pages 129 - 131, Jul. 2001. Keyword(s): SAR Processing, RFI Suppression, Back-Projection, Ultra-Wideband SAR, Time-Domain Back-Projection, TDBP, VHF SAR, CARABAS, Airborne SAR. [Abstract] [bibtex-entry]



34. 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]

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]



3. Shaun Quegan, Thuy Le Toan, Jérôme Chave, Jorgen Dall, Konstantinos P. Papathanassiou, Fabio Rocca, Lars Ulander, and Mathew Williams. Report for Mission Selection: Biomass. Technical report SP-1324/1 (3 volume series), ESA, Noordwijk, The Netherlands, May 2012. Keyword(s): BIOMASS, BIOMASS MISSION, ESA, European Space Agency, P-Band, Spaceborne SAR, SAR. [Abstract] [bibtex-entry]



4. Report of the DESDynI Applications Workshop. Technical report, Version 1, April 2009. Keyword(s): DESDynI mission, BIOMASS mission, Earth explorer core mission candidate, P-band, forest area, forest biomass, forest disturbances, global maps, synthetic aperture radar, terrestrial carbon cycle, remote sensing by radar, spaceborne radar, DESDynl mission, Deformation, Ecosystem Structure, and Dynamics of Ice, Earth Science Decadal Survey, National Research Council, biomass estimation, carbon cycle, cryosphere objectives, ecosystem function, integrated L-band InSAR, multibeam Lidar mission, solid Earth surface deformation, surface elevation changes, topography measure, vegetation structure, deformation, optical radar, radar interferometry, remote sensing by radar, topography (Earth), vegetation. [bibtex-entry]



5. Candidate Earth Explorer Core Mission BIOMASS - Report for Assessment. Technical report, ESA SP-1313/2, November 2008. Keyword(s): BIOMASS mission, Earth explorer core mission candidate, P-band, forest area, forest biomass, forest disturbances, frequency 425 MHz, global maps, synthetic aperture radar, terrestrial carbon cycle, remote sensing by radar, spaceborne radar, synthetic aperture radar. [bibtex-entry]

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This collection of SAR literature is far from being complete.
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