Publications about 'Lidar'

Articles in journal or book chapters

1. M. Santoro, O. Cartus, U. Wegmüller, S. Besnard, N. Carvalhais, A. Araza, M. Herold, J. Liang, J. Cavlovic, and M.E. Engdahl. Global estimation of above-ground biomass from spaceborne C-band scatterometer observations aided by LiDAR metrics of vegetation structure. Remote Sensing of Environment, 279(113114), 2022. [bibtex-entry]



2. 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]



3. Xie Hu, Roland Burgmann, Eric J. Fielding, and Hyongki Lee. Internal kinematics of the Slumgullion landslide (USA) from high-resolution UAVSAR InSAR data. Remote Sensing of Environment, 251:112057, 2020. Keyword(s): SAR Processing, Slumgullion landslide, Kinematic boundaries, Geomorphologic features, UAVSAR, InSAR, DInSAR, Airborne SAR, L-band, Surface Displacements, Deformation. [Abstract] [bibtex-entry]



4. P. Hügler, T. Grebner, C. Knill, and C. Waldschmidt. UAV-Borne 2-D and 3-D Radar-Based Grid Mapping. IEEE Geosci. Remote Sens. Lett., pp 1-5, 2020. Keyword(s): Frequency-modulated continuous-wave radar, multiple-input multiple-output (MIMO) radar, occupancy grid map (OGM), unmanned aerial vehicle (UAV).. [Abstract] [bibtex-entry]



5. 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]



6. 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]



7. Ping He, Yangmao Wen, Caijun Xu, and Yunguo Chen. Complete three-dimensional near-field surface displacements from imaging geodesy techniques applied to the 2016 Kumamoto earthquake. Remote Sensing of Environment, 232:111321, 2019. Keyword(s): Imaging geodesy, Three-dimensional displacement, Kumamoto earthquake, SAR interferometry, Pixel offset tracking, LiDAR data. [Abstract] [bibtex-entry]



8. C. Hu, B. Zhang, X. Dong, and Y. Li. Geosynchronous SAR Tomography: Theory and First Experimental Verification Using Beidou IGSO Satellite. IEEE Transactions on Geoscience and Remote Sensing, pp 1-17, 2019. Keyword(s): Orbits, Synthetic aperture radar, Tomography, Satellites, Perturbation methods, Radar imaging, 3-D imaging, Beidou inclined geosynchronous orbit (IGSO), geosynchronous synthetic aperture radar (GEO SAR), tomography.. [Abstract] [bibtex-entry]



9. 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]



10. 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]



11. 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]



12. Ning Cao, Hyongki Lee, Evan Zaugg, R. Shrestha, W. Carter, C. Glennie, G. Wang, Z. Lu, and J. C. Fernandez-Diaz. Airborne DInSAR Results Using Time-Domain Backprojection Algorithm: A Case Study Over the Slumgullion Landslide in Colorado With Validation Using Spaceborne SAR, Airborne LiDAR, and Ground-Based Observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(11):4987-5000, November 2017. Keyword(s): SAR Processing, Time-Domain Back-Projection, TDBP, Backprojection, Repeat-Pass Interferometry, SAR Interferometry, Displacement, Deformation Measurement, Aircraft, Interferometry, L-band, Spaceborne radar, Synthetic aperture radar, Terrain factors, Trajectory, Backprojection (BP), InSAR, SAR, differential synthetic aperture radar interferometry (DInSAR), landslide, motion compensation (MoCo), residual motion error (RME), Airborne SAR. [Abstract] [bibtex-entry]



13. 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]



14. Delwyn Moller, Konstantinos M. Andreadis, Kat J. Bormann, Scott Hensley, and Thomas H. Painter. Mapping Snow Depth From Ka-Band Interferometry: Proof of Concept and Comparison With Scanning Lidar Retrievals. IEEE Geoscience and Remote Sensing Letters, 14(6):886-890, June 2017. Keyword(s): SAR Processing, GLINT, Ka-band, airborne SAR, snow, snow depth, interferometry, SAR interferometry. [Abstract] [bibtex-entry]



15. Scott Hensley, D. Moller, S. Oveisgharan, T. Michel, and X. Wu. Ka-Band Mapping and Measurements of Interferometric Penetration of the Greenland Ice Sheets by the GLISTIN Radar. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(6):2436-2450, June 2016. Keyword(s): Global Positioning System, geophysical image processing, hydrological techniques, ice, image segmentation, meteorological radar, optical radar, radar interferometry, snow, synthetic aperture radar, topography (Earth), Antarctica, Earth environment, GLISTIN elevation measurement, GLISTIN instrument, GLISTIN radar, Greenland ice sheet, Jakobshavn glacier area, Ka-band cross-track interferometric radar, Ka-band mapping, NASA GLISTIN Ka-band interferometric radar, NASA Wallop airborne terrain mapper lidar measurement, climate change, ice cap topography, ice surface topography, image mosaic, interferometric penetration, interferometric penetration measurement, interferometric radar mapping system, kinematic GPS survey measurement, lidar, optical system, swath topographic measurement, Ice, Instruments, Laser radar, Sea measurements, Snow, Surfaces, Glaciers, Ka-band, ice sheets, interferometry, penetration, radar. [Abstract] [bibtex-entry]



16. 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]



17. 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]



18. 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]



19. Zhu. Xiao Xiang and Richard Bamler. Superresolving SAR Tomography for Multidimensional Imaging of Urban Areas: Compressive sensing-based TomoSAR inversion. IEEE Signal Processing Magazine, 31(4):51-58, July 2014. Keyword(s): SAR Processing, SAR Tomography, PSI, Persistent Scatterer Interferometry, Deformation Monitoring, Deformation, compressed sensing, image motion analysis, image reconstruction, radar imaging, radar resolution, synthetic aperture radar, tomography, 4D point clouds, LiDAR, VHR spaceborne tomographic SAR inversion, building deformation, compressive sensing-based TomoSAR inversion, dynamic city model reconstruction, motion reconstruction, multicomponent nonlinear motion, multidimensional imaging, multiple scatterers, point density, shape reconstruction, synthetic aperture radar, urban areas, urban infrastructure, very high spatial resolution SAR tomography, Mathematical model, Signal processing algorithms, Signal resolution, Signal to noise ratio, Synthetic aperture radar, Tomography, Urban areas. [Abstract] [bibtex-entry]



20. 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]



21. 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]



22. 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]



23. 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]



24. 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]



25. 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]



26. 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]

Conference articles

1. Ning Cao, Hyongki Lee, Evan Zaugg, Ramesh Shrestha, William E. Carter, Craig Glennie, Zhong Lu, and Juan Carlos Fernandez Diaz. Evaluation of an airborne SAR system for deformation mapping: A case study over the slumgullion landslide. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 1684-1687, July 2017. Keyword(s): SAR Processing, Interferometry, SAR Interferometry, InSAR, Differential SAR Interferometry, DInSAR, Repeat-Pass Interferometry, deformation monitoring, subsidence monitoring, Displacement, Earth, Global Positioning System, Laser radar, Spaceborne radar, Strain, Synthetic aperture radar, Terrain factors, GPS, Landslide, LiDAR, SAR. [Abstract] [bibtex-entry]



2. Elias J. Deeb, Hans-Peter Marshall, Richard R. Forster, Cathleen E. Jones, Christopher A. Hiemstra, and Paul R. Siqueira. Supporting NASA SnowEx remote sensing strategies and requirements for L-band interferometric snow depth and snow water equivalent estimation. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 1395-1396, July 2017. [Abstract] [bibtex-entry]



3. N. Chamberlain, H. Ghaemi, L. Giersch, L. Harcke, R. Hodges, J. Hoffman, W. Johnson, R. Jordan, B. Khayatian, P. Rosen, G. Sadowy, S. Shaffer, Y. Shen, L. Veilleux, and P. Wu. The DESDynI synthetic aperture radar array-fed reflector antenna. In Proc. IEEE Int. Symposium on Phased Array Systems and Technology (ARRAY), pages 381-386, October 2010. Keyword(s): DESDynl, Earth-orbit remote sensing, NASA, SweepSAR, active switched array, array-fed reflector antenna, lidar instruments, patch antenna, radar imaging, synthetic aperture radar antenna, active antenna arrays, aperture antennas, microstrip antenna arrays, radar antennas, reflector antenna feeds, synthetic aperture radar. [Abstract] [bibtex-entry]



4. Scott Hensley, E. Gurrola, Leif Harcke, M. Slade, K. Quirk, M. Srinivasan, C. Lee, Sang-Ho Yun, J. Jao, B. Wilson, E. De Jong, N. Marechal, L. Weintraub, R. Dickinson, R. Bloom, G. Karamyan, and A. Lilje. Lunar topographic mapping using a new high resolution mode for the GSSR radar. In Proc. IEEE Radar Conference, pages 464-469, May 2010. Keyword(s): Doppler image formation technique, Earth based radar interferometric measurement, Goldstone Solar System Radar, Moon topography mapping, autofocusing method, bandwidth 40 MHz, geodetic control, high resolution mode, interferograms, lidar topography maps, lunar topographic mapping, lunar topographic maps, range image formation technique, spotlight mode processing, Doppler radar, Moon, astronomical image processing, image resolution, optical radar, radar imaging, radar interferometry, radar resolution. [Abstract] [bibtex-entry]



5. W.T.K. Johnson, P.A. Rosen, S. Hensley, and A. Freeman. Radar designs for the DESDynI mission. In IEEE Radar Conference, pages 1-3, May 2009. Keyword(s): DESDynI mission, InSAR, Lidar, SweepSAR, dual polarization, ecosystem structure, ice dynamics, interferometric radar design, near-polar orbit, quadpolarization, solid Earth, spacecraft, vegetation, electromagnetic wave polarisation, geophysical techniques, ice, optical radar, radar interferometry, synthetic aperture radar. [Abstract] [bibtex-entry]



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



7. A. Donnellan, P. Rosen, J. Ranson, and H. Zebker. Deformation, Ecosystem Structure, and Dynamics of Ice (DESDynI). In IEEE Int. Geoscience and Remote Sensing Symposium, IGARSS 2008, volume 3, pages 5-8, July 2008. Keyword(s): 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. [Abstract] [bibtex-entry]

Internal reports

1. 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]



2. 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]

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This collection of SAR literature is far from being complete.
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