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Publications about 'forests'

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. 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]


  2. 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]


  3. Stefano Tebaldini, Dinh Ho Tong Minh, Mauro Mariotti d'Alessandro, Ludovic Villard, Thuy Le Toan, and Jerome Chave. The Status of Technologies to Measure Forest Biomass and Structural Properties: State of the Art in SAR Tomography of Tropical Forests. Surveys in Geophysics, May 2019. Keyword(s): SAR Processing, SAR Tomography, BIOMASS, Earth Explorer 7, EE7, Airborne radar, Array signal processing, Capon, Capon beamformer, L-band, P-band, SAR processing, SAR tomography, beamforming, Focusing, forestry, interferometry, InSAR, multibaseline, multiple signal classification, MUSIC, polarimetry, Remote Sensing, synthetic aperture radar, SAR, scattering, three-dimensional imaging, 3-D imaging, time-domain back-projection, TDBP, tomography, Vegetation, Spaceborne SAR. [Abstract] [bibtex-entry]


  4. 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]


  5. Marivi Tello-Alonso, Victor Cazcarra-Bes, Matteo Pardini, and K. Papathanassiou. Forest Structure Characterization From SAR Tomography at L-Band. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(10):3402-3414, October 2018. Keyword(s): SAR Processing, SAR Tomography, forestry, optical radar, radar imaging, radar interferometry, radar polarimetry, remote sensing by laser beam, remote sensing by radar, synthetic aperture radar, vegetation mapping, 3-D forest monitoring, radar reflectivity, physical forest structure, tomographic SAR data, vertical structure index, inventory data, spatial distribution, experimental tomographic L-band data, vertical structure indices, vertical profiles, forest structure indices, forest structure characterization, SAR tomography, synthetic aperture radar remote sensing configurations, high spatial resolution, temporal resolution, tomographic SAR techniques, correlation coefficients, Forestry, Vegetation, Synthetic aperture radar, Tomography, Indexes, L-band, Forest structure, synthetic aperture radar, tomography. [Abstract] [bibtex-entry]


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


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


  8. 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]


  9. Marco Lavalle and Scott Hensley. Extraction of Structural and Dynamic Properties of Forests From Polarimetric-Interferometric SAR Data Affected by Temporal Decorrelation. IEEE Trans. Geosci. Remote Sens., 53(9):4752-4767, September 2015. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, Gaussian processes, optical radar, radar imaging, radar interferometry, radar polarimetry, synthetic aperture radar, vegetation mapping, Gaussian-statistic motion model, Harvard Forest, L-band NASA Uninhabited Aerial Vehicle Synthetic Aperture Radar, Laser Vegetation and Ice Sensor, Massachussetts, NASA lidar, RMoG model, RVoG model, USA, canopy elements, canopy motion, forest biomass estimation, forest dynamic property, forest property estimation, forest structural property, forest vertical structure, least square distance minimization, lidar-derived height, multiplicative factors, polarimetric channels, polarimetric-interferometric SAR data, polarimetric-interferometric coherence, polarimetric-interferometric radar image, random-motion-over-ground model, random-volume-over-ground model, temporal coherence, temporal decorrelation effect, tree height, volumetric coherence, volumetric decorrelation effect, wave polarization, Biomass, Coherence, Data models, Decorrelation, Radar, Vegetation, Decorrelation, interferometry, polarimetry. [Abstract] [bibtex-entry]


  10. 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]


  11. 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]


  12. 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]


  13. 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]


  14. 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]


  15. R. N. Treuhaft, B. D. Chapman, J. R. dos Santos, F. G. Gonšalves, L. V. Dutra, P. M. L. A. Graša, 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]


  16. 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]


  17. 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]


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


  19. L. Thirion, E. Colin, and C. Dahon. Capabilities of a forest coherent scattering model applied to radiometry, interferometry, and polarimetry at P- and L-band. IEEE Transactions on Geoscience and Remote Sensing, 44(4):849 - 862, April 2006. Keyword(s): L-band, P-band, SAR image, backscattering, electromagnetic study, forest coherent scattering model, forested areas, radar configuration, radar image, radar interferometry, radar polarimetry, radiometry, synthetic aperture radar, temperate forests, tropical forests, backscatter, forestry, microwave measurement, radar imaging, radar polarimetry, radiometry, radiowave interferometry, remote sensing by radar, synthetic aperture radar, vegetation mapping;. [Abstract] [bibtex-entry]


  20. 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]


  21. 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]


  22. H. Israelsson, L. M. H. Ulander, J. L. H. Askne, J. E. S. Fransson, P.-O. Fr÷lind, 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]


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


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


Conference articles

  1. 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]


  2. Lars M. H. Ulander, Per-Olov Fr÷lind, 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]


Internal reports

  1. Shaun Quegan, Thuy Le Toan, JÚr˘me 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]


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This collection of SAR literature is far from being complete.
It is rather a collection of papers which I store in my literature data base. Hence, the list of publications under PUBLICATIONS OF AUTHOR'S NAME should NOT be mistaken for a complete bibliography of that author.




Last modified: Mon Feb 1 16:39:50 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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