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Publications about 'biomass'

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. A. Araza, S. de Bruin, M. Herold, S. Quegan, N. Labriere, P. Rodriguez-Veiga, V. Avitabile, M. Santoro, E.T.A. Mitchard, C.M. Ryan, O.L. Phillips, S. Willcock, H. Verbeeck, J. Carreiras, L. Hein, M.-J. Schelhaas, A.M. Pacheco-Pascagaza, P. da Conceicao Bispo, G.V. Laurin, G. Vieilledent, F. Slik, A. Wijaya, S.L. Lewis, A. Morel, J. Liang, H. Sukhdeo, D. Schepaschenko, J. Cavlovic, H. Gilani, and R. Lucas. A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps. Remote Sensing of Environment, 272(112917), 2022. [bibtex-entry]


  3. 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]


  4. 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]


  5. 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]


  6. Guodong Jin, Kaiyu Liu, Dacheng Liu, Da Liang, Heng Zhang, Naiming Ou, Yanyan Zhang, Yunkai Deng, Chuang Li, and Robert Wang. An Advanced Phase Synchronization Scheme for LT-1. IEEE Transactions on Geoscience and Remote Sensing, 58(3):1735-1746, March 2020. Keyword(s): Synchronization, Satellites, Spaceborne radar, Synthetic aperture radar, Radar antennas, Oscillators, Bistatic synthetic aperture radar (SAR), phase error, phase synchronization. [Abstract] [bibtex-entry]


  7. 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]


  8. 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]


  9. Mauro Mariotti d'Alessandro and Stefano Tebaldini. Cross Sensor Simulation of Tomographic SAR Stacks. Remote Sensing, 11(18), 2019. Keyword(s): SAR Processing, tomography, SAR tomography, Simulation, Wavenumbers, orbits, biomass, synthetic aperture radar, P-band. [Abstract] [bibtex-entry]


  10. 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]


  11. 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]


  12. 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]


  13. F. Banda, J. Dall, and S. Tebaldini. Single and Multipolarimetric P-Band SAR Tomography of Subsurface Ice Structure. IEEE Transactions on Geoscience and Remote Sensing, 54(5):2832-2845, May 2016. Keyword(s): glaciology, remote sensing by radar, synthetic aperture radar, multipolarimetric P-band SAR tomography, subsurface ice structure, multipolarization synthetic aperture radar, glaciers, ice sheets, Earth Explorer mission BIOMASS, IceSAR 2012, TomoSAR techniques, southwest of Greenland, cryospheric remote sensing, Synthetic aperture radar, Ice, Tomography, Estimation, Image resolution, Scattering, BIOMASS, cryosphere, Greenland, synthetic aperture radar (SAR), tomography, BIOMASS, cryosphere, Greenland, synthetic aperture radar (SAR), tomography. [Abstract] [bibtex-entry]


  14. S. Zwieback and I. Hajnsek. Influence of Vegetation Growth on the Polarimetric Zero-Baseline DInSAR Phase Diversity ---Implications for Deformation Studies. IEEE_J_GRS, 54(5):3070-3082, May 2016. Keyword(s): crops, geophysical techniques, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, L-band zero-baseline data set, agricultural crop, barley, crop type, deformation study, differential SAR interferometry, displacement estimation, growing season, in situ observed biomass, maize, polarimetric DInSAR phase diversity, polarimetric coherence region, polarization diversity, sugar beet, vegetation canopy, vegetation effect, vegetation growth effect, wheat, zero-baseline DInSAR phase diversity, Coherence, Interferometry, Synthetic aperture radar, Systematics, Vegetation, Vegetation mapping, Birefringence, radar remote sensing, vegetation. [bibtex-entry]


  15. 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]


  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. Shaun Quegan and M.R. Lomas. The Interaction Between Faraday Rotation and System Effects in Synthetic Aperture Radar Measurements of Backscatter and Biomass. Geoscience and Remote Sensing, IEEE Transactions on, 53(8):4299-4312, August 2015. Keyword(s): Faraday effect, backscatter, geophysical techniques, synthetic aperture radar, European space agency BIOMASS mission, P-band radar, backscatter synthetic aperture radar measurement, biomass estimation error, biomass synthetic aperture radar measurement, channel imbalance deviation magnitude, distortion term amplitude, distortion term phase, faraday rotation, first-order analysis, long-wavelength space-based radar, polarimetric backscattering coefficient, polarimetric scattering matrix measurement, power-law relation, signal-to-noise ratio, stringent condition, system distortion, Backscatter, Biomass, Crosstalk, Distortion measurement, Faraday effect, Noise, Scattering, Biomass, Faraday rotation, calibration, long-wavelength radar, polarimetric measurements, system distortion. [Abstract] [bibtex-entry]


  18. 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]


  19. 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]


  20. 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]


  21. 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]


  22. 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]


  23. 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]


  24. 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]


  25. 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]


  26. 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]


  27. Simon H. Yueh, Steve J. Dinardo, Ahmed Akgiray, Richard West, Donald W. Cline, and Kelly Elder. Airborne Ku-Band Polarimetric Radar Remote Sensing of Terrestrial Snow Cover. IEEE Transactions on Geoscience and Remote Sensing, 47(10):3347-3364, October 2009. Keyword(s): snow, ku-band, airborne radar, backscatter, hydrological techniques, ice, radar cross-sections, radar polarimetry, remote sensing by radar, snow, vegetation, AD 2006 to 2008, CLPX-II, Cold Land Processes Experiment, Colorado, HH/VV backscatter ratio, Ku-band polarimetric scatterometer, POLSCAT data acquisition, USA, airborne Ku-band polarimetric radar, biomass, freeze-thaw cycles, ice crust layers, ice lenses, radar echoes, radar signals, radiative transfer scattering model, remote sensing, snow-grain size, snow-water-equivalent accumulation, snowpack change, surface hoar growth, terrestrial snow cover, vegetation types, Microwave remote sensing, radar, snow. [Abstract] [bibtex-entry]


  28. 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]


  29. 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]


  30. 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]


  31. 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]


  32. 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]


  33. 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]


  34. 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]


  35. 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. Paco López-Dekker, Francesco De Zan, Thomas Borner, Marwan Younis, K. Papathanassiou, T. Guardabrazo, V. Bourlon, S. Ramongassie, N. Taveneau, Lars Ulander, D. Murdin, N. Rogers, Shaun Quegan, and R. Franco. BIOMASS end-to-end mission performance simulator. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 4249-4252, July 2011. Keyword(s): BIOMASS, P-band synthetic aperture radar, end-to-end mission performance simulator, fully quad-polarized image data acquistion, interferometric mode, module functional description, system architecture, data acquisition, radar imaging, radar interferometry, radar polarimetry, remote sensing by radar, vegetation, vegetation mapping. [Abstract] [bibtex-entry]


  2. 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]


  3. 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]


  4. 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]


  5. 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]


  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]


  8. 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]


  9. W. - M. Boerner. Recent Advances in Extra-Wide-Band Polarimetry, Interferometry and Polarimetric Interferometry in Synthetic Aperture Remote Sensing and its Applications. In IEE Proceedings - Radar, Sonar and Navigation, volume 150, pages 113-124, June 2003. Keyword(s): SAR Processing, Interferometry, Pol-InSAR, RFI Suppression, Extra-WideBand SAR, WideBand SAR. [Abstract] [bibtex-entry]


  10. 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]


  11. 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]


  12. David Small, Francesco Holecz, Erich Meier, and Daniel Nüesch. Absolute radiometric correction in rugged terrain: A plea for integrated radar brightness. In Proc. IEEE Int. Geosci. Remote Sens. Symp., volume 1, pages 330-332, 1998. Keyword(s): geophysical signal processing, geophysical techniques, radar imaging, remote sensing by radar, spaceborne radar, synthetic aperture radar, absolute radiometric correction, biomass estimation, geophysical measurement technique, integrated radar brightness, integrative faceted heteromorphic approach, land surface, multimode SAR imagery, multimode image comparison, radar remote sensing, radiometric normalisation, rugged terrain, terrain mapping, terrain-induced variation. [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. 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]


  3. 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]


  4. 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.
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: Fri Feb 24 14:22:48 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .

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