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Publications about 'Finland'

Articles in journal or book chapters

  1. Melody Sandells, Henning Loewe, Ghislain Picard, Marie Dumont, Richard Essery, Nicolas Floury, Anna Kontu, Juha Lemmetyinen, William Maslanka, Samuel Morin, Andreas Wiesmann, and Christian Matzler. X-Ray Tomography-Based Microstructure Representation in the Snow Microwave Radiative Transfer Model. IEEE Transactions on Geoscience and Remote Sensing, 60(4301115):1-15, 2022. Keyword(s): Snow, Microstructure, Snow microstructure, X-ray, tomography, X-ray tomography, microwave, microwave scattering, SMRT, SMRTmodel, snow, snow microwave radiative transfer (SMRT), microwave remote sensing, radar, radar remote sensing, Nordic Snow Radar Experiment, NoSREx. [Abstract] [bibtex-entry]


  2. 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]


  3. S. Leinss, H. Löwe, M. Proksch, and A. Kontu. Modeling the evolution of the structural anisotropy of snow. The Cryosphere, 14(1):51-75, 2020. Keyword(s): snow, anisotropy, modelling. [Abstract] [bibtex-entry]


  4. S. Leinss, H. Löwe, M. Proksch, J. Lemmetyinen, A. Wiesmann, and I. Hajnsek. Anisotropy of seasonal snow measured by polarimetric phase differences in radar time series. The Cryosphere, 10:1771-1797, 2016. Keyword(s): snow, anisotropy, SnowScat, polarimetric, copolar phase difference CPD.. [Abstract] [bibtex-entry]


  5. C. Lin, B. Rommen, N. Floury, D. Schüttemeyer, M. W. J. Davidson, M. Kern, A. Kontu, J. Lemmetyinen, J. Pulliainen, A. Wiesmann, C. L. Werner, C. Mätzler, M. Schneebeli, M. Proksch, and T. Nagler. Active Microwave Scattering Signature of Snowpack---Continuous Multiyear SnowScat Observation Experiments. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(8):3849-3869, August 2016. Keyword(s): remote sensing by radar, snow, snowpack active microwave scattering signature, multiyear SnowScat observation experiment, European Space Agency SnowScat instrument, aperture scatterometer, gamma remote sensing AG, AD 2009 02, Weissfluhjoch, Davos, Switzerland, alpine snowpack, snowpack physical characterization, Sodankyla, Finland, AD 2009 11, Finnish Meteorological Institute, Lapland, passive microwave observation, winter season, time-domain snow profiling experiment, snow microstructure, snow metamorphism, snow depth, snow-water-equivalent, frequency 9.15 GHz to 17.9 GHz, Snow, Instruments, Microstructure, Spaceborne radar, Backscatter, Microwave radiometry, Microwave backscatter, radar remote sensing, scatterometer, snow microstructure, snowpack, snow-water-equivalent (SWE), time-domain profiling. [Abstract] [bibtex-entry]


  6. J. Pan, M. Durand, M. Sandells, J. Lemmetyinen, E. J. Kim, J. Pulliainen, A. Kontu, and C. Derksen. Differences Between the HUT Snow Emission Model and MEMLS and Their Effects on Brightness Temperature Simulation. IEEE Transactions on Geoscience and Remote Sensing, 54(4):2001-2019, April 2016. Keyword(s): radiative transfer, remote sensing, snow, HUT snow emission model, Helsinki University of Technology, brightness temperature simulation, snow water equivalent retrieval algorithm, passive microwave measurement, multiple-layer HUT model, Microwave Emission Model of Layered Snowpacks, scattered intensity, radiative transfer equation, one-flux equation, two-flux theory, HUT scattering coefficient, trapped-radiation, natural snow cover, Sodankyla, Finland, Churchill, Canada, Colorado, USA, snow grain size was, deep snow, Born approximation, root-mean-square error, Snow, Mathematical model, Scattering, Grain size, Microwave theory and techniques, Ice, Correlation, Model comparison, passive microwave remote sensing, snow, Model comparison, passive microwave remote sensing, snow. [Abstract] [bibtex-entry]


  7. S. Zwieback, X. Liu, S. Antonova, B. Heim, A. Bartsch, J. Boike, and I. Hajnsek. A Statistical Test of Phase Closure to Detect Influences on DInSAR Deformation Estimates Besides Displacements and Decorrelation Noise: Two Case Studies in High-Latitude Regions. IEEE_J_GRS, 54(9):5588-5601, September 2016. Keyword(s): atmospheric precipitation, displacement measurement, geophysical techniques, radar interferometry, remote sensing by radar, snow, statistical analysis, synthetic aperture radar, DInSAR deformation estimates, Finland, Ku-band, Lena Delta, Russia, Sodankylä, X-band observations, decorrelation noise, differential interferometric synthetic aperture radar, high-latitude regions, ice-rich permafrost regions, phase measurement, snow metamorphism, statistical test, summer precipitation event, Decorrelation, Optical interferometry, Scattering, Snow, Synthetic aperture radar, Displacement measurement, interferometry, remote sensing, soil, statistics. [bibtex-entry]


  8. Silvan Leinss, Andreas Wiesmann, J. Lemmetyinen, and I. Hajnsek. Snow Water Equivalent of Dry Snow Measured by Differential Interferometry. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(8):3773-3790, August 2015. Keyword(s): radar interferometry, remote sensing by radar, snow, Finland, SnowScat instrument, Sodankyla town, Xand Ku-band, active microwave remote sensing method, differential interferogram time series, differential radar interferometry, dry snow measurement, frequency 10 GHz, frequency 16 GHz, frequency 20 GHz, passive microwave remote sensing method, phase wrapping error, reference instrument, signal delay, snow density, snow pack spatial inhomogeneity, snow volume, snow water equivalent mapping, stratigraphy, temporal decorrelation, time 30 day, Backscatter, Ice, Instruments, Interferometry, Snow, Synthetic aperture radar, Coherence loss, SnowScat, dielectric constant of snow, differential interferometry (D-InSAR), dry snow, microwave penetration of snow, real aperture radar, snow water equivalent (SWE), synthetic aperture radar (SAR). [Abstract] [bibtex-entry]


  9. Silvan Leinss, Giuseppe Parrella, and Irena Hajnsek. Snow height determination by polarimetric phase differences in X-band SAR data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(9):3794-3810, Sept 2014. Keyword(s): hydrological techniques, remote sensing by radar, snow, synthetic aperture radar, AD 2012 01, AD 2012 12 to 2013 04, CPD temporal evolution, Finland, HH polarization, Sodankylae city, TanDEM-X, TanDEM-X acquisitions, TerraSAR-X acquisitions, VV polarization, X-band SAR acquisitions, X-band SAR data, aligned elliptical particles, computer tomography observations, copolar phase difference, fresh snow depth, polarimetric phase difference, snow height determination, snow microstructure, subsequent recrystallization process, temperature-gradient-driven recrystallization process, weather station data, Backscatter, Scattering, Snow, Soil, Soil measurements, Synthetic aperture radar, Temperature measurement, Birefringence, TanDEM-X, TerraSAR-X, VV-HH phase difference, copolar phase difference, dry snow, fresh snow, polarimetry, snow anisotropy, snow microstructure, synthetic aperture radar. [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: Fri Feb 24 14:23:21 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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