Publications about 'Forest parameters'

Articles in journal or book chapters

1. 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]



2. 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]



3. 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]



4. 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]



5. 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. 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]



2. 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]

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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.

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