Publications about 'Arizona'

Articles in journal or book chapters

1. Alireza Tabatabaeenejad, Mariko S. Burgin, X. Duan, and Mahta Moghaddam. P-Band Radar Retrieval of Subsurface Soil Moisture Profile as a Second-Order Polynomial: First AirMOSS Results. IEEE Transactions on Geoscience and Remote Sensing, 53(2):645-658, February 2015. Keyword(s): hydrological techniques, remote sensing by radar, vegetation, AD 2012 09, AD 2012 10, AirMOSS mission flights, AirMOSS results, Airborne Microwave Observatory of Sub- canopy and Subsurface, Arizona, P-band radar data, Root Mean Squared Error, Walnut Gulch Experimental Watershed, barren terrain, discrete scattering model, radar pixel, second-order polynomial, shrubland terrain, subsurface depth function, subsurface soil moisture profile, synthetic radar data, terrain radar backscattering coefficients, vegetated terrain, Atmospheric modeling, Data models, Moisture, Polynomials, Radar, Soil moisture, Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS), discrete scattering model, quadratic function, radar, remote sensing, second-order polynomial, simulated annealing, soil moisture profile. [Abstract] [bibtex-entry]



2. Dochul Yang and Sean M. Buckley. Estimating High-Resolution Atmospheric Phase Screens From Radar Interferometry Data. IEEE Transactions on Geoscience and Remote Sensing, 49(8):3117 -3128, August 2011. Keyword(s): SAR Processing, Persistent Scatterer Interferometry, PSI, Arizona, HiRAPS algorithm, InSAR deformation measurement, Phoenix, Radarsat-1 image, USA, bubbles, deformation time series, height error difference, high-resolution atmospheric phase screen estimation, high-spatial-frequency atmospheric effects, multiinterferogram phase correlation, nonlinear deformation, persistent scatterer algorithm, pixel density, radar interferometry data, root mean square error, satellite-orbit repeat cycle, short-period interferogram, singular value decomposition, spatiotemporal filtering, time series algorithm, time-linear deformation, topographic phase contribution, geophysical image processing, geophysical techniques, mean square error methods, radar imaging, radar interferometry, remote sensing by radar, singular value decomposition, synthetic aperture radar, time series;. [Abstract] [bibtex-entry]



3. Guoxiang Liu, Sean M. Buckley, Xiaoli Ding, Qiang Chen, and Xiaojun Luo. Estimating Spatiotemporal Ground Deformation With Improved Persistent-Scatterer Radar Interferometry. IEEE Trans. Geosci. Remote Sens., 47(9):3209-3219, September 2009. Keyword(s): AD 1992 to 2000, Arizona, C-band SAR images, EMD approach, European Remote Sensing 1-2 satellites, PS-InSAR technique, PS-neighborhood networking approach, Phoenix, USA, atmospheric artifacts, atmospheric signals, empirical mode decomposition approach, least squares method, linear deformation rates, nonlinear deformation, persistent-scatterer interferometric synthetic aperture radar technique, singular value decomposition, spatial-temporal decorrelation, subsidence, synthetic aperture radar images, temporally coherent radar targets, time series, topographic errors, geophysical techniques, radar interferometry, remote sensing by radar, synthetic aperture radar, topography (Earth);. [Abstract] [bibtex-entry]

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This collection of SAR literature is far from being complete.
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