TL;DR: In this paper, the authors compare neutral delay GPS and InSAR for deformation monitoring in radar system theory and interferometric processing, and propose a stochastic model for radar interferometry.
Abstract: Preface. Summary. Nomenclature. 1. Introduction. 2. Radar system theory and interferometric processing. 3. Functional model for radar interferometry. 4. Stochastic model for radar interferometry. 5. Data analysis and interpretation for deformation monitoring. 6. Atmospheric monitoring. 7. Conclusions and recommendations. A. Comparison neutral delay GPS and InSAR. B. Structure function and power spectrum. Bibliography. About the Author. Index.
TL;DR: In this paper, a volume on radar polarimetry for geoscience applications discusses wave properties and polarization, scattering matrix representation for simple targets, scattering models for point and distributed targets, polarimetric scatterometer systems and measurements.
Abstract: The present volume on radar polarimetry for geoscience applications discusses wave properties and polarization, scattering matrix representation for simple targets, scattering models for point and distributed targets, polarimetric scatterometer systems and measurements, polarimetric radar system design, and polarimetric SAR applications. Attention is given to plane waves in a lossless homogeneous medium-wave polarization, polarization synthesis and response, and coordinate system transformations. Topics addressed include high- and low-frequency scattering, rough-surface scattering models, radiative transfer theory and deficiencies thereof, solutions for the radiative transfer equation, and a radiative transfer model for a forest canopy. Also discussed are network analyzer-based polarimetric scatterometers, calibration of polarimetric scatterometers, synthesized polarization response of distributed targets, and measurement of the propagation parameters of a forest canopy.
TL;DR: In this article, the authors present a theory explaining the large radar signatures of internal waves in which the imaging is attributed to variations in the short-scale surface roughness induced by current variations associated with internal waves.
Abstract: Radar images taken over ocean areas, in particular, those obtained by the synthetic aperture radar (SAR) onboard the American Seasat satellite in 19781,2, sometimes show features that seem to be surface manifestations of oceanic internal waves3–11. Here I present a theory explaining the large radar signatures of internal waves in which the imaging is attributed to variations in the short-scale surface roughness induced by current variations associated with internal waves.
TL;DR: The Wellen Radar (WERA) as discussed by the authors was developed at the University of Hamburg to measure surface currents and wave spectra by transmitting frequency-modulated continuous wave chirps instead of continuous wave (CW) pulses.