Radar interferometry is a space-geodetic technique used to measure the Earth's topography and deformation. This book presents research on radar interferometry, focusing on data interpretation and error analysis. The research was conducted over five and a half years, starting in 1995, and was motivated by the potential of this technique for wide-scale, high-resolution deformation measurements. The book discusses the principles of radar, imaging radar, and radar interferometry, as well as the processing procedures for obtaining interferometric products such as digital elevation models and deformation maps. It describes spaceborne repeat-pass radar interferometry using a linear or Gauss-Markoff model formulation, which relates interferometric observations to unknown geophysical parameters. The stochastic part of the model describes the dispersion of observations in terms of variances and covariances. The book also discusses the influence of spatially correlated errors, such as those induced by satellite orbits and atmospheric path delay. Mathematical models are presented that describe the spatial variability in the interferometric phase due to turbulent mixing of atmospheric refractivity and vertical atmospheric stratification. Using 52 SAR acquisitions, a systematic inventory of the characteristics of atmospheric signals in radar interferograms is performed, using complementary meteorological data for interpretation. Scaling characteristics are observed, which can be conveniently used to describe the power spectrum and covariance function of the atmospheric signal. The final variance-covariance matrix for radar interferometric data is presented, including these spatially varying error sources. The book also presents case studies on deformation monitoring, such as land subsidence, earthquake deformation, and artificial reflector movement, as examples of the application of interferometry and its error sources. The feasibility of the technique for practical geodetic applications is evaluated in relation to the geophysical phenomena of interest, yielding rules-of-thumb for its utilization. Finally, a novel application of interferometry for atmospheric studies, termed Interferometric Radar Meteorology, is presented and discussed. Maps of the vertically integrated water vapor distribution during radar acquisitions can be obtained with fine spatial resolution and high accuracy. Several demonstration studies of this meteorological application are presented.Radar interferometry is a space-geodetic technique used to measure the Earth's topography and deformation. This book presents research on radar interferometry, focusing on data interpretation and error analysis. The research was conducted over five and a half years, starting in 1995, and was motivated by the potential of this technique for wide-scale, high-resolution deformation measurements. The book discusses the principles of radar, imaging radar, and radar interferometry, as well as the processing procedures for obtaining interferometric products such as digital elevation models and deformation maps. It describes spaceborne repeat-pass radar interferometry using a linear or Gauss-Markoff model formulation, which relates interferometric observations to unknown geophysical parameters. The stochastic part of the model describes the dispersion of observations in terms of variances and covariances. The book also discusses the influence of spatially correlated errors, such as those induced by satellite orbits and atmospheric path delay. Mathematical models are presented that describe the spatial variability in the interferometric phase due to turbulent mixing of atmospheric refractivity and vertical atmospheric stratification. Using 52 SAR acquisitions, a systematic inventory of the characteristics of atmospheric signals in radar interferograms is performed, using complementary meteorological data for interpretation. Scaling characteristics are observed, which can be conveniently used to describe the power spectrum and covariance function of the atmospheric signal. The final variance-covariance matrix for radar interferometric data is presented, including these spatially varying error sources. The book also presents case studies on deformation monitoring, such as land subsidence, earthquake deformation, and artificial reflector movement, as examples of the application of interferometry and its error sources. The feasibility of the technique for practical geodetic applications is evaluated in relation to the geophysical phenomena of interest, yielding rules-of-thumb for its utilization. Finally, a novel application of interferometry for atmospheric studies, termed Interferometric Radar Meteorology, is presented and discussed. Maps of the vertically integrated water vapor distribution during radar acquisitions can be obtained with fine spatial resolution and high accuracy. Several demonstration studies of this meteorological application are presented.