This book, authored by Ramon F. Hanssen and published by Kluwer Academic Publishers, is a comprehensive study on radar interferometry, focusing on data interpretation and error analysis. It covers the fundamentals of radar systems, imaging radar, and radar interferometry, including the processing techniques for obtaining interferometric products such as digital elevation models and deformation maps. The book delves into the linear and Gauss-Markoff models used to relate interferometric observations to geophysical parameters, addressing the dispersion of observations through variances and covariances. It discusses the influence of spatially correlated errors, particularly those induced by satellite orbits and atmospheric path delay. The stochastic part of the model describes the spatial variability in interferometric phase due to atmospheric refractivity and stratification. The book presents a systematic inventory of atmospheric signal characteristics in radar interferograms using complementary meteorological data. Case studies on deformation monitoring, such as land subsidence, earthquake deformation, and artificial reflector movement, are used to illustrate the application of interferometry and its error sources. The book also evaluates the feasibility of interferometry for practical geodetic applications and introduces a novel application called Interferometric Radar Meteorology, which can map vertically integrated water vapor distribution with high spatial and temporal resolution. The author acknowledges the contributions of numerous individuals and organizations, and the research was supported by various institutions and funding bodies.This book, authored by Ramon F. Hanssen and published by Kluwer Academic Publishers, is a comprehensive study on radar interferometry, focusing on data interpretation and error analysis. It covers the fundamentals of radar systems, imaging radar, and radar interferometry, including the processing techniques for obtaining interferometric products such as digital elevation models and deformation maps. The book delves into the linear and Gauss-Markoff models used to relate interferometric observations to geophysical parameters, addressing the dispersion of observations through variances and covariances. It discusses the influence of spatially correlated errors, particularly those induced by satellite orbits and atmospheric path delay. The stochastic part of the model describes the spatial variability in interferometric phase due to atmospheric refractivity and stratification. The book presents a systematic inventory of atmospheric signal characteristics in radar interferograms using complementary meteorological data. Case studies on deformation monitoring, such as land subsidence, earthquake deformation, and artificial reflector movement, are used to illustrate the application of interferometry and its error sources. The book also evaluates the feasibility of interferometry for practical geodetic applications and introduces a novel application called Interferometric Radar Meteorology, which can map vertically integrated water vapor distribution with high spatial and temporal resolution. The author acknowledges the contributions of numerous individuals and organizations, and the research was supported by various institutions and funding bodies.