Advanced Algorithms for Mineral and Hydrocarbon Exploration Using Synthetic Aperture Radar is a research- and practically-based reference that bridges the gap between the remote sensing industry and the mineral and hydrocarbon exploration industry. In this context, the book explains how to commercialize the applications of synthetic aperture radar and quantum interferometry synthetic aperture radar (QInSAR) for mineral and hydrocarbon exploration. This multidisciplinary reference is useful for oil and gas companies, the mining industry, geoscientists, and coastal and petroleum engineers. Presents both theoretical and practical applications of various types of remote sensing for hydrocarbon and mineral exploration Covers specific problems for exploration professionals and provides applications for solving each problem Includes more than 100 images and figures to help explain the concepts and applications described in the book

Opening Remarks and spectral signatures which are manifested on satellite imagery data. The debut of satellite imaging systems on board This book aims to fill that gap. It is based on ex Landsat I in 1972 was a technological advance of perience gained in the past 14 years by me and considerable interest to earth scientists in general other members of the remote sensing and the and exploration geologists in particular. Two major structural analysis research groups at Exxon Pro uses were anticipated for the satellite data. First, it duction Research Company. Explorationists from was expected to replace the traditional aerial pho various Exxon affiliates which have used image tograph that had proven to be useful for mapping data to support hydrocarbon exploration have also geological structures, whether well exposed at the contributed. The examples used here, therefore, surface or obscured by thick vegetative and soil co are taken directly from Exxon's case studies and verage. In addition, it was predicted that the spec training material. The reader must bear in mind tral information provided by the imaging systems that some of the examples which are illustrated could be used to directly detect hydrocarbons from here have been modified to some extent for the sake space. of simplicity as well as for proprietary reasons.

Synthetic Aperture Radar Image Processing Algorithms for Nonlinear Oceanic Turbulence and Front Modelling is both a research- and practice-based reference that bridges the gap between the remote sensing field and the dynamic oceanography exploration field. In this perspective, the book explicates how to apply techniques in synthetic aperture radar and quantum interferometry synthetic aperture radar (QInSAR) for oceanic turbulence and front simulation and modelling. The book includes detailed algorithms to enable readers to better understand and implement the practices covered in their own work and apply QInSAR to their own research.This multidisciplinary reference is useful for researchers and academics in dynamic oceanography and modelling, remote sensing and aquatic science, as well as geographers, geophysicists, and environmental engineers Details the potential of synthetic aperture radar in imaging ocean surface dynamical features Includes detailed algorithms and methods, allowing readers to develop their own computer algorithms Covers the latest applications of quantum image processing