Inverse solutions are key problems in many natural sciences. They form the basis of our understanding of the world surrounding us. Whenever we try to learn something about physical laws, the internal structure of the earth or the nature of the Universe, we collect data and try to extract the required information from these data. This is the actual solution of the inverse problem.

Evaluating Different Geophysical Monitoring Techniques for Geological Carbon Storage Lianjie Huang and Xianjin Yang 

Part I Geodetic and Surface Monitoring

Geodetic Monitoring of the Geological Storage of Greenhouse Gas Emissions Donald Vasco, Alessandro Ferretti, Alessio Rucci, Giacomo Falorni, Sergey Samsonov,  Don White, and Magdalena Czarnogorska 
Surface Monitoring, Verification, and Accounting (MVA) for Geologic Sequestration Storage Samuel Clegg, Kristy Nowak-Lovato, Robert Currier, Julianna Fessenden, and Ronald Martinez
Part II Subsurface Seismic Monitoring

Geophysics is an essential part of most modern mineral exploration programs for iron oxide copper-gold deposits. This paper reviews the important physical properties, which are the basis for the application of geophysical methods, and attempts to illustrate and summarise the ways they have been applied with data and images from selected deposits. Some comments are provided on their historical effectiveness and the role of these methods in an overall program, which must use all available data from geology, mineralogy, geochemistry and geophysics.

Nowadays, many surficial mineral deposits are being mined out, leaving only deep-seated mineral deposits for feeding raw materials into the industry. Therefore techniques applied to mineral exploration need to be revisited for discovering new mineral resources, which may be located in harsh and remote regions. Over the past decades, remote sensing technology and geographic information system (GIS) techniques have been incorporated into several mineral exploration projects worldwide. This aim is to bridge the knowledge gap for the geospatial-based discovery of buried, covered, and blind mineral deposits. This book details the main aspects of the state-of-the-art remote sensing imagery, geochemical data, geophysical data, geological data, and geospatial toolbox required to explore ore deposits. It covers advances in remote sensing data processing algorithms, geochemical data analysis, geophysical data analysis, and machine learning algorithms in mineral exploration. It also presents approaches on recent remote sensing and GIS-based mineral prospectivity modeling, which offer a piece of excellent information to professional earth scientists, researchers, mineral exploration communities, and mining companies <...>