Earth Observation: Sustainable Development Perspectives offers expert insights into the latest progress made in terrestrial, oceanic, and atmospheric processes, and their inter-linkage in the face of changing climate using earth observation. Reviewing contemporary research, this volume addresses various challenges faced in agricultural research and education, crop production forecasting, agroforestry, floriculture, horticulture, crop insurance and marine resources utilization for sustainable development in the warming world. The editors examine the advances made in understanding the changing dynamics of various ecosystems such as land use, water resources, ecosystem productivity and biodiversity.In addition, the book addresses ocean-atmosphere interactions, modes of climate variations such as, El Nino and Indian Ocean dipole, extreme events, tropical cyclone, summer monsoon and distribution of organic matter and interlinks among various ocean-atmosphere phenomena. The use of advanced data sets, measurements techniques, modeling and analytics protocols, analyses methods and interpretations are also discussed.
Earth Observation Applications to Landslide Mapping, Monitoring and Modeling: Cutting-edge Approaches with Artificial Intelligence, Aerial and Satellite Imagery focuses on the application of drone and satellite imagery for landslide mapping, monitoring, and modeling. The topics covered include the use of ultrahigh spatial resolution imagery acquired by UAVs (Unmanned Aerial Vehicles) for mapping and predicting landslide activity, the use of satellite imagery for monitoring landslide activity, the assimilation of EO (Earth Observation) data into landslide susceptibility and hazard prediction models, and the building of landslide inventories. The primary objective of this book is the advancement of the scientific understanding and application of technologies to address a variety of areas related to landslide mapping and monitoring for robust and sustainable development. Earth Observation Applications to Landslide Mapping, Monitoring and Modelling be useful for PhD students, postdoctoral researchers, professors, and scientists in geoscience.
Geophysics and the Energy Transition involves four sections: What is the Energy Transition and why storage so important; selecting sites for storage; advanced monitoring technology; and moving forward to integrating Carbon Capture and Storage (CCS) within the Energy Transition. Geophysics will also play a role in finding and developing alternatives to fossil fuels such as natural hydrogen and geothermal using much of the knowledge gained from the CO2 storage industry. To provide the public and others with the confidence to move forward with a structured and cost-effective energy transition, this book provides the necessary evidence that we can store CO2 safely and effectively and use this as a significant component of the energy transition. We can also find and store new energy sources.   Geophysics and the Energy Transition is written by experts in the field who have practiced the science and engineering associated with the subsurface for years. CCS is an integral component of the new energy transition but the application of Geophysics in the future will extend well beyond CCS if we are going to transition successfully to a carbon neutral environment. Science, engineering, and technology applications are important for site selection, characterization and monitoring to assure safe storage in the subsurface and energy sustainability in the future. 
New Generation SAR for Earth Environment Observation discusses three aspects of new generation SAR remote sensing, including (1) The latest research status and development trends, the basic theories, and methods of new generation SAR, (2) The new or original concepts, methods and typical applications of new generation SAR information processing and parameter inversion, and (3) A new idea of SAR information integration processing and environmental parameter inversion technique which represents a new SAR science application mode that has the capability to improve the SAR remote-sensing quantitative application level and promote the development of new theories and methodologies.
Remote Sensing of Soil and Land Surface Processes: Monitoring, Mapping, and Modeling couples artificial intelligence and remote sensing for mapping and modeling natural resources, thus expanding the applicability of AI and machine learning for soils and landscape studies and providing a hybridized approach that also increases the accuracy of image analysis. The book covers topics including digital soil mapping, satellite land surface imagery, assessment of land degradation, and deep learning networks and their applicability to land surface processes and natural hazards, including case studies and real life examples where appropriate. This book offers postgraduates, researchers and academics the latest techniques in remote sensing and geoinformation technologies to monitor soil and surface processes.
Small Angle X-Ray and Neutron Scattering with Applications to Geomaterials provides techniques for the analysis of geomaterials, which is of great significance for humans because geomaterials are related to earthquake, resource development, underground spaces, carbon dioxide storage, and more. The book introduces the fundamental theory of small angle X-ray and neutron scattering and covers pore accessibility characterization for natural rocks from four aspects, including quantitative evaluation of pore structure heterogeneity and anisotropy, quantification of pore modification in coals due to pulverization, estimation and modeling of coal pore accessibility, and nanoscale coal deformation and alteration of porosity and pore orientation under uniaxial compression. Finally, interactions between pore structures and fluid behaviors in geomaterials are introduced, along with the connections between small-angle scattering and other techniques (NMR cytophotometry, Transmission Electron Microscopy and synchrotron radiation SAXS and nano-CT) described.
Radar Remote Sensing: Applications and Challenges advances the scientific understanding, development, and application of radar remote sensing using monostatic, bistatic and multi-static radar geometry. This multidisciplinary reference pulls together a collection of the recent developments and applications of radar remote sensing using different radar geometry and platforms at local, regional and global levels. Radar Remote Sensing is for researchers and practitioners with earth and environmental and meteorological sciences, who are interested in radar remote sensing in ground based scatterometer and SAR systems; air borne scatterometer and SAR systems; space borne scatterometer and SAR systems.
Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization focuses on the development and application of electromagnetic measurement methodologies and their interpretation techniques for subsurface characterization. The book guides readers on how to characterize and understand materials using electromagnetic measurements, including dielectric permittivity, resistivity and conductivity measurements. This reference will be useful for subsurface engineers, petrophysicists, subsurface data analysts, geophysicists, hydrogeologists, and geoscientists who want to know how to develop tools and techniques of electromagnetic measurements and interpretation for subsurface characterization.
Modeling of Resistivity and Acoustic Borehole Logging Measurements Using Finite Element Methods provides a comprehensive review of different resistivity and sonic logging instruments used within the oil industry, along with precise and solid mathematical descriptions of the physical equations and corresponding FE formulations that govern these measurements. Additionally, the book emphasizes the main modeling considerations that one needs to incorporate into the simulations in order to obtain reliable and accurate results. Essentially, the formulations and methods described here can also be applied to simulate on-surface geophysical measurements such as seismic or marine controlled-source electromagnetic (CSEM) measurements. Simulation results obtained using FE methods are superior. FE methods employ a mathematical terminology based on FE spaces that facilitate the design of sophisticated formulations and implementations according to the specifics of each problem. This mathematical FE framework provides a highly accurate, robust, and flexible unified environment for the solution of multi-physics problems. Thus, readers will benefit from this resource by learning how to make a variety of logging simulations using a unified FE framework.
Over the past several years, there has been a growing integration of data – geophysical, geological, petrophysical, engineering-related, and production-related – in predicting and determining reservoir properties. As such, geoscientists now must learn the technology, processes, and challenges involved within their specific functions in order to optimize planning for oil field development. Applied Techniques to Integrated Oil and Gas Reservoir Characterization presents challenging questions encountered by geoscientists in their day-to-day work in the exploration and development of oil and gas fields and provides potential solutions from experts. From basin analysis of conventional and unconventional reservoirs, to seismic attributes analysis, NMR for reservoir characterization, amplitude versus offset (AVO), well-to-seismic tie, seismic inversion studies, rock physics, pore pressure prediction, and 4D for reservoir monitoring, the text examines challenges in the industry as well as the techniques used to overcome those challenges. This book includes valuable contributions from global industry experts: Brian Schulte (Schiefer Reservoir Consulting), Dr. Neil W. Craigie (Saudi Aramco), Matthijs van der Molen (Shell International E&P), Dr. Fred W. Schroeder (ExxonMobil, retired), Dr. Tharwat Hassane (Schlumberger & BP, retired), and others.