This book summarizes contemporary research on land degradation, desertification, and how such issues relate to socioeconomic growth in developing countries. With a focus on local and regional levels, the book offers an in-depth analysis of aeolian action as a physical process, causes of land degradation, and desertification. The causes and effects of land degradation were investigated by utilizing multiscale and multidisciplinary methodologies, merging spatial socioeconomic data with remote sensing data, and using multiple levels and disciplinary approaches. The book also describes how to combine GIS with cutting-edge technologies such as remote sensing, geostatistics, scanning electron microscopy (SEM) and energy-dispersive X-ray (EDAX) analysis, and analytical hierarchy approaches, among others. Included is a thorough case study of the unusual but understudied semi-arid Anantapur district in Andhra Pradesh, South India. This book encourages the participation of all socioeconomic groups in decision-making and assists authorities and planners in developing suitable plans for the sustainable agricultural growth of an area.

This book provides insights into the benefits of using remote sensing data from a geoscientist's perspective, by integrating the data with the understanding of Earth's surface and subsurface. In 3 sections, the book takes a detailed look at what data explorationists use when they explore for hydrocarbon resources, assess different terrain types for planning and hazards and extract present-day geologic analogs for subsurface geologic settings.

This volume delves into the intricate realm of floods, earthquakes, tsunamis, meteoritical hazards, mining-related disasters, and other major catastrophes that afflict our planet. This book takes readers on a journey to gain a deeper understanding of these phenomena, unearthing fresh insights into their causes, impacts, and strategies to mitigate their effects.

This book provides insights into the benefits of using remote sensing data from a geoscientist's perspective, by integrating the data with the understanding of Earth's surface and subsurface. In 3 sections, the book takes a detailed look at what data explorationists use when they explore for hydrocarbon resources, assess different terrain types for planning and hazards and extract present-day geologic analogs for subsurface geologic settings.
The book presents the usage of remote sensing data in exploration in a structured way by detecting individual geologic features as building blocks for complex geologic systems. This concept enables readers to build their own workflows for the assessment of complex geologic systems using various combinations of remote sensing data.

Section 1 introduces readers to the foundations of remote sensing for exploration, covers various methods of image processing and studies different digital elevation and bathymetry models. Section 2 presents the concept of geomorphology as a means to integrate surface and subsurface data. Different aspects of rendering in 2D and 3D are explained and used for the interpretation and extraction of geologic features that are used in exploration.

Section 3 addresses remote sensing for hydrocarbon exploration in detail, from geophysical data acquisition to development and infrastructure planning. The organization of this chapter follows an exploration workflow from regional to local modeling studying basin and petroleum system modeling as well as logistics planning of seismic surveys and near-surface modeling. Aspects of field development and infrastructure planning comprise multi-temporal and dynamic modeling. The section closes with a structured approach to extracting geologic analogs from interpreted remote sensing data.

The book will be of interest to professionals and students working in exploration for hydrocarbons and water resources, as well as geoscientists and engineers using remote sensing for infrastructure planning, hazard assessment and dynamic environmental studies.

This volume provides in-depth coverage of the latest in remote sensing of hydrological extremes: both floods and droughts. The book is divided into two distinct sections – floods and droughts – and offers a variety of techniques for monitoring each.

This book provides insights into the benefits of using remote sensing data from a geoscientist's perspective, by integrating the data with the understanding of Earth's surface and subsurface. In 3 sections, the book takes a detailed look at what data explorationists use when they explore for hydrocarbon resources, assess different terrain types for planning and hazards and extract present-day geologic analogs for subsurface geologic settings.

This book of Advances in Deep Learning, Artificial Intelligence and Robotics (proceedings of ICDLAIR 2020) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of modern artificial intelligence and robotics. Deep Learning, AI and robotics represent key ingredients for the 4th Industrial Revolution.