Advanced Tools for Studying Soil Erosion Processes: Erosion Modelling, Soil Redistribution Rates, Advanced Analysis, and Artificial Intelligence presents the most recent technologies and methods in quantifying soil erosion, focusing on quantitative geomorphological assessment, soil erosion interaction with natural and man-made hazards using new methods, and technologies that employ GIS, remote sensing (RS), spatial modeling, and machine learning tools as an effective plan for decision-makers and land users.Organized into three parts: 1) Erosion processes and impacts, 2) Advanced computing techniques to quantify soil erosion, and 3) Methods of Soil Erosion, this book will be an invaluable source material for researchers, academicians, graduate and undergraduate students, and professionals in the field of geology, specifically focused on geographic information systems and remote sensing. - Provides an overview of soil erosion and its interaction with natural hazards (i.e., geological, hydrological, meteorological, and biological) - Introduces advanced tools and technologies in soil erosion management - Presents future soil erosion opportunities and challenges

Degradation of agricultural catchments due to water erosion is a major environmental threat at the global scale, with long-lasting destructive consequences valued at tens of billions of dollars per annum. Eroded soils lead to reduced crop yields and deprived agroecosystem’s functioning through, for example, decreased water holding capacity, poor aeration, scarce microbial activity, and loose soil structure. This can result in reduced carbon sequestration, limited nutrient cycling, contamination of water bodies due to eutrophication, low protection from floods and poor attention restoration—consequences that go far beyond the commonly modelled soil loss and deposition budgets. This book demonstrates, using data from the Harod catchment in northern Israel, how cutting-edge geoinformatics, data science methodologies and soil health indicators can be used to measure, predict, and regulate these major environmental hazards. It shows how these approaches are used to quantify—in time and space—the effect of water erosion not only on the soil layer, soil minerals, and soil loss, but also on the wide-range of services that agricultural ecosystems might supply for the benefit and well-being of humans. The algorithms described in this book play a major role in this paradigm shift and they include, for example, extraction of photogrammetric DEMs from drone's data, advanced drainage structure calculations, fuzzy process-based modelling and spatial topographic threshold computations, multicriteria analyses and expert-based systems development using analytic hierarchal processes, innovative data-mining and machine learning tools, autocorrelation and interpolation of soil health, physically-based soil evolution models, spatial decision support systems and many more.

International Journal of Advanced Remote Sensing and GIS (IJARSG, ISSN 2320 – 0243) is an open-access peer-reviewed scholarly journal publishes original research papers, reviews, case study, case reports, and methodology articles in all aspects of Remote Sensing and GIS including associated fields. This Journal commits to working for quality and transparency in its publishing by following standard Publication Ethics and Policies.

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. - Introduces object-based concepts and applications, enhancing monitoring capabilities and increasing the accuracy of mapping - Couples artificial intelligence and remote sensing for mapping and modeling natural resources, expanding the applicability of AI and machine learning for soils and sediment studies - Includes the use of new sensors and their applications to soils and sediment characterization - Includes case studies from a variety of geographical areas

This book explains the challenges for efficient sustainable surface and groundwater development and management with the focus on India and other countries, providing a stable output presentation by using machine learning data mining methods, and modeling. It is a combination of machine learning, modeling, google earth engine, climate data modeling, remote sensing and GIS techniques, surface water modeling, AHP modeling, groundwater quality analysis, aquifer mapping, land use and land cover analysis, forecasting of water and rainfall and so on, its use to sustainable development, planning, and management of groundwater purposes in India and other countries. The main purpose of this book will develop better outlines for the development of surface and groundwater and management in the semi-arid region climate, which supports the Sustainable Development Goals (SDGs) in India, especially on sustainable surface water and groundwater resources management. This book provides a multidisciplinary overview for the faculty members, administrators scientists, policymakers, social science, and professionals involved in the various aspects of sustainable groundwater development, planning, and management.

This book studies land use change in tropical landscapes, with particular emphasis on the economic processes that influence rates of land degradation and forest clearing. Multidisciplinary contributions draw lessons from data collected between 1992 and 2004 in the Manupali watershed in southern Philippines. Through this detailed case study, the book documents forces leading to land use changes, in particular the potential impacts of institutional evolution and policy reforms, and highlights interrelationships among biological, economic, and social phenomena. This book will be of interest to those studying natural resource economics, soil and water conservation, land use, and agricultural development. The book has 12 chapters and a subject index.

This book informs about knowledge gain in soil and land degradation to reduce or prevent it for meeting the mission of the Sustainable Developments Goals of the United Nations. Essence, extent, monitoring methods and implications for ecosystem functioning of main soil degradation types are characterized in overview chapters and case studies. Challenges, approaches and data towards identification of degradation in the frame of improving functionality, health and multiple ecosystem services of soil are demonstrated in the studies of international expert teams. The book consists of five parts, containing 5–12 single chapters each and 36 in total. Parts are explaining (I) Concepts and Indicators, (II) Soil Erosion and Compaction, (III) Soil Contamination, (IV) Soil Carbon and Fertility Monitoring and (V) Soil Survey and Mapping of Degradation The primary audience of this book are scientists of different disciplines, decision-makers, farmers and further informed people dealing with sustainable management of soil and land.

Advanced Tools and Models to Improve River Basin Management in Europe in the Context of Climate Change - AquaTerra has developed from an integrated project of the 6th EU RTD Framework Programme that aims to provide the scientific basis for an improved river basin management through a better understanding of the river-sediment-soil-groundwater system as a whole, by integrating both natural and socio-economics aspects at different temporal and spatial scales. This book aims: To provide better understanding of the river-sediment-soil-groundwater system at various temporal and spatial scales To relate expected climate alterations to changes in deposition, mobility and distribution of pollutants in European river basins To provide the scientific basis for improved river basin management To introduce novel tools for water and soil quality monitoring To show the necessity of integrated modelling frameworks for impact evaluation of pollution as well as climate and land-use changes for definition of long-term management schemes The work illustrates the dynamic behavior of the pathway of pollutants in soils, groundwater, surface water and sediments. It highlights the fundamental importance of integrating knowledge from several combined disciplines on various environmental compartments in order to understand the large number of processes that govern pollutant input, transport and turnover. Results shows that a significant step forward has been made in the development new analytical methods and of process-based numerical models that are capable of making predictions of likely trends and environmental changes to be expected in the near or distant future at the basin-scale. These models can be used e.g. to generate hydrologic scenarios based on climate models and to simulate pollutant distribution and turnover rates from decades to millennia.

During geologic spans of time, Earth's shifting tectonic plates, atmosphere, freezing water, thawing ice, flowing rivers, and evolving life have shaped Earth's surface features. The resulting hills, mountains, valleys, and plains shelter ecosystems that interact with all life and provide a record of Earth surface processes that extend back through Earth's history. Despite rapidly growing scientific knowledge of Earth surface interactions, and the increasing availability of new monitoring technologies, there is still little understanding of how these processes generate and degrade landscapes. Landscapes on the Edge identifies nine grand challenges in this emerging field of study and proposes four high-priority research initiatives. The book poses questions about how our planet's past can tell us about its future, how landscapes record climate and tectonics, and how Earth surface science can contribute to developing a sustainable living surface for future generations.