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Books in Earth surface processes

Covering erosion, sediment transport, landscape evolution, and hydrology, this collection provides in-depth insights into dynamic surface phenomena. It supports geoscientists, geomorphologists, and environmental engineers seeking to understand and manage Earth's surface changes. Featuring innovative research, field studies, and modelling approaches, these resources help address environmental challenges, natural hazards, and land use planning, fostering sustainable interactions with our planet’s surface environments.

BooksJournals

  • Machine Learning in Geohazard Risk Prediction and Assessment

    From Microscale Analysis to Regional Mapping
    • 1st Edition
    • Biswajeet Pradhan + 2 more
    • English
    Machine Learning in Geohazard Risk Prediction and Assessment: From Microscale Analysis to Regional Mapping presents an overview of the most recent developments in machine learning techniques that have reshaped our understanding of geo-materials and management protocols of geo-risk. The book covers a broad category of research on machine-learning techniques that can be applied, from microscopic modeling to constitutive modeling, to physics-based numerical modeling, to regional susceptibility mapping. This is a good reference for researchers, academicians, graduate and undergraduate students, professionals, and practitioners in the field of geotechnical engineering and applied geology.

  • Carbon Fluxes and Biophysical Variables from Earth Observation

    Methods for Ecosystem Assessment
    • 1st Edition
    • Manuel Campos-Taberner + 2 more
    • English
    Carbon Fluxes and Biophysical Variables from Earth Observation: Methods for Ecosystem Assessment transforms the way remote sensing data can be used to approach monitoring of carbon fluxes (CF) and biophysical variables (BV) in ecosystem and global vegetation monitoring. In a field where these two subjects have traditionally been treated as distinct entities, this book offers an integrated exploration of CF and BV retrieval through remote sensing. It not only delves into a wide array of approaches and methodologies but also assists readers in selecting the most suitable models based on available inputs and spatiotemporal scales. Carbon Fluxes and Biophysical Variables from Earth Observation is a useful resource for Earth Observation specialists, particularly in Remote Sensing, machine learning, ecology, and plant physiology, to enhance and adapt their approaches and methodologies.

  • Google Earth Engine and Artificial Intelligence for Earth Observation

    Algorithms and Sustainable Applications
    • 1st Edition
    • Vishakha Sood + 3 more
    • English
    Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications explores a wide range of transformative data fusion techniques of Artificial Intelligence (AI) technologies applied to Google Earth Engine (GEE) techniques. It includes a wide range of scientific domains that can utilize remote sensing and geographic information systems (GIS) through detailed case studies. This book delves into the challenges of AI-driven tools and technologies for Earth observation data analysis, offering possible solutions and directly addressing current and upcoming needs within Earth observation. Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications is a useful reference for geospatial scientists, remote sensing experts, and environmental scientists utilizing remote sensing to apply the latest AI techniques to data obtained from GEE for their research and teaching.

  • Deep Learning for Multi-Sensor Earth Observation

    • 1st Edition
    • Sudipan Saha
    • English
    Deep Learning for Multi-Sensor Earth Observation addresses the need for transformative Deep Learning techniques to navigate the complexity of multi-sensor data fusion. With insights drawn from the frontiers of remote sensing technology and AI advancements, it covers the potential of fusing data of varying spatial, spectral, and temporal dimensions from both active and passive sensors. This book offers a concise, yet comprehensive, resource, addressing the challenges of data integration and uncertainty quantification from foundational concepts to advanced applications. Case studies illustrate the practicality of deep learning techniques, while cutting-edge approaches such as self-supervised learning, graph neural networks, and foundation models chart a course for future development.Structur... for clarity, the book builds upon its own concepts, leading readers through introductory explanations, sensor-specific insights, and ultimately to advanced concepts and specialized applications. By bridging the gap between theory and practice, this volume equips researchers, geoscientists, and enthusiasts with the knowledge to reshape Earth observation through the dynamic lens of deep learning.

  • Digital Terrain Analysis, Third Edition

    • 3rd Edition
    • Igor Florinsky
    • English
    Digital Terrain Analysis, Third Edition synthesizes knowledge on methods and applications of digital terrain analysis and geomorphometry in the context of multi-scale problems in soil science, geology, and polar research. Divided into four parts, the book examines the main concepts, principles, and methods of digital terrain modeling, methods for analysis, modeling, and mapping of spatial distribution of soil properties, techniques for recognition, analysis, and interpretation of topographically manifested geological features, and finally, polar research. This new release provides a theoretical and methodological basis for understanding and applying geographical modeling techniques.

  • Probabilistic Tsunami Hazard and Risk Analysis

    Towards Disaster Risk Reduction and Resilience
    • 1st Edition
    • Katsuichiro Goda + 3 more
    • English
    Probabilistic Tsunami Hazard and Risk Analysis: Towards Disaster Risk Reduction and Resilience covers recent calls for advances in quantitative tsunami hazard and risk analyses for the synthesis of broad knowledge basis and solid understanding of interdisciplinary fields, spanning seismology, tsunami science, and coastal engineering. These new approaches are essential for enhanced disaster resilience of society under multiple hazards and changing climate as tsunamis can cause catastrophic loss to coastal cities and communities globally.This is a low-probability high-consequence event, and it is not easy to develop effective disaster risk reduction measures. In particular, uncertainties associated with tsunami hazards and risks are large. The knowledge and skills for quantitative probabilistic tsunami hazard and risk assessments are in high demand and are required in various related fields, including disaster risk management (governments and local communities), and the insurance and reinsurance industry (catastrophe model).

  • Applications of Geospatial Technology and Modeling for River Basin Management

    • 1st Edition
    • Volume 12
    • Subodh Chandra Pal + 2 more
    • English
    Applications of Geospatial Technology and Modeling for River Basin Management, Volume Twelve covers the use of multi-temporal satellite data for accurate estimations of different watershed features. It includes methods and case studies of the use of geographic information systems (GIS) as a valuable tool for criteria-based spatial analysis to manage natural resources and accurately simulate natural phenomena such as the hydrologic response of a watershed to precipitation and susceptibility to water erosion. The book also provides direction on many types of modelling and mapping techniques in geospatial environments based on river basin management challenges. This book will be a useful guide for academics, researchers, and practitioners involved in the use of geospatial technologies for river basin management, as well as those interested in environmental management and Earth surface geomorphology.

  • Remote Sensing and GIS in Peri-Urban Research

    Perspectives on Global Change, Sustainability and Resilience
    • 1st Edition
    • Volume 11
    • Mehebub Sahana
    • English
    Remote Sensing and GIS in Peri-Urban Research: Perspectives on Global Change, Sustainability and Resilience, Eleventh Edition provides the most recent methods and techniques, incorporating geoinformatics-based practices to map, evaluate, and model urban landscape attributes and changes. The book provides theory, methodology, and future perspectives of remote sensing and GIS techniques applied to peri-urban modelling, analysis and sustainability through the use of spatio-temporal geospatial datasets. It also includes case studies of real-world data sets, with applicable algorithms, techniques and methods for study.This will be a useful reference for researchers and academics in remote sensing, GIS, and spatial analysis, and environmental or urban scientists wanting to implement remote sensing technologies in their research.

  • Remote Sensing of Climate

    • 1st Edition
    • Timothy Dube + 3 more
    • English
    Remote Sensing of Climate provides cutting-edge techniques in remote sensing of climate variability and the environment. The book focuses on methods and data analytics, advancements in scientific research in the field, and further proffers recommendations on the possible knowledge gaps and future scientific research directions. It covers eight key themes of remote sensing and climate variability, including discussions on how the various aspects from each chapter of the themes interrelate. It also integrates several divergent perspectives on remote sensing and climate variability and the environment to show the interrelationships between the perspectives.This is an important reference for those in education and research working on remote sensing and climate science who need methods, data analytics, case studies, research strides, and key knowledge gaps in the field.

  • GNSS Monitoring of the Terrestrial Environment

    Earthquakes, Volcanoes and Climate Change
    • 1st Edition
    • Yosuke Aoki + 1 more
    • English
    GNSS Monitoring of the Terrestrial Environment: Earthquakes, Volcanoes, and Climate Change presents the application of GNSS technologies to natural hazards on Earth. The book details the background theory of the GNSS techniques discussed and takes the reader through applications and implementation. Tables comparing GNSS with other geodetic techniques, such as SAR, VLBI, SLR, and conventional geodetic methods such as strainmeters, tiltmeters, and leveling surveys are also included. The book concludes with a chapter bridging both parts, discussing the relationship between earthquakes, volcanism, and climate change.The book is aimed at academics, researchers, and advanced students working in the fields of remote sensing technologies or natural hazards. It is divided into two parts, with the first covering the monitoring of earthquakes, volcanoes, and applications of GNSS signals to better understand earthquakes and volcanism, while the second part covers monitoring climate change with GNSS.

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