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Books in Earth and planetary sciences

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

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1-10 of 2004 results in All results

Geoheritage

  • 2nd Edition
  • May 1, 2025
  • Emmanuel Reynard + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 8 9 9 7 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 8 9 9 8 - 9
Geoheritage: Assessment, Protection, and Management covers the breadth of geoheritage including geodiversity, geoconservation, geotourism and geoparks; it also explores the relationship of geoheritage to landscapes, conservation, and tourism. The book includes methodologies for assessment, mapping, and visualization; along with 12 geographically varied case studies, and ~200 figures and maps of some of the most important global geosites. This second edition significantly expands the previous coverage and adds new chapters on relationships of geoheritage and geodiversity with biodiversity, climate change, natural hazards, ecosystem services, education and urbanization. Geoheritage Second Edition is an essential resource for geoscientists and students working in the fields of geoheritage, geosites, geomorphosites, geoconservation, and geotourism.

Presolar Grains in Extra-Terrestrial Materials

  • 1st Edition
  • March 1, 2025
  • Sachiko Amari
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 1 8 3 0 - 3
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 1 8 3 1 - 0
Presolar Grains in Extra-Terrestrial Materials: Probing Stars with Stardust presents the latest research on presolar grains and their stellar sources in a cohesive resource for bringing researchers in cosmochemistry, astrophysics, and astronomy up to speed on the state-of-the-art developments, analysis, and future implications. Beginning with a historical perspective on the study of presolar grains, the book then reviews the properties and features of a variety of presolar grains, including sililcon carbide, graphite, diamonds, oxides, and silicates. It also includes techniques for analyzing presolar grains in the lab, and covers the stars that are considered sources of presolar grains, such as asymptotic giant branch (AGB) stars, supernovae, novae, and born-again AGB stars. Condensation calculations in various types of stars and minerals observed and/or expected in the stellar atmospheres and presolar grains are also presented.By providing the latest state in the study of of presolar grains and relevant fields of astronomy and astrophysics, Presolar Grains in Extra-Terrestrial Materials serves as an up-to-date summary of data, analysis, and implications of the study of presolar grains and their stellar sources.

Deep Learning for Earth Observation and Climate Monitoring

  • 1st Edition
  • March 1, 2025
  • Uzair Aslam Bhatti + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 4 7 1 2 - 5
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 4 7 1 3 - 2
Deep Learning for Earth Observation and Climate Monitoring bridges the gap between deep learning and the Earth sciences, offering cutting-edge techniques and applications that are transforming our understanding of the environment. With a focus on practical scenarios, this book introduces readers to the fundamental concepts of deep learning, from classification and image segmentation to anomaly detection and domain adaptability. The book includes practical discussion on regression, parameter retrieval, forecasting, and interpolation, among other topics. With a solid foundational theory, real-world examples, and example codes, it provides a full understanding of how intelligent systems can be applied to enhance Earth observation and especially climate monitoring.This book allows readers to apply learning representations, unsupervised deep learning, and physics-aware models to Earth observation data, enabling them to leverage the power of deep learning to fully utilize the wealth of environmental data from satellite technologies.

Climate and Natural Hazard Risks

  • 1st Edition
  • March 1, 2025
  • Peter Sammonds + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 7 3 6 8 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 7 3 6 9 - 8
Climate and Natural Hazard Risks is an in-depth examination of the physical, environmental, economic, and social impacts of climate change and natural hazards on vulnerable populations in different areas around the world. The authors open with the simple question “what is risk?,” taking a detailed look at global trends and risk frameworks as they relate to climate change. From there, the chapters systematically review different hazards and their implications for risk and resilience (hurricanes, cyclones, flooding, extreme temperatures, food insecurity, earthquakes, tsunamis). The authors then delve into the latest research and data surrounding probabilistic hazard assessment and multi-hazard risk assessment. The book closes with a thoughtful discussion on resilience and the wide-reaching impacts of environmental transitions. Professionals working across climate change, environmental risk assessment, and disaster resilience will find much to consider in this thought-provoking text.

Google Earth Engine and Artificial Intelligence for Earth Observation

  • 1st Edition
  • March 1, 2025
  • Vishakha Sood + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 7 3 7 2 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 7 3 7 3 - 5
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. The book includes a wide range of scientific domains that can utilize remote sensing and geographic information systems (GIS) through detailed case studies. It 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.This 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.

Computational Automation for Water Security

  • 1st Edition
  • March 1, 2025
  • Ashutosh Kumar Dubey + 4 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 3 3 3 2 1 - 7
  • eBook
    9 7 8 - 0 - 4 4 3 - 3 3 3 2 2 - 4
Computational Automation for Water Security: Enhancing Water Quality Management is a comprehensive and insightful guide which explores the challenges posed by inefficient and outdated practices, presenting innovative solutions to enhance decision-making, optimizing water treatment processes, and ultimately improving environmental outcomes. Through the coverage of advanced computational techniques, such as data analysis, machine learning, and optimization strategies, readers will gain a deep understanding of how computational automation can revolutionize decision-making. This book is an invaluable resource for professionals, researchers, and policymakers seeking to stay at the forefront of water quality management practices, harnessing the power of computational automation for a cleaner, healthier future.

Vertebrate Ichnology

  • 1st Edition
  • March 1, 2025
  • Spencer G Lucas + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 3 8 3 5 1 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 3 8 3 5 2 - 6
Vertebrate Ichnology: Fish Ichnology, Consumption, Burrows and Reproduction, Geoconservation is a comprehensive and meticulously researched review and analysis of the entire vertebrate trace fossil record, shedding light on lesser-known vertebrate traces beyond footprints. From vertebrate burrows to the ichnology of reproduction, each chapter provides valuable insights and up-to-date information. The book explores a wide range of topics including consumption through coprolites, dentalites, regurgitalites, and more, including other trace fossils that are evidence of vertebrate predation and consumption. This authoritative reference provides students, researchers, and professionals in the field of Earth and Planetary sciences with detail on geological heritage of vertebrate ichnosites and their importance in geoconservation efforts.

Earth Observation

  • 1st Edition
  • February 1, 2025
  • Mukunda Behera + 4 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 4 0 7 2 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 4 0 7 3 - 0
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.

South Asian Summer Monsoon

  • 1st Edition
  • February 1, 2025
  • Madhavan Nair Rajeevan + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 9 4 5 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 9 4 4 - 1
South Asian Summer Monsoon: Processes, Prediction, and Societal Impacts provides a stronger understanding of the monsoon environment and new information on the structure and dynamics of monsoon weather systems, onset and withdrawal processes, South Asian monsoon variability at all time scales, from Diurnal to multi-decadal, and human influence on the changing monsoon climate. Readers will also find updates on the present status and capability of short-to-medium range, extended-range, and seasonal monsoon prediction methods. Finally, the book's authors discuss the role of monsoon forecasts for sectoral applications in agriculture, water resources, drought and flood management, disaster management, public health, and energy.

Deep Learning for Multi-Sensor Earth Observation

  • 1st Edition
  • February 1, 2025
  • Sudipan Saha
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 6 4 8 4 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 6 4 8 5 - 6
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.Structured 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.

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