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Elsevier

Libros en Procesos de Superficie Terrestre

  • Geological History of Earth's Climate

    • 1 Edición
    • F.P. Agterberg + 1 más
    • Inglés
    Geologic History of the Earth’s Climate offers an exhaustive examination of Earth's climate oscillations across the Paleozoic, Mesozoic, and Cenozoic eras. Through advanced mathematical modeling techniques and spectral analysis, it dissects the statistical attributes of meteorological phenomena across geological time boundaries from the Anthropocene to the Quaternary epoch. Central to the book's theory is the Pareto-lognormal distribution, a heavy-tailed frequency distribution that sheds light on the profound impact of greenhouse gas concentrations on an evolving Earth and the impact of these changes on our planet’s dynamics. Geologic History of the Earth’s Climate serves as an indispensable resource for scientists and researcher, providing mathematical approaches to unraveling the intricacies of Earth's climatic past, geological history, dynamics.

  • SAR Oceanography

    Monitoring Oceanic Dynamics with Synthetic Aperture Radar
    • 1 Edición
    • Weizeng Shao
    • Inglés
    SAR Oceanography: Monitoring Oceanic Dynamics with Synthetic Aperture Radar is an authoritative reference for scientists and professionals involved in marine remote sensing and oceanography. The book addresses the critical need for advanced techniques to observe and analyze ocean surface phenomena such as wind, waves, currents, internal waves, and oil spills using SAR technology. It emphasizes the importance of SAR in tropical cyclone monitoring, providing insights into high-resolution, all-weather, day-and-night observations essential for climate research, disaster response, and maritime safety. The content is divided into chapters covering SAR algorithms, applications in different oceanic processes, and recent technological developments. It offers practical case studies and validation methods, making it a valuable resource for researchers, meteorologists, environmental policymakers, and remote sensing specialists. This publication enhances understanding of ocean dynamics and supports sustainable marine management through cutting-edge SAR applications.

  • The Soil Nexus

    Understanding Ecosystem Dynamics and Digital Innovations
    • 1 Edición
    • Hamid Reza Pourghasemi + 1 más
    • Inglés
    The Soil Nexus: Understanding Ecosystem Dynamics and Digital Innovations explores the intricate relationships between soil health, ecosystem function, and cutting-edge technologies. This comprehensive book examines the critical role of soil in biogeochemical cycles, microbial dynamics, and sustainable agricultural practices, while also addressing contemporary challenges such as climate change and urbanization. Key methodologies, including digital soil mapping, artificial intelligence, and innovative restoration techniques, are examined in detail, providing readers with practical insights and case studies that illustrate the real-world applications of these advancements. This book serves as an invaluable resource for soil scientists and environmental researchers engaged in soil studies and management. Graduate students and professionals will find the comprehensive analysis of emerging technologies and methodologies particularly beneficial for enhancing their research and practical applications. By bridging theoretical knowledge with actionable insights, The Soil Nexus: Understanding Ecosystem Dynamics and Digital Innovations equips readers to navigate complex soil-related challenges while promoting collaborative efforts in soil stewardship.

  • Remote Sensing for Vegetation Monitoring

    Technologies, Applications and Models
    • 1 Edición
    • Prem Chandra Pandey + 3 más
    • Inglés
    Remote Sensing for Vegetation Monitoring: Technologies, Applications and Models provides insight on the pivotal role that remote sensing plays in vegetation monitoring. As traditional field assessments face challenges due to inaccessible study sites and lengthy data collection, this book offers a comprehensive view of remote sensing applications for monitoring various vegetation ecosystems, including forests, grasslands, mangroves, and agriculture. The book presents a coherent and consistent structure, across five sections that build upon prior knowledge and detail the quantitative and qualitative assessments made possible through remote sensing technologies. Remote Sensing for Vegetation Monitoring: Technologies, Applications and Models caters to a diverse audience, including researchers and practitioners seeking to navigate the evolving landscape of vegetation monitoring through case studies, new algorithms and state-of-the-art methods.

  • Phanerozoic Large Igneous Provinces

    A Comparative Approach
    • 1 Edición
    • Gregory Shellnutt + 1 más
    • Inglés
    Phanerozoic Large Igneous Provinces: A Comparative Approach offers a comprehensive exploration of the intricacies of large igneous provinces (LIPs) by adopting a multidisciplinary approach that unravels the geological, thermal, and biological repercussions of LIP formation. The rapid emplacement of these provinces, often associated with continental break-up, mineral deposits, and mass extinctions remains a subject of intense debate. This book presents an accessible, yet detailed, analysis of several Phanerozoic LIPs, strategically selected for their scientific significance, and arranged chronologically. It provides a foundational reference for LIPs, utilizing a chapter-wide template to facilitate comparisons of crucial aspects and processes. Users will find comprehensive knowledge on over 20 important LIPs, including historical context and uniqueness, geological background, physical characteristics and formations, age and geochronology, mineralogy, and synthesis.

  • Multimodal Remote Sensing Fusion and Classification

    Algorithms and Applications
    • 1 Edición
    • Man-On Pun + 1 más
    • Inglés
    Multimodal Remote Sensing Data Fusion for Classification: Algorithms and Applications offers a comprehensive overview of Earth observation data fusion, focusing on multimodal remote sensing. It presents state-of-the-art algorithms and practical applications that enhance understanding of Earth's dynamic processes. Through detailed analysis, case studies, and practical examples, this book equips readers with the necessary tools to effectively utilize multimodal data fusion for land cover and land use classification, as well as environmental monitoring, making it an invaluable resource for those in remote sensing and Earth sciences.Furthermore... the book is tailored for Masters and Doctorate students, scientists, and professionals in remote sensing, geography, and Earth sciences. It delves into the integration and analysis of multimodal remote sensing data, offering insights into sustainable solutions for environmental challenges. This comprehensive coverage ensures readers are well-versed in the cutting-edge techniques and methodologies required for advanced Earth observation and classification tasks.

  • Advances in Remote Sensing for Forest Fire Management

    Technologies, Applications, Case Studies and Future Directions
    • 1 Edición
    • Carmen Quintano + 3 más
    • Inglés
    Advances in Remote Sensing for Forest Fire Management: Technologies, Applications, Case Studies and Future Directions provides a theoretical foundation to Earth Observation methodologies, algorithms, and technologies for analyzing forest fires. From detection to damage assessment, this book offers a comprehensive understanding of forest fires, incorporating insights from remote sensing, ecology, forest management, and meteorology. Through real-world case studies and the utilization of state-of-the-art deep learning and artificial intelligence (AI) algorithms on remote sensing data, readers will gain a multidisciplinary perspective on forest fire management. This is essential for graduate students, researchers, and professionals seeking to utilize remote sensing techniques to further their research and knowledge of forest fire management through cutting-edge remote sensing technologies and interdisciplinary insights.

  • Geomorphic Impacts of Earthquakes

    Post-Seismic Landscape Evolution
    • 1 Edición
    • Tim Davies + 2 más
    • Inglés
    Geomorphic Impacts of Earthquakes: Post-Seismic Landscape Evolution summarizes the full range of landscape alterations that can result from large earthquakes, ranging from slope instability and river aggradation to prograded coastlines. The book underpins the consequences of major earthquakes, which are increasing as Earth’s population burgeons and climate and anthropogenic effects are ongoing. Although the damage to society that results directly from the shaking and ground rupture in large earthquakes is well known, the consequential effects of seismicity on the landscape causes earth surface deformations and hazards that are only now being fully understood.This book will help readers professionally engaged in the Earth sciences be better prepared to assess the full range of natural hazards that threaten particular locations, and to work out how to evaluate their contribution to societal risks.

  • GNSS Applications to Monitor Natural Hazards

    • 1 Edición
    • Joseph Awange
    • Inglés
    Global Navigation Satellite Systems (GNSS) are a cornerstone of modern geodetic positioning, but their true potential extends far beyond traditional applications. GNSS Applications to Monitor Natural Hazards presents a systematic, step-by-step methodology for leveraging satellite-based positioning to detect, analyze, and mitigate environmental threats—from floods and droughts to seismic shifts and landslides. As climate change intensifies natural hazards, this book bridges the gap between theory and practice, offering researchers, engineers, and policymakers reproducible techniques to enhance early-warning systems. For the first time, it also explores AI-enhanced GNSS, demonstrating how machine learning can unlock real-time hazard prediction and adaptive monitoring. Designed for both experts and newcomers, this work translates cutting-edge research into actionable strategies, empowering readers to harness GNSS technology for a more resilient future. Whether optimizing disaster response or decoding subtle environmental changes, this book is an essential guide to reducing the impact of catastrophic events through innovation.

  • Photogrammetry Principles and Applications

    LiDAR 3D Point Cloud Intelligent Processing
    • 1 Edición
    • Yiping Chen
    • Inglés
    Photogrammetry Principles and Applications: LiDAR 3D Point Cloud Intelligent Processing addresses the growing demand for advanced 3D point cloud processing in geospatial and Earth observation fields. With LiDAR technology playing a vital role in autonomous driving, smart cities, and environmental monitoring, this book offers a systematic overview of core algorithms, including 3D reconstruction, DEM generation, and semantic segmentation, utilizing cutting-edge artificial intelligence methods like deep learning and large language models. It combines foundational knowledge with practical case studies from diverse regions such as Toronto, Xiamen, and Nanjing, illustrating how these techniques are applied in real-world scenarios. The content spans hardware descriptions, software workflows, and algorithmic insights, making it suitable for both self-study and academic courses. Featuring templates, flow diagrams, step-by-step processes, and tables, the book ensures ease of cross-referencing and practical understanding. It empowers researchers, students, and industry professionals to process complex, massive point cloud data efficiently, leading to more accurate spatial analysis, environmental assessments, and urban planning. By integrating AI into traditional photogrammetric workflows, this volume paves the way for innovations in geospatial intelligence and autonomous systems.