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Elsevier

Libros en Ciencias de la Tierra y Planetarias

  • Water Use Efficiency, Sustainability and The Circular Economy

    • 1 Edición
    • Suhaib A. Bandh + 2 más
    • Inglés
    Water Use Efficiency, Sustainability, and The Circular Economy is a comprehensive guide on water resource management in the context of a circular economy. The book covers a wide spectrum of topics, from water reuse and recycling strategies that foster sustainability to comprehensive lifecycle assessments of grey and black water management. It explores how circular economy principles can revolutionize basic water supply networking, catalyzing a shift towards more resilient and eco-conscious urban water systems.Lastly, the book contains innovative approaches like blockchain technology for water management and the circular economy perspective on wastewater resource management for energy recovery to help students, scholars, and policymakers navigate the complexities around water resource management.

  • Carbon Fluxes and Biophysical Variables from Earth Observation

    Methods for Ecosystem Assessment
    • 1 Edición
    • Manuel Campos-Taberner + 2 más
    • Inglés
    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.

  • Machine Learning in Geohazard Risk Prediction and Assessment

    From Microscale Analysis to Regional Mapping
    • 1 Edición
    • Biswajeet Pradhan + 2 más
    • Inglés
    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.

  • Computational Methods for Time-Series Analyses in Earth Sciences

    • 1 Edición
    • Silvio José Gumiere + 1 más
    • Inglés
    Computational Methods for Time-Series Analyses in Earth Sciences bridges the gap between theoretical knowledge and practical application, offering a deep dive into the utilization of R programming for managing, analyzing, and forecasting time-series data within the realm of Earth sciences. It systematically unfolds the layers of data manipulation, graphical representation, and sampling to prepare the reader for complex analyses and predictive modeling from the basics of signal processing to the nuances of machine learning. It presents cutting-edge techniques, such as neural networks, kernel-based methods, and evolutionary algorithms, specifically tailored to tackle challenges, and provides practical case studies to aid readers with utilizing the techniques covered.Computationa... Methods for Time-Series Analyses in Earth Sciences is a valuable resource for scientists, researchers, and students delving into the intricacies of Earth's environmental patterns and cycles through the lens of computational analysis and guides readers through various computational approaches to deciphering spatial and temporal data.

  • The Oscillating Universe

    Einsteinian Cosmology of Black Holes and Gravitational Waves
    • 1 Edición
    • Nick Gorkavyi
    • Inglés
    The Oscillating Universe: Einsteinian Cosmology of Black Holes and Gravitational Waves introduces the concept of cyclic cosmology within the framework of General Relativity. This book unravels the mysteries behind the Big Bang, the accelerating expansion of the universe, and the role of gravitational radiation and black holes in shaping our cosmos. With a comprehensive mathematical description of the oscillating universe and variable gravitational mass, readers will grasp the significance of the latest cosmological revolution sparked by the recent discoveries of gravitational waves.Students, professional astronomers, and cosmologists will find this book to be a valuable resource. It offers a popular presentation of the history of modern cosmology, discussions on recent discoveries in the study of the universe, and an introduction to the cutting-edge cyclic cosmology theory. This book provides a unique opportunity to understand the evolving landscape of cosmology and the implications of cyclic cosmology.

  • Synoptic Analysis and Forecasting

    An Introductory Toolkit
    • 2 Edición
    • Shawn Milrad
    • Inglés
    Synoptic Analysis and Forecasting: An Introductory Toolkit, Second Edition provides a bridge between early meteorology courses and more advanced courses in synoptic-dynamic analysis. This valuable reference also imparts qualitative weather analysis and forecasting tools and techniques to researchers and practitioners who require deeper foundational knowledge of weather forecasting. Sections introduce readers to surface weather instrumentation, observations, and plots, radiosondes and upper-air charts, a process-based guide to understanding the motion and intensity of cyclones, anticyclones, fronts, and the diagnosis of vertical motion and associated large-scale weather conditions.After learning about the applications of modern satellite and radar imagery to synoptic analysis and forecasting, readers are provided a complete three-dimensional picture of the troposphere through thermodynamic diagram and sounding analysis techniques. This invaluable resource offers strong support for building qualitative weather observation, analysis, and forecasting skills.

  • Climate Change and Rainfall Extremes in Africa

    Occurrence, Impacts and Adaptation
    • 1 Edición
    • Victor Ongoma
    • Inglés
    Climate Change and Rainfall Extremes in Africa: Occurrence, Impacts and Adaptation provides the latest developments on extreme rainfall in Africa, along with an analysis of current impacts, future implications, and community adaptations. The book's chapters are organized into three parts: 1) Understanding Rainfall Extremes, 2) Regional Rainfall and Hydrological Extremes, and 3) Prediction, Impacts, and Adaptation to Rainfall Extremes. Specific sections examine rainfall variability in Africa (and across the world), how climate change has contributed to the increasing severity of events, focus on different regions and various meteorological extremes, including tropical cyclones, drought, flooding, rising water levels, and changes in rainfall concentration.Final sections look ahead to the future of forecasting rainfall, economic implications, damage assessment, adaptation, community resilience, and risk reduction measures. This timely resource will deepen readers' understanding of how climate change and extreme rainfall in Africa (and elsewhere) are impacting communities and what can be done to mitigate the effects.

  • Google Earth Engine and Artificial Intelligence for Earth Observation

    Algorithms and Sustainable Applications
    • 1 Edición
    • Vishakha Sood + 3 más
    • Inglés
    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.

  • Presolar Grains in Extra-Terrestrial Materials

    Probing Stars with Stardust
    • 1 Edición
    • Sachiko Amari
    • Inglés
    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

    • 1 Edición
    • Uzair Aslam Bhatti + 3 más
    • Inglés
    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.

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