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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.

BooksJournals
21-30 of 2006 results in All results

Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems

  • 1st Edition
  • January 1, 2025
  • David Wood
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 6 5 1 0 - 5
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 6 5 1 1 - 2
Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems: Prediction Models Exploiting Well-Log Information explores the implementation of machine and deep learning models to a range of subsurface geological prediction problems commonly encountered in applied resource evaluation and reservoir characterization tasks. It provides readers with insight into how the performance of ML/DL models can be optimized, and sparse datasets of input variables enhanced and/or rescaled, to improve their prediction performances. The author covers a variety of topics in detail, such as regression models to estimate total organic carbon from well-log data, predicting brittleness indexes in tight formation sequences, trapping mechanisms in potential sub-surface carbon storage reservoirs, and several more. Each chapter includes its own introduction, summary, and nomenclature sections together with one or more case studies focused on prediction model implementation related to its topic. The first part of each topic chapter describes the geological issues related to the topic, including an up-to-date literature review. The remainder focuses on prediction modeling of that topic including suitable machine learning and/or deep learning approaches and configurations. Case studies form the latter part of each chapter. Readers in this field will find an invaluable resource to assist them in applying machine and deep learning to their work in sub-surface geoscience.

Artificial Intelligence in Future Mining

  • 1st Edition
  • January 1, 2025
  • Amir Razmjou + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 8 9 1 1 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 8 9 1 2 - 5
Artificial Intelligence in Future Mining explores the latest developments in the use of artificial intelligence (AI) in mining and how it will impact the industry’s future. The application of data science and artificial intelligence in future mining involves using advanced technologies to optimize operations, improve decision-making, and enhance safety and sustainability in the industry. After a brief history of AI in mining, the book's editors look closely at different AI techniques used. Chapters explore ocean mining, brine mining, and urban mining. With an eye towards sustainability, the editors then review the future of wastewater mining and green mining.The book wraps up with chapters on safety and risk, resource planning, and a larger discussion of the opportunities and challenges of mining with AI in the future. This book is a must-have for researchers and professionals who find themselves at the intersection of mining, engineering, and data science.

Computational Methods for Time-Series Analysis in Earth Sciences

  • 1st Edition
  • January 1, 2025
  • Silvio José Gumiere + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 3 3 6 3 1 - 7
  • eBook
    9 7 8 - 0 - 4 4 3 - 3 3 6 3 2 - 4
Computational Methods for Time-Series Analysis 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 Earth sciences. The book 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.This 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. It guides readers through various computational approaches for deciphering spatial and temporal data.

Titan After Cassini-Huygens

  • 1st Edition
  • November 29, 2024
  • Rosaly M.C. Lopes + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 9 1 6 1 - 2
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 9 1 6 2 - 9
Titan After Cassini-Huygens is the most up-to-date and comprehensive coverage of our knowledge on Titan, including results and insights from the joint NASA/European Space Agency/Italian Space Agency mission Cassini-Huygens and the conclusions drawn by experts following detailed analysis of the mission data. Our knowledge of Titan has increased substantially due to observations from the Cassini-Huygens mission, which ended in 2017. Since then, observations from Earth, as well as laboratory and theoretical studies, have continued to add to our knowledge. These conclusions, combined with the latest ground-based and theoretical research, provide the most recent understanding of the science of Titan, covering the origin and evolution of Titan, its magnetic and plasma environment, surface, interior structure, geology, atmosphere, and the astrobiological potential for the oceans on the moon.The first book of the new COSPAR book series, Titan After Cassini-Huygens, is an integral reference for scientists, researchers, and academics working on Titan or ocean worlds. Part of the COSPAR Book SeriesEdited by Jean-Louis Fellous, former Executive Director of COSPAR (Committee on Space Research; 2008–2019)

Optics of the Moon

  • 1st Edition
  • November 11, 2024
  • Yuriy Shkuratov + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 7 9 7 2 - 7
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 7 9 7 3 - 4
Optics of the Moon offers a modern approach to lunar remote sensing. It presents methods for interpreting optics of surfaces with complicated structures, in particular, the lunar regolith. For example, this book illustrates how phase-ratio techniques can lead to the detection of surface structure anomalies and describes polarimetric studies of the lunar surface and their use. This book addresses many questions related to the surfaces of the Moon, such as why the Moon looks like a ball at a large phase angle and like a disk in full moon, why the lunar surface has slight color variations, and why at large phase angles its polarization degree closely correlates with albedo.Including historical perspectives, case studies, maps, and figures to enhance the understanding of both theory and techniques, Optics of the Moon is a valuable resource for researchers and students in lunar and planetary science and remote sensing.

Data Analytics and Artificial Intelligence for Earth Resource Management

  • 1st Edition
  • November 11, 2024
  • Deepak Kumar + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 5 9 5 - 5
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 5 9 6 - 2
Data Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizations make better-informed decisions, improve operations, and minimize the negative impacts of resource extraction on the environment. The book explains several different ways data analytics and artificial intelligence can improve and support earth resource management. Predictive modeling can help organizations understand the impacts of different management decisions on earth resources, such as water availability, land use, and biodiversity.Resource monitoring tracks the state of earth resources in real-time, identifying issues and opportunities for improvement. Providing managers with real-time data and analytics allows them to make more informed choices. Optimizing resource management decisions help to identify the most efficient and effective ways to allocate resources. Predictive maintenance allows organizations to anticipate when equipment might fail and take action to prevent it, reducing downtime and maintenance costs. Remote sensing with image processing and analysis can be used to extract information from satellite images and other remote sensing data, providing valuable information on land use, water resources, and other earth resources.

Air Quality

  • 1st Edition
  • November 1, 2024
  • Ranjeet S. Sokhi
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 2 5 9 1 - 2
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 3 2 8 0 - 4
Air Quality: Science, Impacts, and Management provides a thorough treatment of the fundamental science of air quality, its interactions, its impacts on health and the environment and management strategies for reducing air pollution in cities, regionally and globally. It begins with fundamentals of the atmosphere and its relevance for air quality before moving logically to sources and emissions, chemical transformation, dynamics, prediction, observations and analysis methods. The importance of regional air pollution and interactions with climate demonstrate the multiscale nature of air quality. The book concludes by examining the impacts on ecosystems and health, reviewing the strategies to manage air pollution and highlighting real-world challenges and possible solutions to improve air quality in global cities. The chapters, written by Ranjeet Sokhi with the collaboration of international experts in the field, are designed to be read sequentially or independently for focused learning in this complex and interdisciplinary field. Air Quality: Science, Impacts, and Management is an excellent resource for students, researchers and professionals in the field of Air Quality and related sciences.

Earth Observation Applications to Landslide Mapping, Monitoring and Modeling

  • 1st Edition
  • November 1, 2024
  • Ionut Sandric + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 3 8 6 8 - 4
  • eBook
    9 7 8 - 0 - 1 2 - 8 2 4 1 9 8 - 1
Earth Observation Applications to Landslide Mapping, Monitoring and Modeling: Cutting-edge Approaches with Artificial Intelligence, Aerial and Satellite Imagery focuses on the application of drone and satellite imagery for landslide mapping, monitoring, and modeling. The topics covered include the use of ultrahigh spatial resolution imagery acquired by UAVs (Unmanned Aerial Vehicles) for mapping and predicting landslide activity, the use of satellite imagery for monitoring landslide activity, the assimilation of EO (Earth Observation) data into landslide susceptibility and hazard prediction models, and the building of landslide inventories. The primary objective of this book is the advancement of the scientific understanding and application of technologies to address a variety of areas related to landslide mapping and monitoring for robust and sustainable development. Earth Observation Applications to Landslide Mapping, Monitoring and Modelling be useful for PhD students, postdoctoral researchers, professors, and scientists in geoscience.

Vertebrate Ichnology

  • 1st Edition
  • November 1, 2024
  • Spencer G Lucas + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 8 3 7 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 9 7 1 - 0
Vertebrate Ichnology: Introduction, History, Methodology and Devonian-Neogene Tetrapod Tracks is a complete review and analysis of vertebrate trace fossils, including how vertebrate trace fossils inform our understanding of major evolutionary events. It covers all aspects of the vertebrate trace fossil record including tetrapod footprints, fish traces and other trails, burrows, nests and more. Each record is reviewed by prominent experts with extensive illustrations and can be used as a tool to solve problems of vertebrate biochronology and biogeography. Megabiases in the record are identified, and trace fossils applied to analysis and the understanding of major events in the evolutionary history of vertebrates.This is a useful daily reference for paleontologists and geologists; and teaching professors or other researchers working in trace fossils and related fields, including university and graduate students.

Air Pollution, Air Quality, and Climate Change

  • 1st Edition
  • November 1, 2024
  • Angelo Basile + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 8 1 6 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 8 1 7 - 8
Air Pollution, Air Quality, and Climate Change offers a review of the latest advances and developments in the study of air pollution and air quality in the face of continuing climate change.The editors begin with a detailed review of air pollution and its sources, effects, and impacts. In-depth chapters follow on atmospheric chemistry, air pollution meteorology, and take a look at indoor and urban air quality. The editors then explore the connection between air quality and climate change, the effects of CO2 on air quality, and use of carbon capture and storage.Finally, the book closes with a discussion of environmental policy making as well as future considerations for air pollution, air quality, and climate change. This text is a timely and valuable reference for anyone working towards solutions to reduce air pollution, improve air quality, and lessen the effects of climate change.

Related subjects

Atmospheric science

Computers in geosciences

Earth surface processes

Economic geology

Geochemistry and petrology

Geology

Geophysics

Geotechnical engineering engineering geology

Marine science and technology

Mineral processing

Space and planetary science