Books in Computers in geosciences

Handbook of Satellite Land Products

1st Edition
November 1, 2025
Shunlin Liang + 1 more
English

Handbook of Satellite Land Products compiles the key information of as many satellite products as possible for each essential land variable. It provides a comprehensive list of openly accessible high-level satellite products that characterize the essential land surface variables of the Earth system, including the original data sources, inversion algorithms, product characteristics, validation accuracy, and any existing applications. Each product includes satellite data inversion methodology and high-level product generation and application information, allowing for comparison of different products and selection of the correct ones for different applications.This book will help researchers, professors, and graduate students grasp the knowledge of existing satellite land products, understand the advantages and limitations, and follow the practical application examples.

Spatial Statistics and Analysis

1st Edition
November 1, 2025
Anzhelika Antipova
English

Spatial Statistics and Analysis: Techniques and Applications provides a comprehensive exploration of the theoretical and foundational principles, as well as the applicational aspects of spatial statistics and analysis using the latest, most up-to-date data. It functions as a one-stop standalone resource for both instructors and undergraduate and graduate students using spatial analysis in geography and other earth sciences, as well as public health, engineering, urban and regional planning, criminal justice, epidemiology, and social sciences. Additionally, Spatial Statistics and Analysis: Techniques and Applications is also useful for postgraduate students, researchers, social science practitioners, policy makers, government organizations and those who wish to gain an insight into spatial data analysis. It begins with a clear introduction of the key terms and tools in spatial statistics. Following on from that, it progresses into scales of measurement in spatial analysis and using these to analyze data distributions. Through the provision of compelling hands-on exercises, the book navigates complex topics such as spatial dataset visualizations, spatial statistical relationships and correlation, point features distributions and point pattern analysis. From there, the book moves into areal features distributions and areal pattern analysis using global and local statistics as well as complex spatial patterns and geostatistical analysis. Lastly it delineates the theory of spatial error and uncertainty, and real-world application of Markov chains. This textbook incorporates supplementary resources in the form of instructional slides for teaching, key for lab activities, data sets and high-quality graphic illustrations for students and instructors.

Geospatial Techniques in Climate Change Monitoring and Environmental Mapping

1st Edition
Volume 10
November 1, 2025
Jung-Sup Um + 3 more
English

Geospatial Techniques in Climate Change Monitoring and Environmental Mapping: Advances and Applications explores the innovative methods and applications of remote sensing for climate-change-related studies. Climate change requires a comprehensive approach that integrates various disciplines and perspectives, which remote sensing technology and data acquisition can greatly improve. The book opens with an examination of climate observation and monitoring, the consolidation of remote sensing data systems in environmental mapping, and the tracking of air pollution by remote sensing data. Climate change is comprehensively covered with chapters covering the use of remote sensing data to monitor and predict climate change; mapping, monitoring, and characterization of land change with climate time series data; tracking climate change and tropical cyclones using geospatial technique; the system dynamics model of economic development and climate change; and a close look at climate change mitigation, adaptation, and future directions. Climate modelling, validation, uncertainty mapping are also explored. Finally, the guiding role of the application of remote sensing data in government climate policies and sustainable approaches for risk reduction of global climate change issues are discussed in depth. This cutting-edge reference offers readers the latest thinking on the spatial techniques that scientists across disciplines can employ in the fight against climate change.

Multimodal Remote Sensing Fusion and Classification

1st Edition
October 1, 2025
Man-On Pun + 1 more
English

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.

Geospatial Information and Services for Climate Resilient Disaster Management

1st Edition
September 1, 2025
Deepak Kumar + 1 more
English
Paperback
9 7 8 0 4 4 3 2 9 2 1 6 3
eBook
9 7 8 0 4 4 3 2 9 2 1 7 0

Geospatial Information and Services for Climate Resilient Disaster Management explores how cutting-edge technology can shape our response to climate-related disasters. Leading experts uncover the indispensable role that geospatial information and services can play in disaster preparedness, response, and recovery. The book opens with an overview of climate resilient disaster management and the application of geospatial technology. The chapters next undertake a thorough examination of early warning systems, risk assessment, vulnerability mapping, resource allocation, and disaster response. Following from those vital tools and applications, the editors then evaluate climate adaptation planning and community engagement in the light of geospatial technology.The book wraps up with real-world case studies and success stories along with a discussion of current challenges and future trends. Readers concerned with the rising connections between natural disaster and climate change will be inspired by this inside view of the latest innovations in geospatial information and services.

Computational Methods for Time-Series Analysis in Earth Sciences

1st Edition
June 10, 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.

Deep Learning for Earth Observation and Climate Monitoring

1st Edition
March 19, 2025
Uzair Aslam Bhatti + 3 more
English
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.

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

1st Edition
February 18, 2025
David A. 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 machine and deep learning models for subsurface geological prediction problems commonly encountered in applied resource evaluation and reservoir characterization tasks. The book provides insights into how the performance of ML/DL models can be optimized—and sparse datasets of input variables enhanced and/or rescaled—to improve prediction performances. A variety of topics are covered, including 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 more.Each chapter includes its own introduction, summary, and nomenclature sections, along with one or more case studies focused on prediction model implementation related to its topic.

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.

Data Analytics and Artificial Intelligence for Earth Resource Management

1st Edition
November 6, 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.

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health