Books in Earth surface processes

Handbook of Satellite Land Products

1st Edition
November 1, 2025
Shunlin Liang + 1 more
English
Paperback
9 7 8 0 4 4 3 2 1 4 8 5 1
eBook
9 7 8 0 4 4 3 2 1 4 9 7 4

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.

Supervised Learning in Remote Sensing and Geospatial Science

1st Edition
October 1, 2025
Aaron E Maxwell + 2 more
English
Paperback
9 7 8 0 4 4 3 2 9 3 0 6 1
eBook
9 7 8 0 4 4 3 2 9 3 0 7 8

Supervised Learning in Remote Sensing and Geospatial Science is an invaluable resource focusing on practical applications of supervised learning in remote sensing and geospatial data science. Emphasizing practicality, the book delves into creating labeled datasets for training and evaluating models. It addresses common challenges like data imbalance and offers methods for assessing model performance. This guide bridges the gap between theory and practice, providing tools and techniques for extracting actionable information from raw geospatial data.The book covers all aspects of supervised learning workflows, including preparing diverse remotely sensed and geospatial data inputs. It equips researchers, practitioners, and students with essential knowledge for applied mapping and modeling tasks, making it an indispensable reference for advancing geospatial science.

Earth Observation using Scatterometers

1st Edition
October 1, 2025
Sartajvir Singh + 4 more
English
Paperback
9 7 8 0 4 4 3 3 1 3 8 0 6
eBook
9 7 8 0 4 4 3 3 1 3 8 1 3

Earth Observation using Scatterometers: State-of-the-Art Techniques, Applications, and Challenges explores the critical role scatterometers play in addressing natural disasters, climate action, and food security. It provides comprehensive guidance on leveraging scatterometers for real-time applications, including advanced techniques like super-resolution mapping and multi-source data fusion. This book is an essential resource for understanding the challenges and opportunities of scatterometer satellite datasets. In addition to covering the latest advancements in algorithms and emerging applications, it empowers professionals to efficiently analyze vast amounts of Earth observation data.The book addresses scatterometers' expanding applicability in oceanography, agriculture, the cryosphere, and related Earth-science fields, making it invaluable for scientists, geospatial data analysts, and students of Remote Sensing and Geoscience.

Geoheritage

2nd Edition
August 15, 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, Second Edition provides a comprehensive exploration of geoheritage, beginning with an introduction to geodiversity and progressing to the characterisation of in situ and ex situ geoheritage, its protection and sustainable use. It also offers advanced concepts and methodologies for site assessment, mapping, conservation, visualisation and management, and features 12 case studies spanning five continents.Authored by 75 experts from 22 countries, this edition includes nearly 200 figures and maps. New chapters expand the scope of the first edition to address geoheritage’s links to biodiversity, climate change, natural hazards, ecosystem services, education and cities.This essential resource is perfect for geoscientists and students in the fields of geodiversity, geoheritage, geoconservation and geotourism, as well as professionals involved in nature conservation, protected areas and geoparks.

Machine Learning in Geohazard Risk Prediction and Assessment

1st Edition
July 2, 2025
Biswajeet Pradhan + 2 more
English
Paperback
9 7 8 0 4 4 3 2 3 6 6 3 1

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.

Carbon Fluxes and Biophysical Variables from Earth Observation

1st Edition
July 2, 2025
Manuel Campos-Taberner + 2 more
English
Paperback
9 7 8 0 4 4 3 2 9 9 9 1 9

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.

Google Earth Engine and Artificial Intelligence for Earth Observation

1st Edition
March 31, 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. 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.

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.Structur... 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.

Digital Terrain Analysis, Third Edition

3rd Edition
January 10, 2025
Igor Florinsky
English
Hardback
9 7 8 0 4 4 3 2 4 7 9 8 9
eBook
9 7 8 0 4 4 3 2 4 7 9 9 6

Digital Terrain Analysis, Third Edition synthesizes knowledge on methods and applications of digital terrain analysis and geomorphometry in the context of multi-scale problems in soil science, geology, and polar research. Divided into four parts, the book examines the main concepts, principles, and methods of digital terrain modeling, methods for analysis, modeling, and mapping of spatial distribution of soil properties, techniques for recognition, analysis, and interpretation of topographically manifested geological features, and finally, polar research. This new release provides a theoretical and methodological basis for understanding and applying geographical modeling techniques.

Probabilistic Tsunami Hazard and Risk Analysis

1st Edition
October 24, 2024
Katsuichiro Goda + 3 more
English
Paperback
9 7 8 0 4 4 3 1 8 9 8 7 6
eBook
9 7 8 0 4 4 3 1 8 9 8 8 3

Probabilistic Tsunami Hazard and Risk Analysis: Towards Disaster Risk Reduction and Resilience covers recent calls for advances in quantitative tsunami hazard and risk analyses for the synthesis of broad knowledge basis and solid understanding of interdisciplinary fields, spanning seismology, tsunami science, and coastal engineering. These new approaches are essential for enhanced disaster resilience of society under multiple hazards and changing climate as tsunamis can cause catastrophic loss to coastal cities and communities globally.This is a low-probability high-consequence event, and it is not easy to develop effective disaster risk reduction measures. In particular, uncertainties associated with tsunami hazards and risks are large. The knowledge and skills for quantitative probabilistic tsunami hazard and risk assessments are in high demand and are required in various related fields, including disaster risk management (governments and local communities), and the insurance and reinsurance industry (catastrophe model).

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