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. The book includes a wide range of scientific domains that can utilize remote sensing and geographic information systems (GIS) through detailed case studies. It 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.This 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 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.
Applications of Geospatial Technology and Modeling for River Basin Management, Volume Twelve covers the use of multi-temporal satellite data for accurate estimations of different watershed features. It includes methods and case studies of the use of geographic information systems (GIS) as a valuable tool for criteria-based spatial analysis to manage natural resources and accurately simulate natural phenomena such as the hydrologic response of a watershed to precipitation and susceptibility to water erosion. The book also provides direction on many types of modelling and mapping techniques in geospatial environments based on river basin management challenges. This book will be a useful guide for academics, researchers, and practitioners involved in the use of geospatial technologies for river basin management, as well as those interested in environmental management and Earth surface geomorphology.
Remote Sensing and GIS in Peri-Urban Research: Perspectives on Global Change, Sustainability and Resilience, Eleventh Edition provides the most recent methods and techniques, incorporating geoinformatics-based practices to map, evaluate, and model urban landscape attributes and changes. The book provides theory, methodology, and future perspectives of remote sensing and GIS techniques applied to peri-urban modelling, analysis and sustainability through the use of spatio-temporal geospatial datasets. It also includes case studies of real-world data sets, with applicable algorithms, techniques and methods for study.This will be a useful reference for researchers and academics in remote sensing, GIS, and spatial analysis, and environmental or urban scientists wanting to implement remote sensing technologies in their research.
Remote Sensing of Climate provides cutting-edge techniques in remote sensing of climate variability and the environment. The book focuses on methods and data analytics, advancements in scientific research in the field, and further proffers recommendations on the possible knowledge gaps and future scientific research directions. It covers eight key themes of remote sensing and climate variability, including discussions on how the various aspects from each chapter of the themes interrelate. It also integrates several divergent perspectives on remote sensing and climate variability and the environment to show the interrelationships between the perspectives.This is an important reference for those in education and research working on remote sensing and climate science who need methods, data analytics, case studies, research strides, and key knowledge gaps in the field.
GNSS Monitoring of the Terrestrial Environment: Earthquakes, Volcanoes, and Climate Change presents the application of GNSS technologies to natural hazards on Earth. The book details the background theory of the GNSS techniques discussed and takes the reader through applications and implementation. Tables comparing GNSS with other geodetic techniques, such as SAR, VLBI, SLR, and conventional geodetic methods such as strainmeters, tiltmeters, and leveling surveys are also included. The book concludes with a chapter bridging both parts, discussing the relationship between earthquakes, volcanism, and climate change.The book is aimed at academics, researchers, and advanced students working in the fields of remote sensing technologies or natural hazards. It is divided into two parts, with the first covering the monitoring of earthquakes, volcanoes, and applications of GNSS signals to better understand earthquakes and volcanism, while the second part covers monitoring climate change with GNSS.
Geographical Information Science: Case Studies in Earth and Environmental Monitoring provides detailed remote sensing and GIS methods and algorithms and technology comparisons, focusing on a wide range of environmental applications. The geoinformation technologies are demonstrated through templated case studies detailing real world use of the techniques and clarifying methods, tools, and practical solutions to environmental mapping and monitoring. The book utilizes remote sensing and geospatial data from the most recently launched satellites and applies the latest geospatial data approaches and analysis software tools (both commercial and open source).This book is a comprehensive reference for researchers, academics and technicians in the fields of geospatial science & technology, remote sensing, and environmental science; or those processing and analyzing geospatial data for monitoring and modelling.
Earth Observation in Urban Monitoring: Techniques and Challenges presents the latest techniques of remote sensing in urban monitoring, along with methods for quantitative and qualitative assessment using state-of-the-art Earth observation technologies. The book details the advances of remote sensing technologies in urban environmental monitoring for a range of practical and research applications, Earth observation datasets, remote sensing of environmental considerations, geostatistical techniques and resilience perspectives. Chapters cover sensor applications, urban growth modelling, SAR applications, surveying techniques, satellite time series analysis and a variety of other remote sensing technologies for urban monitoring. Each chapter includes detailed case studies at a variety of scales and from a variety of geographies, offering up-to-date, global, urban monitoring methodologies for researchers, scientists and academics in remote sensing, geospatial research, environmental science and sustainability.
Satellite Interferometry Data Interpretation and Exploitation: Case Studies from the European Ground Motion Service (EGMS) focuses on the interpretation and exploitation of data obtained from InSAR, thus enabling millimeter-scale deformation measurements from space. The most emblematic InSAR service, the European Ground Motion Service (EGMS), opens a wide range of new applications. However, for effective use of raw data, interpretation techniques and methods are required. This book presents interpretation protocols that can be applied to any InSAR data, as well as the most relevant technical aspects and boundaries of measurement points. Detailed case studies are reviewed to demonstrate points. This book will be a valuable resource for remote sensing specialists, as well as non-specialists in geotechnics, geology and other geosciences who are looking to apply InSAR data techniques in their research.
Atmospheric Remote Sensing: Principles and Applications discusses the fundamental principles of atmospheric remote sensing and their applications in different research domains. Furthermore, the book covers the basic concepts of satellite remote sensing of the atmosphere, followed by Ionospheric remote sensing tools like Global Positioning System (GPS) and Very Low Frequency (VLF) wave. Sections emphasize the applications of atmospheric remote study in Ionospheric perturbation, fire detection, aerosol characteristics over land, ocean and Himalayan regions. In addition, the application of atmospheric remote sensing in disaster management like dust storms, cyclones, smoke plume, aerosol-cloud interaction, and their impact on climate change are discussed. This book is a valuable reference for students, researchers and professionals working in atmospheric science, remote sensing, and related disciplines.