Deep Learning For Earth Observation And Climate Monitoring
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Deep Learning For Earth Observation And Climate Monitoring
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Author : Uzair Aslam Bhatti
language : en
Publisher: Elsevier
Release Date : 2025-03-19
Deep Learning For Earth Observation And Climate Monitoring written by Uzair Aslam Bhatti and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-19 with Science categories.
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. - Introduces deep learning for classification, covering recent improvements in image segmentation and encoding priors, anomaly detection and target recognition, and domain adaptability - Includes both learning representations and unsupervised deep learning, covering deep learning picture fusion, regression, parameter retrieval, forecasting, and interpolation from a practical standpoint - Provides a number of physics-aware deep learning models, including the code and the parameterization of models on a companion website, as well as links to relevant data repositories, allowing readers to test techniques themselves
Earth Observation For Land And Emergency Monitoring
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Author : Heiko Balzter
language : en
Publisher: John Wiley & Sons
Release Date : 2017-05-08
Earth Observation For Land And Emergency Monitoring written by Heiko Balzter and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-08 with Technology & Engineering categories.
Earth Observation Science (EOS) is the study of the global Earth land-ocean-atmosphere system through observations. The principal tools for such studies are measurements from space since these provide the coverage of the planet that is necessary to capture the behaviour of the entire coupled system. In addition, surface observations, and measurements from aircraft, balloons and sounding rockets provide valuable contributors to what are now termed "integrated, global observing systems.” Coupled with models, the EOS measurement suites provide powerful tools for research into the factors controlling and changing the Earth system in which we live. The objectives of this book are to describe new methods and applications of satellite technology in the fields of land and emergency monitoring. It draws on new research outcomes from the European FP7 project GIONET (European Centre of Excellence in Earth Observation Research Training). GIONET combines industrial partners with universities and research institutes, and this book provides a perspective on Earth Observation applications that is motivated by the cross-fertilisation of both sectors. Hence, this book will find readers in both industry and academia. This book highlights a broad range of innovative uses of Earth Observation technology to support environmental management, decision making, crisis management and climate policies. It uses advanced concepts of multi-sensor image integration, multi-temporal analysis and synergies between data and models. This is a truly interdisciplinary subject that encompasses a range of applications in various fields which are discussed in detail throughout the text. If you are interested in remote sensing applications and looking for inspiration, this is the book for you.
Long Term Structural Health Monitoring By Remote Sensing And Advanced Machine Learning
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Author : Alireza Entezami
language : en
Publisher: Springer Nature
Release Date : 2024-02-21
Long Term Structural Health Monitoring By Remote Sensing And Advanced Machine Learning written by Alireza Entezami and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-21 with Technology & Engineering categories.
This book offers an in-depth investigation into the complexities of long-term structural health monitoring (SHM) in civil structures, specifically focusing on the challenges posed by small data and environmental and operational changes (EOCs). Traditional contact-based sensor networks in SHM produce large amounts of data, complicating big data management. In contrast, synthetic aperture radar (SAR)-aided SHM often faces challenges with small datasets and limited displacement data. Additionally, EOCs can mimic the structural damage, resulting in false errors that can critically affect economic and safety issues. Addressing these challenges, this book introduces seven advanced unsupervised learning methods for SHM, combining AI, data sampling, and statistical analysis. These include techniques for managing datasets and addressing EOCs. Methods range from nearest neighbor searching and Hamiltonian Monte Carlo sampling to innovative offline and online learning frameworks, focusing on data augmentation and normalization. Key approaches involve deep autoencoders for data processing and novel algorithms for damage detection. Validated using simulated data from the I-40 Bridge, USA, and real-world data from the Tadcaster Bridge, UK, these methods show promise in addressing SAR-aided SHM challenges, offering practical tools for real-world applications. The book, thereby, presents a comprehensive suite of innovative strategies to advance the field of SHM.
Sustainable Development Perspectives In Earth Observation
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Author : Mukunda Behera
language : en
Publisher: Elsevier
Release Date : 2025-02-03
Sustainable Development Perspectives In Earth Observation written by Mukunda Behera and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-03 with Science categories.
Earth Observation: Sustainable Development Perspectives offers expert insight to the latest progress made in terrestrial, oceanic, and atmospheric processes, and their inter-linkage in the face of changing climate using earth observation. Reviewing contemporary research, this volume will address various challenges faced in agricultural research and education, crop production forecasting, agroforestry, floriculture, horticulture, crop insurance and marine resources utilization for sustainable development in the warming world. The editors examine the advances made in understanding the changing dynamics of various ecosystems such as land use, water resources, ecosystem productivity and biodiversity. The book addresses ocean-atmosphere interactions, modes of climate variations such as, El Nino and Indian Ocean dipole, extreme events, tropical cyclone, summer monsoon and distribution of organic matter and interlinks among various ocean-atmosphere phenomena. The use of advanced data sets, measurements techniques, modeling and analytics protocols, analyses methods and interpretations are also discussed. For those working towards sustainability using earth observation, this text is a valuable resource for understanding the changing dynamics of the environment in the face of climate change. - Analyzes various challenges faced in agricultural research and education, crop production forecasting, agroforestry, vegetation phenology, forest cover resilience, high altitude wetlands, aerosols, greenhouse gases and coastal management - Explores ocean–atmosphere interactions, modes of climate variations, such as El Nino and Indian Ocean Dipole, extreme events, tropical cyclone, summer monsoon, and distribution of organic matter and their interlinks among various ocean–atmosphere phenomena - Examines various biogeophysical processes using Earth observation for better climate mitigation and adaptation
Multisensor Data Fusion And Machine Learning For Environmental Remote Sensing
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Author : Ni-Bin Chang
language : en
Publisher: CRC Press
Release Date : 2018-02-21
Multisensor Data Fusion And Machine Learning For Environmental Remote Sensing written by Ni-Bin Chang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-21 with Technology & Engineering categories.
In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive capabilities indicates promise for revolutionizing the study of global water, energy, and carbon cycles as well as land use and land cover changes. The aim of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new scientific architecture in remote sensing science that is designed to support numerical as well as symbolic feature extraction managed by several cognitively oriented machine learning tasks at finer scales. By grouping a suite of satellites with similar nature in platform design, data merging may come to help for cloudy pixel reconstruction over the space domain or concatenation of time series images over the time domain, or even both simultaneously. Organized in 5 parts, from Fundamental Principles of Remote Sensing; Feature Extraction for Remote Sensing; Image and Data Fusion for Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision Analysis, the book will be a useful reference for graduate students, academic scholars, and working professionals who are involved in the study of Earth systems and the environment for a sustainable future. The new knowledge in this book can be applied successfully in many areas of environmental science and engineering.
Urban Climate Informatics
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Author : Ariane Middel
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-18
Urban Climate Informatics written by Ariane Middel and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-18 with Science categories.
Ethics Machine Learning And Python In Geospatial Analysis
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Author : Galety, Mohammad Gouse
language : en
Publisher: IGI Global
Release Date : 2024-04-29
Ethics Machine Learning And Python In Geospatial Analysis written by Galety, Mohammad Gouse and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-29 with Technology & Engineering categories.
In geospatial analysis, navigating the complexities of data interpretation and analysis presents a formidable challenge. Traditional methods often need to efficiently handle vast volumes of geospatial data while providing insightful and actionable results. Scholars and practitioners grapple with manual or rule-based approaches, hindering progress in understanding and addressing pressing issues such as climate change, urbanization, and resource management. Ethics, Machine Learning, and Python in Geospatial Analysis offers a solution to the challenges faced by leveraging the extensive library support and user-friendly interface of Python and machine learning. The book’s meticulously crafted chapters guide readers through the intricacies of Python programming and its application in geospatial analysis, from fundamental concepts to advanced techniques.
Geoinformatics For Geosciences
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Author : Nikolaos Stathopoulos
language : en
Publisher: Elsevier
Release Date : 2023-05-26
Geoinformatics For Geosciences written by Nikolaos Stathopoulos and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-26 with Science categories.
Geoinformatics for Geosciences: Advanced Geospatial Analysis using RS, GIS and Soft Computing is a comprehensive guide to the methodologies and techniques that can be used in Earth observation data assessments, geospatial analysis, and soft computing in the geosciences. The book covers a variety of spatiotemporal problems and topics in the areas of the environment, geohazards, urban analysis, health, pollution, climate change, resources and geomorphology, among others. Sections cover environmental and climate issues, analysis of geomorphological data, hazard and disaster impacts, natural and human resources, the influence of environmental conditions, geohazards, climate change, geomorphological changes, etc., and socioeconomic challenges. Detailing up-to-date techniques in geoinformatics, this book offers in-depth, up-to-date methodologies for researchers and academics to understand how contemporary data can be combined with innovative techniques and tools in order to address challenges in the geosciences. - Focuses on a variety of interdisciplinary applications using Earth observation data, GIS, and soft computing techniques to address various challenges in the geosciences - Presents both innovative techniques and specific features of the practices described, thus allowing readers to choose the most appropriate method to apply to their specific problems - Comprehensively details the state-of-the-art methodologies and decision-making tools included to ensure they are easily reproduceable
Earth Observation Applications To Landslide Mapping Monitoring And Modeling
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Author : Viorel Ilinca
language : en
Publisher: Elsevier
Release Date : 2024-11-14
Earth Observation Applications To Landslide Mapping Monitoring And Modeling written by Viorel Ilinca and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-14 with Science categories.
Earth Observation Applications to Landslide Mapping, Monitoring and Modelling: Cutting-edge Approaches with Artificial Intelligence, Aerial and Satellite Imagery focuses on the applications of drone and satellite imagery for mapping landslides. Topics covered include the use of ultra-high aerial imagery, obtained with drones, for mapping and predicting landslide activity (like runoff, volume displacement, exposure to risk, etc.). Subjects related to EO data assimilations into landslide hazard prediction models are also included. The primary aim of this book is to advance the scientific understanding and application of technologies to address a variety of fields related to landslide mapping and monitoring.Because of the intensification of the catastrophic events in the last 20 years, landslide monitoring gained considerable interest from the geoscience community. This book will be beneficial for the postgraduates, PhD research scholars, professors and scientists, geospatial experts, modelers, oceanography scientists and conservation communities, environmental consultants, big data compilers, and computing experts. - Recent developments in landslide monitoring and mapping algorithms - Provides clear and detailed case studies and methods that can be easily replicated and implemented in landslide monitoring systems - Provides detailed methods for applying research to landslide monitoring and mapping
Artificial Intelligence In Remote Sensing For Disaster Management
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Author : Neelam Dahiya
language : en
Publisher: John Wiley & Sons
Release Date : 2025-07-09
Artificial Intelligence In Remote Sensing For Disaster Management written by Neelam Dahiya and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Computers categories.
Invest in Artificial Intelligence in Remote Sensing for Disaster Management to gain invaluable insights into cutting-edge AI technologies and their transformative role in effectively monitoring and managing natural disasters. Artificial Intelligence in Remote Sensing for Disaster Management examines the involvement of advanced tools and technologies such as Artificial Intelligence in disaster management with remote sensing. Remote sensing offers cost-effective, quick assessments and responses to natural disasters. In the past few years, many advances have been made in the monitoring and mapping of natural disasters with the integration of AI in remote sensing. This volume focuses on AI-driven observations of various natural disasters including landslides, snow avalanches, flash floods, glacial lake outburst floods, and earthquakes. There is currently a need for sustainable development, near real-time monitoring, forecasting, prediction, and management of natural resources, flash floods, sea-ice melt, cyclones, forestry, and climate changes. This book will provide essential guidance regarding AI-driven algorithms specifically developed for disaster management to meet the requirements of emerging applications.