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Introduction to Remote Sensing and GIS

Applications of automated mineral analysis

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.

Supervised Learning in Remote Sensing and Geospatial Science

Wastewater Minimization and Re-Use

This book identifies air pollution in megacity areas as a serious environmental issue that calls for prompt countermeasures. The first book to compare air pollution in Mexican megacities to those in Japan, it examines air pollution trends for the past 50 years, mainly focusing on Mexico and Japan, but also including data from the US and China. It consists of 3 sections, discussing 1) air pollutants and formation mechanisms; 2) air pollution trends and contributing factors; and 3) Characteristics of air pollution in three Mexican Megacity Areas - Mexico City, Guadalajara and Monterrey. It also proposes co-beneficial countermeasure scenarios that can effectively improve regional and global atmospheric environmental conditions. Helping readers to understand air pollution formation mechanisms and countermeasure scenarios that are effective at both regional and global scales, the book appeals to researchers and graduate students in the field of atmospheric environmental science, as well as undergraduate science, engineering and social sciences students, and environmental administrative officers and anyone interested in our atmospheric environment.

Mexico and Japan

Urban Air Pollution

Earth Observation

The Geoinformatics Frontier: AI, Big Data, and Crowdsourced Technologies tackles the critical challenge of integrating Geoinformatics, AI, Big Data, and VGI; offering a comprehensive introduction to these pivotal concepts, the book elucidates their foundations and relevance to Geoinformatics. It approaches builds on the theory discussed with practical guidance, examples, and detailed case studies; equipping readers with the knowledge needed to effectively implement them. The book presents case studies spanning various sectors, showcasing how the technologies can be successfully employed to address intricate spatial issues and facilitate well-informed decision-making for the complexities of managing large-scale spatial datasets. It also provides indispensable insights into data collection, storage, quality control, and fusion techniques, offering practical solutions to the challenges of data storage, processing, and analysis. The Geoinformatics Frontier serves as an indispensable guide, bridging the gap in understanding and practice for geospatial scientists, empowering readers to harness the transformative potential of Geoinformatics and advanced computer technologies.

AI, Big Data, and Crowdsourced Technologies

The Geoinformatics Frontier

The fundamental guide for police commanders on using crime analysis to lead effectively&nbsp;Effective, actionable crime analysis can empower modern law enforcement agencies, and their commanders, to promote public safety. But how do police commanders use this information to lead their agency strategically?&nbsp;Leading with Data: A Police Commander's Guide to GIS &amp; Crime Analysis&nbsp;shows how&nbsp;to take a geographical approach to analyzing and utilizing police data, allowing commanders to make more efficient and effective decisions. A strong crime analysis and mapping platform can help commanders sift through large amounts of data and other information to discover what matters most in relation to the agency's operational priorities as well as those voiced by local communities. &nbsp;This book covers how to:&nbsp;<ul><li>Use crime analysis and GIS to provide substantial insight into the causes of a given problem and design the best possible strategies for collaboration and positive outcomes&nbsp;</li><li>Utilize crime analysts in a productive and impactful way&nbsp;</li><li>Successfully implement GIS and crime analysis into practice on the job&nbsp;</li><li>Support crime analysis in an organization&nbsp;</li></ul>Written to be immediately useful for police commanders, whether new to crime analysis or having direct experience in the matter,&nbsp;Leading with Data&nbsp;is&nbsp;a practical reference guide and provides both introductory and complex topics. The primary goals of this book are to expose law enforcement command staff to basic elements and concepts of GIS and crime analysis, and to then build on that exposure by encouraging the ongoing use of the different types of analysis for day-to-day operations as well as other needs, such as strategic planning, crime accountability meetings, or public outreach.&nbsp;Today's policing requires that commanders know how to use crime analysis and data-driven strategies effectively for problem-solving purposes - and this book shows the way. &nbsp;

A Police Commander’s Guide to GIS and Crime Analysis

Leading With Data

Nature wants to heal, and we are finally understanding the best ways to help. We know that when Earth's ecosystems fall out of harmony, the damage can spiral out of control. But what if we could help nature to regain its balance?As a leading ecologist, Professor Thomas Crowther studies not just how species work individually but how whole complex ecosystems work to regulate themselves. When we set the right conditions for nature to thrive, each species helps to support the life of every other species. This means not just planting trees, but taking into account the fascinating role of fungi and soil bacteria, as well as the free movement of wild animals. By revealing how the feedback loops that generate sustainable ecosystems give rise to the stars, planets, and life; economic inequality and privilege; and the way we see the world, Restore shows how we can do our part so that nature can begin the vital process of healing itself.

The Power of Feedback Loops to Make a Better World

Nature's Echo

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.

Deep Learning for Earth Observation and Climate Monitoring

How do you explore distant stars, buried water on Mars or the first moments after the Big Bang - without leaving your back garden? In The Radio Universe, award-winning astrophysicist Emma Chapman takes us on an electrifying voyage through the cosmos using one of the most powerful, yet overlooked, tools in science: the radio wave. With dazzling clarity and humour, Chapman reveals how these invisible messengers glide through space, bounce off planets, tunnel through clouds and slip past galactic dust - carrying secrets of the universe that no other kind of light can uncover. We follow a single radio wave as it escapes Earth and travels outward - ricocheting off the Moon, tunnelling through Venus's furnace-thick atmosphere, tracing ancient ice hidden in Mercury's shadows and diving deep into the swirling arms of the Milky Way. Along the way, we meet black holes that roar louder than stars, pulsars more precise than atomic clocks and galaxies lit by the very first starlight. We explore volcanic pancake planets, death-defying neutron stars, the eerie possibility of alien broadcasts - and the fragile question of our own future in the cosmos. A celebration of human ingenuity and cosmic curiosity, The Radio Universe reveals that the true frontier of space isn't 'out there' - it's humming quietly all around us, waiting to be heard.

How to Explore Outer Space Without Leaving Earth

The Radio Universe

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.

Deep Learning for Multi-Sensor Earth Observation

Unlocking the Secrets of the Deep Sea

The Dark Frontier

Mining has evolved in the 21st century into an indispensable industry that provides a variety of mineral products needed to sustain a modern society. To achieve efficiency, it has also grown into an integrated enterprise of enormous size, wielding substantial economic power. Tailings is essentially a fine-particle mine-waste byproduct. Its management has gone through major transformations in the last century. In early years tailings was disposed of out of sight and literally out of mind. However, due to the physical and chemical characteristics of tailings, this laissez-faire approach in dealing with its disposal led to significant environmental degradation such as pollution and blockage of watercourses, etc. With the rising environmental protection movement, the mining operation is under increasing regulatory constraints and governmental monitoring. Modern tailings dams have become major hydraulic structures designed, constructed, and monitored until they are properly closed and reclaimed after the completion of mining tenure. These dams are often higher than 100 m, with a storage capacity of over hundreds of million cubic metres, serving a vital industrial function for the public. Unfortunately, when such a dam fails, it unleashes tremendous destructive power causing inundation of water and tailings mud over the downstream area resulting in fatalities, loss of property and infrastructure, and lasting environmental degradation. This book presents a condensed monograph on forensic investigations of select case histories of failed tailings dams. The selection tends to emphasize recent cases that have representative characteristics including those affecting the evolution of the current practice of tailings dam engineering. Efforts are made to facilitate readers’ understanding of important factors involved by using plain language. Technical terms are clearly explained before their usage. The objective of the monograph is to provide a neutral reference on tailings dam failure.The author hopes ongoing dialogues by all stakeholders on the important topics of dam safety will raise the safety standard of tailings dams to a new level compatible with public expectations of the sustainable mining industry.&nbsp; &nbsp; &nbsp;&nbsp;

Socio-Economic-Environmental Impacts

Tailings Dam Failure

Introduction to Remote Sensing and GIS

Informations bibliographiques

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