Our bodies are archives of sensory knowledge that shape how we understand the world. If our environment changes at an unsettling pace, how will we make sense of a world that is no longer familiar? One of Canada's premier historians tackles this question by exploring situations in the recent past where state-driven megaprojects and regulatory and technological changes forced ordinary people to cope with transformations that were so radical that they no longer recognized their home and workplaces or, by implication, who they were. In concert with a ground-breaking, creative, and analytical website, megaprojects.uwo.ca, this timely study offers a prescient perspective on how humans make sense of a rapidly changing world.
Remote Sensing plays a key role in monitoring the various manifestations of global climate change. It is used routinely in the assessment and mapping of biodiversity over large areas, in the monitoring of changes to the physical environment, in assessing threats to various components of natural systems, and in the identification of priority areas for conservation. This book presents the fundamentals of remote sensing technology, but rather than containing lengthy explanations of sensor specifications and operation, it concentrates instead on the application of the technology to key environmental systems. Each system forms the basis of a separate chapter, and each is illustrated by real world case studies and examples. Readership The book is intended for advanced undergraduate and graduate students in earth science, environmental science, or physical geography taking a course in environmental remote sensing. It will also be an invaluable reference for environmental scientists and managers who require an overview of the use of remote sensing in monitoring and mapping environmental change at regional and global scales. Additional resources for this book can be found at: http://www.wiley.com/go/purkis/remote.
Change Detection and Image Time Series Analysis 1 presents a wide range of unsupervised methods for temporal evolution analysis through the use of image time series associated with optical and/or synthetic aperture radar acquisition modalities. Chapter 1 introduces two unsupervised approaches to multiple-change detection in bi-temporal multivariate images, with Chapters 2 and 3 addressing change detection in image time series in the context of the statistical analysis of covariance matrices. Chapter 4 focuses on wavelets and convolutional-neural filters for feature extraction and entropy-based anomaly detection, and Chapter 5 deals with a number of metrics such as cross correlation ratios and the Hausdorff distance for variational analysis of the state of snow. Chapter 6 presents a fractional dynamic stochastic field model for spatio temporal forecasting and for monitoring fast-moving meteorological events such as cyclones. Chapter 7 proposes an analysis based on characteristic points for texture modeling, in the context of graph theory, and Chapter 8 focuses on detecting new land cover types by classification-based change detection or feature/pixel based change detection. Chapter 9 focuses on the modeling of classes in the difference image and derives a multiclass model for this difference image in the context of change vector analysis.
The AXTracker is a battery-operated, self-contained telemetry device designed to communicate via the Globalstar satellite network and capable of providing asset tracking and fleet management in remote regions.
Change detection using remotely sensed images has many applications, such as urban monitoring, land-cover change analysis, and disaster management. This work investigates two-dimensional change detection methods. The existing methods in the literature are grouped into four categories: pixel-based, transformation-based, texture analysis-based, and structure-based. In addition to testing existing methods, four new change detection methods are introduced: fuzzy logic-based, shadow detection-based, local feature-based, and bipartite graph matching-based. The latter two methods form the basis for a structural analysis of change detection. Three thresholding algorithms are compared, and their effects on the performance of change detection methods are measured. These tests on existing and novel change detection methods make use of a total of 35 panchromatic and multi-spectral Ikonos image sets. Quantitative test results and their interpretations are provided.
In this volume of Cell and Molecular Responses to Stress articles provide up-to-date information on key areas of signal sensing (sensing of pain, heat, cold, light, infrared radiation), molecules involved in the intracellular transmission of these signals, metabolic responses to stress including changes in gene expression and production of specialized proteins that aid cell responses to factors including interrupted blood supply (ischemia), oxygen limitation (hypoxia/anoxia), freezing and dehydration, amino acid limitation, radiation and processing drugs. There are chapters which also provide insights into new technologies (such as cDNA arrays), analysis of metabolic control theory (a key method for analysing stress effects on cells), and examine how enzymes evolve in the face of stress.
This book contains a collection of selected works stemming from the 2013 International Conference on Sensing Technology (ICST), which was held in Wellington, New Zealand. The purpose of the book is to distill the highlights of the conference, and therefore track the latest developments in sensing technologies. The book contents are broad, since sensors can be applied in many different areas. Therefore the book gives a broad overview of the latest developments, in addition to discussing the process through which researchers go through in order to develop sensors, or related systems, which will become more widespread in the future. The book is written for academic and industry professionals working in the field of sensing, instrumentation and related fields, and is positioned to give a snapshot of the current state of the art in sensing technology, particularly from the applied perspective.
This book is the second edition of Environmental Monitoring using GNSS and highlights the latest developments in global navigation satellite systems (GNSS). It features a completely new title and additional chapters that present emerging challenges to environmental monitoring—“climate variability/change and food insecurity.” Since the publication of the first edition, much has changed in both the development and applications of GNSS, a satellite microwave remote sensing technique. It is the first tool to span all four dimensions of relevance to humans (position, navigation, timing and the environment), and it has widely been used for positioning (both by military and civilians), navigation and timing. Its increasing use is leading to a new era of remote sensing that is now revolutionizing the art of monitoring our environment in ways never imagined before. On the one hand, nearly all GNSS satellites (Global Positioning System (GPS), Global Navigation Satellite System (GLONASS), Galileo and Beidou) have become operational, thereby providing high-precision, continuous, all-weather and near real- time remote sensing multi-signals beneficial to environmental monitoring. On the other hand, the emerging challenges of precisely monitoring climate change and the demand for the production of sufficient food for ever-increasing populations are pushing traditional monitoring methods to their limits. In this regard, refracted GNSS signals (i.e., occulted GNSS signals or GNSS meteorology) are now emerging as sensors of climate variability, while the reflected signals (GNSS reflectometry or GNSS-R) are increasingly finding applications in determining, e.g., soil moisture content, ice and snow thickness, ocean heights, and wind speed and direction, among others. Furthermore, the increasing recognition and application of GNSS-supported unmanned aircraft vehicles (UAV)/drones in agriculture (e.g., through the determination of water holding capacity of soil) highlights the new challenges facing GNSS. As such, this new edition three new chapters address GNSS reflectometry and applications; GNSS sensing of climate variability; and the applications in UAV/drones. Moreover, it explores the application of GNSS to support integrated coastal zone management.
Climate change not only involves rising temperatures but it can also alter the hydro-meteorological parameters of a region and the corresponding changes emerging in the various biotic or abiotic environmental features. One of the results of climate change has been the impact on the sediment yield and its transport. These changes have implications for various other environmental components, particularly soils, water bodies, water quality, land productivity, sedimentation processes, glacier dynamics, and risk management strategies to name a few. This volume provides an overview of the fundamental processes and impacts of climate change on river basin management and examines issues related to soil erosion, sedimentation, and contaminants, as well as rainfall-runoff modeling and flood mitigation strategies. It also includes coverage of climate change fundamentals as well as chapters on related global treaties and policies.
Exploring the World of Arduino Sensors In today's era of rapid technological advancement, the ability to sense and interact with the physical world has become a cornerstone of innovation. This capability allows us to gather data, automate tasks, create responsive systems, and bring our ideas to life in exciting ways. At the heart of this capability lies an incredible ecosystem of sensors, and at the forefront of accessible and versatile sensor platforms stands the Arduino. Arduino, the open-source electronics platform, has revolutionized the way we approach electronics projects. Its user-friendly interface, extensive community support, and a rich library of sensors and modules have democratized electronics, making it accessible to hobbyists, students, and professionals alike. In this document (or project), we delve into the fascinating realm of Arduino sensors. These remarkable devices come in a myriad of forms, each designed to detect and measure specific physical phenomena. From monitoring environmental parameters such as temperature and humidity to tracking motion, light, sound, and even the Earth's position in space, Arduino sensors empower us to create solutions to an array of challenges. Our journey through Arduino sensors will introduce us to an eclectic mix of devices, each with its unique abilities and applications. We will explore how these sensors work, how to connect them to Arduino boards, and how to write code that harnesses their data. Whether you're a seasoned maker looking to expand your toolkit or a newcomer eager to embark on your first sensor-driven project, this exploration promises to be an enlightening adventure. Together, we will unlock the potential of Arduino sensors, pushing the boundaries of what we can sense and achieve. Whether it's building a weather station, designing a home automation system, or crafting an interactive artwork, Arduino sensors are the tools that will help us transform imagination into reality. So, let's embark on this journey into the world of Arduino sensors, where innovation knows no bounds, and where the fusion of electronics and creativity opens doors to endless possibilities.
