Sensing Changes

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.

Includes proceedings that cover 84 papers, presented at the 'Remote Sensing for a Changing Europe' symposium held in Istanbul, Turkey (2-5 June 2008).

Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition, is focused on the development and implementation of statistically motivated, data-driven techniques for digital image analysis of remotely sensed imagery and it features a tight interweaving of statistical and machine learning theory of algorithms with computer codes. It develops statistical methods for the analysis of optical/infrared and synthetic aperture radar (SAR) imagery, including wavelet transformations, kernel methods for nonlinear classification, as well as an introduction to deep learning in the context of feed forward neural networks. New in the Fourth Edition: An in-depth treatment of a recent sequential change detection algorithm for polarimetric SAR image time series. The accompanying software consists of Python (open source) versions of all of the main image analysis algorithms. Presents easy, platform-independent software installation methods (Docker containerization). Utilizes freely accessible imagery via the Google Earth Engine and provides many examples of cloud programming (Google Earth Engine API). Examines deep learning examples including TensorFlow and a sound introduction to neural networks, Based on the success and the reputation of the previous editions and compared to other textbooks in the market, Professor Canty’s fourth edition differs in the depth and sophistication of the material treated as well as in its consistent use of computer codes to illustrate the methods and algorithms discussed. It is self-contained and illustrated with many programming examples, all of which can be conveniently run in a web browser. Each chapter concludes with exercises complementing or extending the material in the text.

Experts report the state of the art in the study of global climate change using remote sensing techniques. Topics covered include the principles of remote sensing, the management of data, data requirements in climatology, the principles of modelling, the input of data into models, and the application of remote sensing to the atmosphere, ice and snow, seas and land. The book is highly topical given the current great public and scientific awareness of possible man-made changes to the climate. It is essential reading for anyone new to the field, and invaluable as a reference work to those already working in it.

This book provides an interesting snapshot of recent advances in the field of single molecule nanosensing. The ability to sense single molecules, and to precisely monitor and control their motion is crucial to build a microscopic understanding of key processes in nature, from protein folding to chemical reactions. Recently a range of new techniques have been developed that allow single molecule sensing and control without the use of fluorescent labels. This volume provides an overview of recent advances that take advantage of micro- and nanoscale sensing technologies and provide the prospect for rapid future progress. The book endeavors to provide basic introductions to key techniques, recent research highlights, and an outlook on big challenges in the field and where it will go in future. It is a valuable contribution to the field of single molecule nanosensing and it will be of great interest to graduates and researchers working in this topic.

David Stevens Space-based information, which includes earth observation data, is increasingly becoming an integral part of our lives. We have been relying for decades on data obtained from meteorological satellites for updates on the weather and to monitor weather-related natural disasters such as hurricanes. We now count on our personal satellite-based navigation systems to guide us to the nearest Starbucks Coffee and use web-based applications such as Google Earth and Microsoft Virtual Earth to study the area of places we will or would like to visit. At the same time, satellite-based technologies have experienced impressive growth in recent years with an increase in the number of available sensors, an increase in spatial, temporal and spectral resolutions, an increase in the availability of radar satellites such as Terrasar-X and ALOS, and the launching of specific constellations such as the Disaster Monitoring Constellation (DMC), COSMO- SkyMed (COnstellation of small Satellites for the Mediterranean basin Observation) and RapidEye. Even more recent are the initiatives being set-up to ensure that space-based information is being accessed and used by decision makers, such as Sentinel Asia for the Asia and Pacific region and SERVIR for the Latin America and Caribbean region.

Comprehensive Remote Sensing covers all aspects of the topic, with each volume edited by well-known scientists and contributed to by frontier researchers. It is a comprehensive resource that will benefit both students and researchers who want to further their understanding in this discipline. The field of remote sensing has quadrupled in size in the past two decades, and increasingly draws in individuals working in a diverse set of disciplines ranging from geographers, oceanographers, and meteorologists, to physicists and computer scientists. Researchers from a variety of backgrounds are now accessing remote sensing data, creating an urgent need for a one-stop reference work that can comprehensively document the development of remote sensing, from the basic principles, modeling and practical algorithms, to various applications. Fully comprehensive coverage of this rapidly growing discipline, giving readers a detailed overview of all aspects of Remote Sensing principles and applications Contains ‘Layered content’, with each article beginning with the basics and then moving on to more complex concepts Ideal for advanced undergraduates and academic researchers Includes case studies that illustrate the practical application of remote sensing principles, further enhancing understanding