This book provides a step-by-step guide on how to use various publicly available remotely sensed time series data sources for environmental monitoring and assessment. Readers will learn how to extract valuable information on global changes from a 20-year collection of ready-to-use remotely sensed data through the free open statistical software R and its geographic data analysis and modeling tools. The case studies are from the Mediterranean region—a designated hot spot regarding climate change effects. Each chapter is dedicated to specific remote sensing products chosen for their spatial resolution. The methods used are adapted from large-scale to smaller-scale problems for different land cover areas. Features Includes real-world applications of environmental remotely sensed data Analyzes the advantages and restrictions of each data source Focuses on a wide spectrum of applications, such as hydrology, vegetation changes, land surface temperature, fire detection, and impacts Includes R computer codes with explanatory comments and all applications use only freely available remotely sensed data Presents a step-by-step processing through open source GIS and statistical analysis software Advanced Environmental Monitoring with Remote Sensing Time Series Data and R describes and provides details on recent advances concerning publicly available remotely sensed time series data in environmental monitoring and assessment. This book is a must-have practical guide for environmental researchers, professionals, and students.

Monitoring pollutants in air, soil and water is a routine requirement in the workplace, and in the wider environment. Passive samplers can provide a representative picture of levels of pollutants over a period of time from days to months by measuring the average concentrations to which they have been exposed. Air monitors are widely used, for instance to measure the exposure of workers to volatile compounds, but also for monitoring the fate of pollutants in the atmosphere. Passive sampling devices are now becomining increasingly used to monitor pollutants in rivers, coastal waters and ground water where contamination results from sources such as domestic and industrial discharges, and the use of agrochemicals. Passive Sampling Techniques in Environmental Monitoring provides a timely collection of information on a set of techniques that help monitor the quality of air, surface and ground waters. Passive sampling can provide an inexpensive means of obtaining a representative picture of quality over a period of time, even where levels of pollutants fluctuate due to discontinuous discharges or seasonal application of chemicals such as pesticides. Recent changes in legislation have increased the pressure to obtain better information than that provided by classical infrequent spot sampling.Brought together in one source, this book looks at the performance of a range of devices for the passive sampling of metals, and of non-polar and polar organic chemicals in air and in water. The strengths and weaknesses and the range of applicability of the technology are considered.* Comprehensive review of passive sampling - covering air, water and majority of available technologies in one volume* Chapters written by international specialist experts * Covers theory and applications, providing background information and guidelines for use in the field

A critical technology in the science of contamination control, environmental monitoring is a technique that provides important data on the quality of a process, processing environment, and final product, which can aid scientists in identifying and eliminating potential sources of contamination in cleanrooms and controlled environments. In response

The current rate and scale of environmental change around the world makes the detection and understanding of these changes increasingly urgent. Subsequently, government legislation is focusing on measurable results of environmental programs, requiring researchers to employ effective and efficient methods for acquiring high-quality data. Focusing on pollution issues and impacts resulting from human activities, Environmental Monitoring is the first to bring together the conceptual basis behind the complex and specific approaches to the monitoring of air, water, and land. Coverage includes integrated monitoring at the landscape level, as well as case studies of existing monitoring programs such as the Chesapeake Bay Program. The book also addresses the recent legislative focus on high-quality data results and conducting monitoring programs in different ecosystems and environmental media.

This book is a printed edition of the Special Issue "UAV Sensors for Environmental Monitoring" that was published in Sensors

Long-term monitoring programs are fundamental to understanding the natural environment and managing major environmental problems. Yet they are often done very poorly and ineffectively. This second edition of the highly acclaimed Effective Ecological Monitoring describes what makes monitoring programs successful and how to ensure that long-term monitoring studies persist. The book has been fully revised and updated but remains concise, illustrating key aspects of effective monitoring with case studies and examples. It includes new sections comparing surveillance-based and question-based monitoring, analysing environmental observation networks, and provides examples of adaptive monitoring. Based on the authors’ 80 years of collective experience in running long-term research and monitoring programs, Effective Ecological Monitoring is a valuable resource for the natural resource management, ecological and environmental science and policy communities.

The preface of a book often provides a convenient place in which the author can tender his apologies for any inadequacies and affords him the facility to excuse himself by reminding the reader that his art is long but life, or at least the portion of it in which he has the opportunity for writing books, is short. I, too, am deeply conscious that I have undertaken a task which I could not hope to complete to my own satisfaction but I offer, in self defence, the observation that, inadequate though it is, there is no other book extant, so far as I am aware, which provides the information contained herein within the covers of a single volume. Often during the last decade, in discharging my responsibilities for the environmental aspects of the water authority's operations and works, I should have been deeply grateful to have had access to a compendium such as this. The lack of a convenient source of data made me aware of the need which I have attempted to fill and in doing so I have drawn on my experiences of the kinds of problem which are presented to biologists in the water industry. The maxim 'half a loaf is better than none' seems particularly apt in this context.

This book discusses a broad range of statistical design and analysis methods that are particularly well suited to pollution data. It explains key statistical techniques in easy-to-comprehend terms and uses practical examples, exercises, and case studies to illustrate procedures. Dr. Gilbert begins by discussing a space-time framework for sampling pollutants. He then shows how to use statistical sample survey methods to estimate average and total amounts of pollutants in the environment, and how to determine the number of field samples and measurements to collect for this purpose. Then a broad range of statistical analysis methods are described and illustrated. These include: * determining the number of samples needed to find hot spots * analyzing pollution data that are lognormally distributed * testing for trends over time or space * estimating the magnitude of trends * comparing pollution data from two or more populations New areas discussed in this sourcebook include statistical techniques for data that are correlated, reported as less than the measurement detection limit, or obtained from field-composited samples. Nonparametric statistical analysis methods are emphasized since parametric procedures are often not appropriate for pollution data. This book also provides an illustrated comprehensive computer code for nonparametric trend detection and estimation analyses as well as nineteen statistical tables to permit easy application of the discussed statistical techniques. In addition, many publications are cited that deal with the design of pollution studies and the statistical analysis of pollution data. This sourcebook will be a useful tool for applied statisticians, ecologists, radioecologists, hydrologists, biologists, environmental engineers, and other professionals who deal with the collection, analysis, and interpretation of pollution in air, water, and soil.

This book deals with recent developments and applications of environmental monitoring technologies, with emphasis on rapidly progressing optical and biological methods. Written by worldwide experts, this book will be of interest to environmental scientists in academia, research institutes, industry and the government.