Novel Image-based Methods for Quantitative Real Time Environmental Monitoring


Book Description

Environmental pollution has been one of the most challenging problems in modern society and more and more health issues are now linked to environmental pollution and especially, air pollution. Certain sensitive group like patients with asthma are highly influenced by the environmental air quality and knowledge of the daily air pollution exposure is of great importance for the management and prevention of asthma attack. Hence small form factor, real time, accurate, sensitive and easy to use portable devices for environmental monitoring are of great value. Three novel image-based methods for quantitative real time environmental monitoring were introduced and the sensing principle, sensor performances were evaluated through simulation and field tests. The first sensing principle uses surface plasmon resonance (SPR) image and home-made molecular sieve (MS) column to realize real time chemical separation and detection. SPR is sensitive and non-specific, which makes it a desirable optical method for sensitive biological and chemical sensing, the miniaturized MS column provides small area footprint and makes it possible for SPR to record images of the whole column area. The innovative and system level integration approach provide a new way for simultaneous chemical separation and detection. The second sensor uses scattered laser light, Complementary metal-oxide-semiconductor (CMOS) imager and image processing to realize real-time particulate matter (PM) sensing. Complex but low latency algorithm was developed to obtain real time information for PM including PM number, size and size distribution. The third sensor uses gradient based colorimetric sensor, absorbance light signal and image processing to realize real-time Ozone sensing and achieved high sensitivity and substantially longer lifetime compared to conventional colorimetric sensors. The platform provides potential for multi-analyte integration and large-scale consumer use as wearable device. The three projects provide novel, state-of-the-art and sensitive solutions for environmental and personal exposure monitoring. Moreover, the sensing platforms also provide tools for clinicians and epidemiologists to conduct large scale clinical studies on the adverse health effects of pollutants on various kinds of diseases.




Real-Time Environmental Monitoring


Book Description

The natural environment is complex and changes continuously at varying paces. Many, like the weather, we notice from day to day. However, patterns and rhythms examined over time give us the bigger picture. These weather statistics become climate and help us build an understanding of the patterns of change over the long term. Real-Time Environmental Monitoring: Sensors and Systems introduces the fundamentals of environmental monitoring, based on electronic sensors, instruments, and systems that allow real-time and long-term data acquisition, data-logging, and telemetry. The book details state-of-the-art technology, using a practical approach, and includes applications to many environmental and ecological systems. In the first part of the book, the author develops a story of how starting with sensors, you can progressively build more complex instruments, leading to entire systems that end with databases and web servers. In the second part, he covers a variety of sensors and systems employed to measure environmental variables in air, water, soils, vegetation canopies, and wildlife observation and tracking. This is an emerging area that is very important to some aspects of environmental assessment and compliance monitoring. Real-time monitoring approaches can facilitate the cost effective collection of data over time and, to some extent, negate the need for sample, collection, handling, and transport to a laboratory, either on-site or off-site. It provides the tools you need to develop, employ, and maintain environmental monitors.




Real-Time Environmental Monitoring


Book Description

The first hands-on environmental monitoring lab manual written in tutorial style and classroom tested. Includes 14 lab guides that parallel the theory developed in 14 chapters in the textbook. Provides clear step-by-step protocols to understand basic and advanced theory through applicable exercises and problems. Injects a practical implementation of the existing textbook A valuable guide for students and practitioners worldwide engaged in efforts to develop, employ, and maintain environmental monitors.




AACR 2016: Abstracts 2697-5293


Book Description

The AACR Annual Meeting is a must-attend event for cancer researchers and the broader cancer community. This year's theme, "Delivering Cures Through Cancer Science," reinforces the inextricable link between research and advances in patient care. The theme will be evident throughout the meeting as the latest, most exciting discoveries are presented in every area of cancer research. There will be a number of presentations that include exciting new data from cutting-edge clinical trials as well as companion presentations that spotlight the science behind the trials and implications for delivering improved care to patients. This book contains abstracts 2697-5293 presented on April 19-20, 2016, at the AACR Annual Meeting.




Advanced Environmental Monitoring with Remote Sensing Time Series Data and R


Book Description

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.




Image Segmentation for Environmental Monitoring


Book Description

OBIA, based on image segmentation and as an important remote sensing monitoring technology, has been widely used in forestry, vegetation, wetland, urban, crop, conservation, ecology, and agriculture areas. Although OBIA has considerably progressed in the past 20 years, OBIA still much room for further development, regardless of the technological aspect of OBIA or the prospective expansion field of applications. Therefore, this book was organized to further encourage OBIA technology development and expand OBIA applications. This book collects a total of eight papers, which compile the current state-of-the-art research and technology in the area of image segmentation, and highlight prominent current application directions. Therefore, this book not only contains innovative methods, but also covers the innovation of application-driven OBIA technology. The eight papers in this highlight both the popular applications (urban, vegetation, ecology) and several subjects that require additional research attention (landslide, arid-land).







Environmental Sensing and Monitoring Using Digital Camera (Penerbit USM)


Book Description

This monograph is the outcome of 15 years experience of working with satellite images with the funding from IRPA RM7, ESCAP NASDA, Science Fund and several short term grants. It introduces a new methodology and algorithms for water and air quality monitoring by using conventional digital camera as a sensor to provide multi-spectral remote sensing data. The image is either captured by a digital camera mounted in an unman aircraft vehicle (UAV) or directly captured from a light air-craft. New algorithms were developed to correlate the pollutant concentration with the digital images. The algorithms can also generate a map of the pollutant concentration of the studied area. Pollutant information is very important for survey information, tourism information, development assessment, coastal preservation and area development planning. This new methodology allows images to be captured below the cloud level. Thus, with this method and the algorithms, cloud cover problem of satellite and airborne images can be overcome. They also overcome the problems of time, money, and resources wasted in collecting in-situ data for algorithm calibration of cloud cover satellite images. Furthermore, they provide real-time, high accuracy information. Universiti Sains Malaysia, Penerbit Universiti Sains Malaysia




Environmental Monitoring


Book Description