environmental remote sensing and systems analysis

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Environmental Remote Sensing And Systems Analysis

Author : Ni-Bin Chang
ISBN : 9781439877449
Genre : Science
File Size : 90. 39 MB
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Using a systems analysis approach and extensive case studies, Environmental Remote Sensing and Systems Analysis shows how remote sensing can be used to support environmental decision making. It presents a multidisciplinary framework and the latest remote sensing tools to understand environmental impacts, management complexity, and policy implications. Organized into three parts, this full-color book provides systematic coverage of water quality monitoring, air quality monitoring, and monitoring of land use patterns and degradation. Chapters elaborate on the interactions between human and natural systems, addressing questions such as "what are the regional impacts of an oil spill in coastal environments?" and "how does urbanization affect the rate of infiltration of water at urban–rural interfaces?" Throughout, contributors discuss new techniques and methods for measurements, mathematical modeling, and image processing. Key features: Compares data mining, machine learning, and image processing methods to help you select the best one for your needs Incorporates ground-based monitoring networks as part of air and water quality management Emphasizes environmental information management, with proper integration of GPS, GIS, and existing environmental databases Shows how modeling can be used for decision making Examines how remote sensing can be used to understand environmental health implications and to shape environmental management policies Demonstrates how systems analysis can be used to aid in environmental policy analysis Discusses opportunities for integrated field and laboratory studies in remote sensing education A useful reference for students, professionals, scientists, and policy makers in environmental management and informatics as well as environmental, agricultural, forest, and sustainability sciences, this book shows readers how to monitor air, soil, and water quality using state-of-the-art remote sensing tools.

Environmental Indices Systems Analysis Approach Volume I

Author : Yuri A. Pykh
ISBN : 9780953494408
Genre : Environmental indicators
File Size : 52. 86 MB
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Environmental Indices: Systems Analysis Approach examines the theoretical development of environmental indices and their practical application. Indicators can be powerful tools in guiding data and information collection processes, and careful development will lead to more focused and cost-effective global monitoring and observing systems at international level. The authorship is drawn from a group of internationally distinguished scientists and researches who are actively working towards a comprehensive set of tools and protocols such as simulation models, fuzzy clustering analysis and GIS methodologies that will lead to the development of meaningful environmental indices. This book will be a vital reference work for students, teachers and researches, together with policy makers, planners and all professional involved in development programs.

Environmental Modelling With Gis And Remote Sensing

Author : Andrew Skidmore
ISBN : 9780203302217
Genre : Technology & Engineering
File Size : 67. 89 MB
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Most government agencies and private companies are investing significant resources in the production and use of geographical data. The capabilities of Geographical Information Systems (GIS) for data analysis are also improving, to the extent that the potential performance of GIS software and the data available for analysis outstrip the abilities of managers and analysts to use and analyze the information. This is especially true for environmental applications. Here the need to keep up-to-date is essential for providing effective and efficient services. Environmental Modeling with GIS and Remote Sensing derives from a training course run by ITC for professionals and managers in the environmental sciences, detailing the applications of remote sensing and GIS for environmental modeling and assessment. It sets out the current research results and provides operational methods for environmental mapping and monitoring.

Introduction To Environmental Remote Sensing

Author : Eric Charles Barrett
ISBN : 0748740066
Genre : Science
File Size : 70. 75 MB
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Taking a detailed, non mathematical approach to two broad areas of principles and applications, this book progresses from the physical principles on which remote sensing is based - equipment, techniques and data analysis -through to the application of remote sensing to both physical phenomena and events, and to human activies and man-made landscapes.

Multisensor Data Fusion And Machine Learning For Environmental Remote Sensing

Author : Ni-Bin Chang
ISBN : 9781498774345
Genre : Technology & Engineering
File Size : 78. 45 MB
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In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive capabilities indicates promise for revolutionizing the study of global water, energy, and carbon cycles as well as land use and land cover changes. The aim of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new scientific architecture in remote sensing science that is designed to support numerical as well as symbolic feature extraction managed by several cognitively oriented machine learning tasks at finer scales. By grouping a suite of satellites with similar nature in platform design, data merging may come to help for cloudy pixel reconstruction over the space domain or concatenation of time series images over the time domain, or even both simultaneously. Organized in 5 parts, from Fundamental Principles of Remote Sensing; Feature Extraction for Remote Sensing; Image and Data Fusion for Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision Analysis, the book will be a useful reference for graduate students, academic scholars, and working professionals who are involved in the study of Earth systems and the environment for a sustainable future. The new knowledge in this book can be applied successfully in many areas of environmental science and engineering.

Proceedings Of The International Symposium On Remote Sensing Of Environment

Author :
ISBN : WISC:89093658425
Genre : Geophysics
File Size : 57. 96 MB
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Environmental Remote Sensing And Gis In Iraq

Author : Ayad M. Fadhil Al-Quraishi
ISBN : 9783030213442
Genre :
File Size : 23. 66 MB
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Advances In Environmental Remote Sensing

Author : Qihao Weng
ISBN : 1420091816
Genre : Technology & Engineering
File Size : 44. 25 MB
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Generating a satisfactory classification image from remote sensing data is not a straightforward task. Many factors contribute to this difficulty including the characteristics of a study area, availability of suitable remote sensing data, ancillary and ground reference data, proper use of variables and classification algorithms, and the analyst’s experience. An authoritative text, Advances in Environmental Remote Sensing: Sensors, Algorithms, and Applications compiles comprehensive review articles to examine the developments in concepts, methods, techniques, and applications as well as focused articles and case studies on the latest on a particular topic. Divided into four sections, the first deals with various sensors, systems, or sensing operations using different regions of wavelengths. Drawing on the data and lessons learned from the U.S. Landsat remote sensing programs, it reviews key concepts, methods, and practical uses of particular sensors/sensing systems. Section II presents new developments in algorithms and techniques, specifically in image preprocessing, thematic information extraction, and digital change detection. It gives correction algorithms for hyperspectral, thermal, and multispectral sensors, discusses the combined method for performing topographic and atmospheric corrections, and provides examples of correcting non-standard atmospheric conditions, including haze, cirrus, and cloud shadow. Section III focuses on remote sensing of vegetation and related features of the Earth’s surface. It reviews advancements in the remote sensing of ecosystem structure, process, and function, and notes important trade-offs and compromises in characterizing ecosystems from space related to spatial, spectral, and temporal resolutions of the imaging sensors. It discusses the mismatch between leaf-level and species-level ecological variables and satellite spatial resolutions and the resulting difficulties in validating satellite-derived products. Finally, Section IV examines developments in the remote sensing of air, water, and other terrestrial features, reviews MODIS algorithms for aerosol retrieval at both global and local scales, and demonstrates the retrieval of aerosol optical thickness (AOT). This section rounds out coverage with a look at remote sensing approaches to measure the urban environment and examines the most important concepts and recent research.

Geospatial Analysis Of Environmental Health

Author : Juliana A. Maantay
ISBN : 9400703295
Genre : Medical
File Size : 66. 5 MB
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This book focuses on a range of geospatial applications for environmental health research, including environmental justice issues, environmental health disparities, air and water contamination, and infectious diseases. Environmental health research is at an exciting point in its use of geotechnologies, and many researchers are working on innovative approaches. This book is a timely scholarly contribution in updating the key concepts and applications of using GIS and other geospatial methods for environmental health research. Each chapter contains original research which utilizes a geotechnical tool (Geographic Information Systems (GIS), remote sensing, GPS, etc.) to address an environmental health problem. The book is divided into three sections organized around the following themes: issues in GIS and environmental health research; using GIS to assess environmental health impacts; and geospatial methods for environmental health. Representing diverse case studies and geospatial methods, the book is likely to be of interest to researchers, practitioners and students across the geographic and environmental health sciences. The authors are leading researchers and practitioners in the field of GIS and environmental health.

Remote Sensing Of Impervious Surfaces

Author : Qihao Weng
ISBN : 1420043757
Genre : Technology & Engineering
File Size : 74. 65 MB
Format : PDF
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Remote sensing of impervious surfaces has matured using advances in geospatial technology so recent that its applications have received only sporadic coverage in remote sensing literature. Remote Sensing of Impervious Surfaces is the first to focus entirely on this developing field. It provides detailed coverage of mapping, data extraction, and modeling techniques specific to analyzing impervious surfaces, such as roads and buildings. Written by renowned experts in the field, this book reviews the major approaches that apply to this emerging field as well as current challenges, developments, and trends. The authors introduce remote sensing digital image processing techniques for estimating and mapping impervious surfaces in urban and rural areas. Presenting the latest modeling tools and algorithms for data extraction and analysis, the book explains how to differentiate roads, roofs, and other manmade structures from remotely sensed images for individual analysis. The final chapters examine how to use impervious surface data for predicting the flow of storm- or floodwater and studying trends in population, land use, resource distribution, and other real-world applications in environmental, urban, and regional planning. Each chapter offers a consistent format including a concise review of basic concepts and methodologies, timely case studies, and guidance for solving problems and analyzing data using the techniques presented.

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