Integrating Scale in Remote Sensing and GIS

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Integrating Scale in Remote Sensing and GIS serves as the most comprehensive documentation of the scientific and methodological advances that have taken place in integrating scale and remote sensing data. This work addresses the invariants of scale, the ability to change scale, measures of the impact of scale, scale as a parameter in process models, and the implementation of multiscale approaches as methods and techniques for integrating multiple kinds of remote sensing data collected at varying spatial, temporal, and radiometric scales. Researchers, instructors, and students alike will benefit from a guide that has been pragmatically divided into four thematic groups: scale issues and multiple scaling; physical scale as applied to natural resources; urban scale; and human health/social scale. Teeming with insights that elucidate the significance of scale as a foundation for geographic analysis, this book is a vital resource to those seriously involved in the field of GIScience.
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About the author

Dale A. Quattrochi is a geographer and senior research scientist with the NASA George C. Marshall Space Flight Center, Earth Science Office in Huntsville, Alabama. His research has focused on the analysis of multiscaled remote sensing data for GIS integration, the use of NASA satellite and airborne remote sensing data for analysis of land cover/land use changes, particularly as related to the urban environment, thermal remote sensing of the urban heat island effect, and in the applications of NASA data and models to public health issues. He is the coeditor of three books published by CRC Press: Scale in Remote Sensing and GIS (1997), Thermal Remote Sensing in Land Surface Processes (2004), and Urban Remote Sensing (2007). Dr. Quattrochi is the recipient of numerous awards, including the American Association of Geographers Remote Sensing Specialty Group Outstanding Achievement Award (1999), the NASA Medal for Exceptional Scientific Achievement (2001), the Ohio University College of Arts and Sciences Distinguished Alumni Award (2002), and the American Meteorological Society Helmut E. Landsberg Award (2015). He received his BS from Ohio University, his MS from the University of Tennessee, and his PhD from the University of Utah, all in geography.

Elizabeth A. Wentz is Dean of Social Science in the College of Liberal Arts and Sciences, Associate Director for the Institute of Social Science Research, and Professor in the School of Geographical Sciences and Urban Planning at Arizona State University. Her research focuses on the development and implementation of geographic technologies designed to establish better understanding of the urban environment. In particular, she has been involved in geographic tool development, urban remote sensing, and urban environmental analysis. Her research record includes over 35 peer-reviewed publications in high caliber journals and has primarily been funded through (single PI and collaborative projects) from NIH, USDA, NASA, and the NSF. Her research is highly collaborative with researchers across a broad range of social, physical, and computational disciplines through collaborative research both and ASU and other academic institutions including the University of Rhode Island, Yale University, The Polytechnic University of Lausanne in Switzerland, and NASA. In 2015-16, she served as President of the University Consortium for Geographic Information Science. She earned her PhD in Geography from the Pennsylvania State University, her MA in Geography from The Ohio State University, and her BS in Mathematics from The Ohio State University.

Nina Siu-Ngan Lam

received her BSSc in geography from the Chinese University of Hong Kong in 1975 and her MS and PhD in geography from the University of Western Ontario in 1976 and 1980. Dr. Lam is currently a professor and an E.L. Abraham Distinguished Professor in the Department of Environmental Sciences at Louisiana State University. She was chair of the department (2007–2010), director of the National Science Foundation’s Geography and Spatial Sciences Program (1999–2001), and president of the University Consortium for Geographic Information Science (UCGIS, 2005). Dr. Lam has authored or coauthored over 90 referred journal articles and book chapters, including a book titled Fractals in Geography. Other topics on which she is published include spatial interpolation, scale and uncertainties, cancer mortality, the spread of AIDS, environmental justice issues, disaster resilience, and coupled natural–human system modeling. Dr. Lam has been principal investigator or co-principal investigator on over 40 externally funded research projects. She teaches courses in GIS, remote sensing, and spatial modeling and has served as major advisor of 2 post-doctoral associates, 17 PhD students, and 29 master’s students.

Charles W. Emerson

received his BS degree in geography from the University of Georgia and MA and PhD degrees in geography from the University of Iowa. He has been a faculty member at Southwest Missouri State University for 3 years and has been at Western Michigan University since 1999. His research focuses on quantitative analysis of remotely sensed imagery using geostatistical techniques and fractals, integration of biophysical measurements with socioeconomic data, and using remotely sensed imagery from satellites and unmanned aerial vehicles to assist paleontological surveys.
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Additional Information

CRC Press
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Published on
Jan 6, 2017
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Technology & Engineering / Imaging Systems
Technology & Engineering / Remote Sensing & Geographic Information Systems
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Content Protection
This content is DRM protected.
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Eligible for Family Library

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High spatial resolution remote sensing is an area of considerable current interest and builds on developments in object-based image analysis, commercial high-resolution satellite sensors, and UAVs. It captures more details through high and very high resolution images (10 to 100 cm/pixel). This unprecedented level of detail offers the potential extraction of a range of multi-resource management information, such as precision farming, invasive and endangered vegetative species delineation, forest gap sizes and distribution, locations of highly valued habitats, or sub-canopy topographic information. Information extracted in high spatial remote sensing data right after a devastating earthquake can help assess the damage to roads and buildings and aid in emergency planning for contact and evacuation.

To effectively utilize information contained in high spatial resolution imagery, High Spatial Resolution Remote Sensing: Data, Analysis, and Applications addresses some key questions:

What are the challenges of using new sensors and new platforms?

What are the cutting-edge methods for fine-level information extraction from high spatial resolution images?

How can high spatial resolution data improve the quantification and characterization of physical-environmental or human patterns and processes?

The answers are built in three separate parts: (1) data acquisition and preprocessing, (2) algorithms and techniques, and (3) case studies and applications. They discuss the opportunities and challenges of using new sensors and platforms and high spatial resolution remote sensing data and recent developments with a focus on UAVs. This work addresses the issues related to high spatial image processing and introduces cutting-edge methods, summarizes state-of-the-art high spatial resolution applications, and demonstrates how high spatial resolution remote sensing can support the extraction of detailed information needed in different systems. Using various high spatial resolution data, the third part of this book covers a range of unique applications, from grasslands to wetlands, karst areas, and cherry orchard trees.

Geographic information systems have developed rapidly in the past decade, and are now a major class of software, with applications that include infrastructure maintenance, resource management, agriculture, Earth science, and planning. But a lack of standards has led to a general inability for one GIS to interoperate with another. It is difficult for one GIS to share data with another, or for people trained on one system to adapt easily to the commands and user interface of another. Failure to interoperate is a problem at many levels, ranging from the purely technical to the semantic and the institutional.
Interoperating Geographic Information Systems is about efforts to improve the ability of GISs to interoperate, and has been assembled through a collaboration between academic researchers and the software vendor community under the auspices of the US National Center for Geographic Information and Analysis and the Open GIS Consortium Inc. It includes chapters on the basic principles and the various conceptual frameworks that the research community has developed to think about the problem. Other chapters review a wide range of applications and the experiences of the authors in trying to achieve interoperability at a practical level. Interoperability opens enormous potential for new ways of using GIS and new mechanisms for exchanging data, and these are covered in chapters on information marketplaces, with special reference to geographic information. Institutional arrangements are also likely to be profoundly affected by the trend towards interoperable systems, and nowhere is the impact of interoperability more likely to cause fundamental change than in education, as educators address the needs of a new generation of GIS users with access to a new generation of tools. The book concludes with a series of chapters on education and institutional change.
Interoperating Geographic Information Systems is suitable as a secondary text for graduate level courses in computer science, geography, spatial databases, and interoperability and as a reference for researchers and practitioners in industry, commerce and government.
Driven by advances in technology and societal needs, the next frontier in remote sensing is urban areas. With the advent of high-resolution imagery and more capable techniques, the question has become "Now that we have the technology, how do we use it?" The need for a definitive resource that explores the technology of remote sensing and the issues it can resolve in an urban setting has never been more acute.

Containing contributions from world renowned experts, Urban Remote Sensing provides a review of basic concepts, methodologies, and case studies. Each chapter demonstrates how to apply up-to-date techniques to the problems identified and how to analyze research results.

Organized into five sections, this book: Focuses on data, sensors, and systems considerations as well as algorithms for urban feature extraction
Analyzes urban landscapes in terms of composition and structure, especially using sub-pixel analysis techniques
Presents methods for monitoring, analyzing, and modeling urban growth
Illustrates various approaches to urban planning and socio-economic applications of urban remote sensing
Assesses the progress made to date, identifies the existing problems and challenges, and demonstrates new developments and trends in urban remote sensing

This book is ideal for upper division undergraduate and graduate students, however it can also serve as a reference for researchers or those individuals interested in the remote sensing of cities in academia, and governmental and commercial sectors. Urban Remote Sensing examines how to apply remote sensing technology to urban and suburban areas.

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