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.
Table of Contents
List of Figures
On Scale in Space, Time, and Space–Time
Keith C. Clarke and Ian J. Irmischer
Complexity and Geographic Scale
Dolores Jane Forbes
Scaling Geocomplexity and Remote Sensing
Fusion of Multiscaled Spatial and Temporal Data: Techniques and Issues
Bandana Kar and Edwin Chow
Error and Accuracy Assessment for Fused Data: Remote Sensing and GIS
Edwin Chow and Bandana Kar
Remote Sensing Techniques for Forest Fire Disaster Management: The FireHub Operational Platform
Charalampos Kontoes, Ioannis Papoutsis, Themistocles Herekakis, Emmanuela Ieronymidi, and Iphigenia Keramitsoglou
Geomorphometry and Mountain Geodynamics: Issues of Scale and Complexity
Michael P. Bishop and Iliyana D. Dobreva
Downscaling on Demand: Examples in Forest Canopy Mapping
Gordon M. Green, Sean C. Ahearn, and Wenge Ni-Meister
Multiscale Analysis of Urban Areas Using Mixing Models
Dar Roberts, Michael Alonzo, Erin B. Wetherley, Kenneth L. Dudley, and Phillip E. Dennison
Urban Road Extraction from Combined Data Sets of High-Resolution Satellite Imagery and Lidar Data
Minjuan Cheng and Qihao Weng
Integrating Remotely Sensed Climate and Environmental Information into Public Health
Pietro Ceccato, Stephen Connor, Tufa Dinku, Andrew Kruczkiewicz,, Jerrod Lessel, Alexandra Sweeney, and Madeleine C. Thomson
Scale in Disease Transmission, Surveillance, and Modeling
Remote Sensing and Socioeconomic Data Integration: Lessons from the NASA Socioeconomic Data and Applications Center
Alex de Sherbinin
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.
"This book provides a new and comprehensive view of what scale means in today's rapidly advancing world of geographic information technologies. The authors and editors are some of the most reputable figures in the field, and passionate about creating more awareness of the importance of scale, and more knowledge of its properties and impacts. It is a very welcome addition to the literature on the topic, one that should be part of the library of every environmental or social scientist."
—Michael F. Goodchild, University of California, Santa Barbara, USA
"This book is a superb mix of theory and a wide range of impactful applications, and at the same time integrates this with modern concepts and data sources such as complexity science and crowd-sourcing. I recommend this book to readers who are keen to understand the real world, and to know how to manipulate spatial and space-time data in a principled way."
—Peter M. Atkinson, Lancaster University, United Kingdom
"The scale is a fundamental concept in geographical analysis, and this book addresse[s] the importance of scale in remote sensing (or broadly GIScience) from different per-spectives. This well-organized book includes four themes (13 Chapters), namely scale/multi-scaling issues, physical scale, human scale, and social scale."
—Mingshu Wang, University of Twente, Netherlands