Integrating Scale in Remote Sensing and GIS

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

"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

• Introduction. Fundamentals of Multiscaled Remote Sensing Data for GIS Integration. Scale and Remote Sensing and GIS Integration: A Revisit of the Issues. Remote Sensing: Advances in Sensors and Data. Integration of Multispatial, Multitemporal, and Multispectral Remote Sensing Data in GIS: Progress and Challenges. Theory, Methods, and Techniques for Multiscale Data Integration. Computational and Technological Issues. Implementation of Multiscale Approaches: Methods and Examples. Modeling Methods for GIS Integration of Multiscaled Remote Sensing Data. Multiscaled Data Fusion for GIS Integration. Uncertainty and Error Analysis in Remote Sensing Data Integration with GIS. Geographic Object-Based Image Analysis. Temporal Analysis for Remote Sensing/GIS Integration. Applications of Multiscaled Remote Sensing and GIS. Approaches to Land Use/Land Change with Multiscaled Remote Sensing Data. Multiscaled Remote Sensing Data for Analysis of Landscape Heterogeneity. Environmental Modeling with Multiscaled Data. Use of Hyperspectral Data Remote Sensing Data in GIS. Analysis of Multiscaled Thermal Remote Sensing Data. Multiscaled Remote Sensing Data and GIS for Modeling Land Surface Processes. GIS, Multiscaled Remote Sensing Data for Climate Change Analysis. Integration of GPS, GIS, and Multiscaled Remote Sensing Data. Real Time Data and GIS Integration Applications. Multiscaled Remote Sensing Data, GIS Integration, and the Future. Summary. Epilogue.