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 Lamreceived 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. Emersonreceived 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.
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.