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Einband grossIntegrating Scale in Remote Sensing and GIS
ISBN/GTIN

Integrating Scale in Remote Sensing and GIS

E-BookPDFDRM AdobeE-Book
440 Seiten
Englisch
Taylor & Franciserschienen am06.01.2017
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. It demonstrates new developments in the concept of scale within the purview of the "science of scale" for multispatial, multitemporal, and multispectral data. Divided into four thematic groups: scale issues and multiple scaling; physical scale as applied to natural resources; urban scale; and human health/social scale, this book is a vital resource to researchers, instructors, and students alike, seriously involved in the field of GIScience.mehr
Verfügbare Formate
BuchGebunden
EUR258,50
E-BookPDFDRM AdobeE-Book
EUR83,99
E-BookEPUBDRM AdobeE-Book
EUR83,99

Produkt

KlappentextIntegrating 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. It demonstrates new developments in the concept of scale within the purview of the "science of scale" for multispatial, multitemporal, and multispectral data. Divided into four thematic groups: scale issues and multiple scaling; physical scale as applied to natural resources; urban scale; and human health/social scale, this book is a vital resource to researchers, instructors, and students alike, seriously involved in the field of GIScience.
Details
Weitere ISBN/GTIN9781482218275
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format HinweisDRM Adobe
Erscheinungsjahr2017
Erscheinungsdatum06.01.2017
Seiten440 Seiten
SpracheEnglisch
Dateigrösse20510 Kbytes
Illustrationen134 schwarz-weiße Abbildungen
Artikel-Nr.4552367
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr

Autor

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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