Integrating Scale in Remote Sensing and GIS (eBook, PDF)

Redaktion: Quattrochi, Dale A.; Emerson, Charles W.; Lam, Nina Siu-Ngan; Wentz, Elizabeth

• Format: PDF

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 440
• Erscheinungstermin: 6. Januar 2017
• Englisch
• ISBN-13: 9781482218275
• Artikelnr.: 47509565

Autorenporträt

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

Inhaltsangabe

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.