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Integration of Geographic Information Systems and Remote Sensing

Integration of Geographic Information Systems and Remote Sensing

Integration of Geographic Information Systems and Remote Sensing

Jeffrey L. Star, University of California, Santa Barbara
John E. Estes, University of California, Santa Barbara
Kenneth C. McGwire
November 2010
Paperback
9780521158800
AUD$92.68
exc GST
Paperback

    Remote sensing and geographic information systems (GIS) are inherently linked technologies. Together, they form a powerful tool to measure, map, monitor and model resources and environmental data for both scientific and commercial applications. Originally published in 1997, this book brought together work by leaders in the field to address improved techniques, applications and research in integrated remote sensing and geographical information systems. Among the topics covered are image rectification, change detection, visualisation, computer modelling, local land use planning, requirements of GIS in global change research, and potential directions for research. Remote sensing and GIS play a key role in studies of water resources, air quality, topography, land cover, and population location and dynamics, and specialists working at the local, regional and global levels will find this book a valuable and stimulating resource.

    • Comprehensive book linking these two technologies and their applications
    • Includes numerous illustrations plus colour plates
    • For researchers, planners and graduate students

    Product details

    November 2010
    Paperback
    9780521158800
    248 pages
    244 × 170 × 13 mm
    0.4kg
    Available

    Table of Contents

    • Credits
    • Preface
    • 1. Integration of geographic information systems and remote sensing: a background to NCGIA initiative 12
    • 2. Rectification and registration
    • 3. Principles of change detection using digital remote sensor data
    • 4. Visualization and the integration of remote sensing and geographic information
    • 5. Amazonia: a system for supporting data-intensive modeling
    • 6. Accuracy
    • 7. Integration of remote sensing and GIS technologies for planning
    • 8. Global change research and geographic information systems requirements
    • 9. Research needed to improve remote sensing and GIS integration: conclusions and a look towards the future
    • References
    • Index.