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Integration of Geographic Information Systems and Remote Sensing

Integration of Geographic Information Systems and Remote Sensing

£41.99

Part of Topics in Remote Sensing

  • Date Published: November 2010
  • availability: Available
  • format: Paperback
  • isbn: 9780521158800

£ 41.99
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About the Authors
  • 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
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    Product details

    • Date Published: November 2010
    • format: Paperback
    • isbn: 9780521158800
    • length: 248 pages
    • dimensions: 244 x 170 x 13 mm
    • weight: 0.4kg
    • availability: 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.

  • Editors

    Jeffrey L. Star, University of California, Santa Barbara

    John E. Estes, University of California, Santa Barbara

    Kenneth C. McGwire

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