Integration of Geographic Information Systems and Remote Sensing
Cambridge University Press
Published on 28. January 1997
Book
Hardback
245 pages
978-0-521-44032-5 (ISBN)
Article exhausted; check for reprint
Description
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.
More details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Illustrations
35 line figures 5 halftones 5 plates 8 tables
Dimensions
Height: 261 mm
Width: 183 mm
Thickness: 19 mm
Weight
695 gr
ISBN-13
978-0-521-44032-5 (9780521440325)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Jeffrey L. Star | John E. Estes | Kenneth C. McGwire
Integration of Geographic Information Systems and Remote Sensing
Book
11/2010
Cambridge University Press
€89.80
Shipment within 15-20 days
Additional editions

Jeffrey L. Star | John E. Estes | Kenneth C. McGwire
Integration of Geographic Information Systems and Remote Sensing
Book
11/2010
Cambridge University Press
€89.80
Shipment within 15-20 days
Persons
Editor
University of California, Santa Barbara
University of California, Santa Barbara
Content
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.