Uncertainty in Remote Sensing and GIS | ISBN 9780470859247

Uncertainty in Remote Sensing and GIS

herausgegeben von Giles M. Foody und Peter M. Atkinson
Mitwirkende
Herausgegeben vonGiles M. Foody
Herausgegeben vonPeter M. Atkinson
Buchcover Uncertainty in Remote Sensing and GIS  | EAN 9780470859247 | ISBN 0-470-85924-5 | ISBN 978-0-470-85924-7

Uncertainty in Remote Sensing and GIS

herausgegeben von Giles M. Foody und Peter M. Atkinson
Mitwirkende
Herausgegeben vonGiles M. Foody
Herausgegeben vonPeter M. Atkinson
Remote sensing and geographical information science (GIS) haveadvanced considerably in recent years. However, the potential ofremote sensing and GIS within the environmental sciences is limitedby uncertainty, especially in connection with the data sets andmethods used. In many studies, the issue of uncertainty has beenincompletely addressed. The situation has arisen in part from alack of appreciation of uncertainty and the problems it can causeas well as of the techniques that may be used to accommodateit.
This book provides general overviews on uncertainty in remotesensing and GIS that illustrate the range of uncertainties that mayoccur, in addition to describing the means of measuring uncertaintyand the impacts of uncertainty on analyses and interpretationsmade.
Uncertainty in Remote Sensing and GIS provides readers withcomprehensive coverage of this largely undocumented subject:
* Relevant to a broad variety of disciplines including geography, environmental science, electrical engineering and statistics
* Covers range of material from base overviews to specificapplications
* Focuses on issues connected with uncertainty at various pointsalong typical data analysis chains used in remote sensing andGIS
Written by an international team of researchers drawn from avariety of disciplines, Uncertainty in Remote Sensing and GISprovides focussed discussions on topics of considerable importanceto a broad research and user community. The book is invaluablereading for researchers, advanced students and practitioners whowant to understand the nature of uncertainty in remote sensing andGIS, its limitations and methods of accommodating it.