Integration of GIS and Remote Sensing
Mastering GIS: Technology, Applications and Management
(Sprache: Englisch)
Part of the Mastering GIS series, this invaluable one-stop reference work explores the tremendous potential that lies along the interface between GIS and remote sensing for activating seamless databases and instigating information interchange. Integration...
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Part of the Mastering GIS series, this invaluable one-stop reference work explores the tremendous potential that lies along the interface between GIS and remote sensing for activating seamless databases and instigating information interchange. Integration of GIS and Remote Sensing concentrates on the rigorous and meticulous aspects of analytical data matching and thematic compatibility - the true roots of all branches of GIS/remote sensing applications.
Klappentext zu „Integration of GIS and Remote Sensing “
In an age of unprecedented proliferation of data from disparate sources the urgency is to create efficient methodologies that can optimise data combinations and at the same time solve increasingly complex application problems. Integration of GIS and Remote Sensing explores the tremendous potential that lies along the interface between GIS and remote sensing for activating interoperable databases and instigating information interchange. It concentrates on the rigorous and meticulous aspects of analytical data matching and thematic compatibility - the true roots of all branches of GIS/remote sensing applications. However closer harmonization is tempered by numerous technical and institutional issues, including scale incompatibility, measurement disparities, and the inescapable notion that data from GIS and remote sensing essentially represent diametrically opposing conceptual views of reality.The first part of the book defines and characterises GIS and remote sensing and presents the reader with an awareness of the many scale, taxonomical and analytical problems when attempting integration. The second part of the book moves on to demonstrate the benefits and costs of integration across a number of human and environmental applications.
This book is an invaluable reference for students and professionals dealing not only with GIS and remote sensing, but also computer science, civil engineering, environmental science and urban planning within the academic, governmental and commercial/business sectors.
Inhaltsverzeichnis zu „Integration of GIS and Remote Sensing “
- Preface- List of Contributors
1 GIS and remote sensing integration: in search of a definition
- Victor Mesev and Alexandra Walrath
1.1 Introduction
1.2 In search of a definition
1.3 Outline of the book
1.4 Conclusions
2 Integration taxonomy and uncertainty
- Manfred Ehlers
2.1 Introduction
2.2 Taxonomy issues
2.3 Uncertainty issues
2.4 Modelling positional and thematic error in the integration of remote sensing and GIS
2.5 Conclusions
3 Data fusion related to GIS and remote sensing
- Paolo Gamba and Fabio Dell'Acqua
3.1 Introduction
3.2 Why do we need GIS-remote sensing fusion?
3.3 Problems in GIS-remote sensing data fusion
3.4 Present and future solutions
3.5 Conclusions
4 The importance of scale in remote sensing and GIS and its implications for data integration
- Peter M. Atkinson
4.1 Introduction
4.2 Data models and scales of measurement
4.3 Scales of spatial variation
4.4 Remote sensing and GIS data integration
4.5 Conclusion
5 Of patterns and processes: spatial metrics and geostatistics in urban analysis
- XiaoHang Liu and Martin Herold
5.1 Introduction
5.2 Geostatistics
5.3 Spatial metrics
5.4 Examples
5.5 Conclusion
6 Using remote sensing and GIS integration to identify spatial characteristics of sprawl at the building-unit level
- John Hasse
6.1 Introduction
6.2 Sprawl in the remote sensing and GIS literature
6.3 Integrating remote sensing and GIS for sprawl research
6.4 Spatial characteristics of sprawl at a building-unit level
6.5 A practical building-unit level model for analysing sprawl
6.6. Future benefits of integrating remote sensing and gis in sprawl research
7 Remote sensing applications in urban socio-economic analysis
- Chiangshan Wu
7.1 Introduction
7.2 Principles of urban socio-economic studies using remote sensing technologies
7.3 Socio-economic information estimation
7.4 Socio-economic activity modelling
7.5 Advantages and limitations of remote sensing technologies in
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socio-economic applications
7.6 Conclusions
8 Integrating remote sensing, GIS and spatial modelling for sustainable urban growth management
- Xiaojun Yang
8.1 Introduction
8.2 Research methodology
8.3 Results and discussion
8.4 Conclusions
9 An integrative GIS and remote sensing model for place-based urban vulnerability analysis
- Tarek Rashed, John Weeks, Helen Couclelis and Martin Herold
9.1 Introduction
9.2 Analysis of urban vulnerability: what is it all about?
9.3 A conceptual framework for place-based analysis of urban vulnerability
9.4 Integrating GIS and remote sensing into vulnerability analysis
9.5 A GIS-remote sensing place-based model for urban vulnerability analysis
9.6 An illustrative example of model application
9.7 Conclusions
10 Using GIS and remote sensing for ecological mapping and monitoring
- Jennifer Miller and John Rogan
10.1 Introduction
10.2 Integration of GIS and remote sensing in ecological research
10.3 GIS data used in ecological applications
10.4 Remotely sensed data for ecological applications
10.5 Species distribution models
10.6 Change detection
10.7 Conclusions
11 Remote sensing and GIS for ephemeral wetland monitoring and sustainability in southern Mauritania
- Tara Shine and Victor Mesev
11.1 Introduction
11.2 Ephemeral wetlands in Mauritania
11.3 Conclusions
7.6 Conclusions
8 Integrating remote sensing, GIS and spatial modelling for sustainable urban growth management
- Xiaojun Yang
8.1 Introduction
8.2 Research methodology
8.3 Results and discussion
8.4 Conclusions
9 An integrative GIS and remote sensing model for place-based urban vulnerability analysis
- Tarek Rashed, John Weeks, Helen Couclelis and Martin Herold
9.1 Introduction
9.2 Analysis of urban vulnerability: what is it all about?
9.3 A conceptual framework for place-based analysis of urban vulnerability
9.4 Integrating GIS and remote sensing into vulnerability analysis
9.5 A GIS-remote sensing place-based model for urban vulnerability analysis
9.6 An illustrative example of model application
9.7 Conclusions
10 Using GIS and remote sensing for ecological mapping and monitoring
- Jennifer Miller and John Rogan
10.1 Introduction
10.2 Integration of GIS and remote sensing in ecological research
10.3 GIS data used in ecological applications
10.4 Remotely sensed data for ecological applications
10.5 Species distribution models
10.6 Change detection
10.7 Conclusions
11 Remote sensing and GIS for ephemeral wetland monitoring and sustainability in southern Mauritania
- Tara Shine and Victor Mesev
11.1 Introduction
11.2 Ephemeral wetlands in Mauritania
11.3 Conclusions
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Autoren-Porträt
Dr. Victor Mesev. Chair, Department of Geography, Florida State University, USA
Bibliographische Angaben
- 2007, 1. Auflage, 312 Seiten, Maße: 22,9 cm, Gebunden, Englisch
- Herausgegeben: Victor Mesev
- Verlag: Wiley & Sons
- ISBN-10: 0470864095
- ISBN-13: 9780470864098
Sprache:
Englisch
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