Integration of Gis and Remote Sensing

Klappentext 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. Zusammenfassung 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 PrefaceList of Contributors1 GIS and remote sensing integration: in search of a definitionVictor Mesev and Alexandra Walrath1.1 Introduction1.2 In search of a definition1.3 Outline of the book1.4 Conclusions2 Integration taxonomy and uncertaintyManfred Ehlers2.1 Introduction2.2 Taxonomy issues2.3 Uncertainty issues2.4 Modelling positional and thematic error in the integration of remote sensing and GIS2.5 Conclusions3 Data fusion related to GIS and remote sensingPaolo Gamba and Fabio Dell'Acqua3.1 Introduction3.2 Why do we need GIS-remote sensing fusion?3.3 Problems in GIS-remote sensing data fusion3.4 Present and future solutions3.5 Conclusions4 The importance of scale in remote sensing and GIS and its implications for data integration.Peter M. Atkinson4.1 Introduction4.2 Data models and scales of measurement4....

Inhaltsverzeichnis

PrefaceList of Contributors1 GIS and remote sensing integration: in search of a definitionVictor Mesev and Alexandra Walrath1.1 Introduction1.2 In search of a definition1.3 Outline of the book1.4 Conclusions2 Integration taxonomy and uncertaintyManfred Ehlers2.1 Introduction2.2 Taxonomy issues2.3 Uncertainty issues2.4 Modelling positional and thematic error in the integration of remote sensing and GIS2.5 Conclusions3 Data fusion related to GIS and remote sensingPaolo Gamba and Fabio Dell'Acqua3.1 Introduction3.2 Why do we need GIS-remote sensing fusion?3.3 Problems in GIS-remote sensing data fusion3.4 Present and future solutions3.5 Conclusions4 The importance of scale in remote sensing and GIS and its implications for data integration.Peter M. Atkinson4.1 Introduction4.2 Data models and scales of measurement4.3 Scales of spatial variation4.4 Remote sensing and GIS data integration4.5 Conclusion5 Of patterns and processes: spatial metrics and geostatistics in urban analysisXiaoHang Liu and Martin Herold5.1 Introduction5.2 Geostatistics5.3 Spatial metrics5.4 Examples5.5 Conclusion6 Using remote sensing and GIS integration to identify spatial characteristics of sprawl at the building-unit levelJohn Hasse6.1 Introduction6.2 Sprawl in the remote sensing and GIS literature6.3 Integrating remote sensing and GIS for sprawl research6.4 Spatial characteristics of sprawl at a building-unit level6.5 A practical building-unit level model for analysing sprawl6.6. Future benefits of integrating remote sensing and gis in sprawl research7 Remote sensing applications in urban socio-economic analysisChiangshan Wu7.1 Introduction7.2 Principles of urban socio-economic studies using remote sensing technologies7.3 Socio-economic information estimation7.4 Socio-economic activity modelling7.5 Advantages and limitations of remote sensing technologies in socio-economic applications7.6 Conclusions8 Integrating remote sensing, GIS and spatial modelling for sustainable urban growth managementXiaojun Yang8.1 Introduction8.2 Research methodology8.3 Results and discussion8.4 Conclusions9 An integrative GIS and remote sensing model for place-based urban vulnerability analysisTarek Rashed, John Weeks, Helen Couclelis and Martin Herold9.1 Introduction9.2 Analysis of urban vulnerability: what is it all about?9.3 A conceptual framework for place-based analysis of urban vulnerability9.4 Integrating GIS and remote sensing into vulnerability analysis9.5 A GIS-remote sensing place-based model for urban vulnerability analysis9.6 An illustrative example of model applicationÂ9.7 Conclusions10 Using GIS and remote sensing for ecological mapping and monitoringJennifer Miller and John Rogan10.1 Introduction10.2 Integration of GIS and remote sensing in ecological research10.3 GIS data used in ecological applications10.4 Remotely sensed data for ecological applications10.5 Species distribution models10.6 Change detection10.7 Conclusions11 Remote sensing and GIS for ephemeral wetland monitoring and sustainability in southern MauritaniaTara Shine and Victor Mesev11.1 Introduction11.2 Ephemeral wetlands in Mauritania11.3 Conclusions

Produktdetails

• Autoren: V Mesev, Victor Mesev, Victor (Florida State University Mesev, Mesev Victor
• Mitarbeit: Victor Mesev (Herausgeber)
• Verlag: Wiley, John and Sons Ltd
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 16.11.2007
• EAN: 9780470864104
• ISBN: 978-0-470-86410-4
• Seiten: 312
• Serien: Mastering GIS: Technology, Applications & Management; Mastering GIS: Technol, Applications & Mgmnt; Mastering GIS: Technology, Applications & Management; Mastering GIS: Technol, Applic
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Technik > Elektronik, Elektrotechnik, Nachrichtentechnik; Geowissenschaften, Geographie, Geography, Geoinformationssystem, Earth Sciences, GIS u. Fernerkundung, GIS & Remote Sensing, GIS, Fernerkundung u. Kartographie, GIS, Remote Sensing & Cartography