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 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