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Saturday, November 24, 2007

This Book Is An Invaluable Reference For Students And Professionals Dealing With GIS Remote Sensing And Computer Science

Research and Markets has announced the addition of “Integration of GIS and Remote Sensing” to their offering.

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.

Preface

List of Contributors

1 GIS and remote sensing integration: in search of a definition

2 Integration taxonomy and uncertainty

3 Data fusion related to GIS and remote sensing

4 The importance of scale in remote sensing and GIS and its implications for data integration

5 Of patterns and processes: spatial metrics and geostatistics in urban analysis

6 Using remote sensing and GIS integration to identify spatial characteristics of sprawl at the building-unit level

7 Remote sensing applications in urban socio-economic analysis

8 Integrating remote sensing, GIS and spatial modelling for sustainable urban growth management

9 An integrative GIS and remote sensing model for place-based urban vulnerability analysis

10 Using GIS and remote sensing for ecological mapping and monitoring

11 Remote sensing and GIS for ephemeral wetland monitoring and sustainability in southern Mauritania

Press Release - Business Wire
© 2007 Business Wire

Victor Mesev, Xiaojun Yang, and Graduate Student Alexandra Walrath of Florida State University's Department of Geography are a few of the listed contributors.