Remote Sensing and GIS Integration : Theories, Methods, and Applications

GIS is predominantly a data-handling technology, while remote sensing is a data retrieval and analysis technology. This book addresses the need to combine remotely sensed data with cartographic, socioeconomic, and environmental data and GIS functionalities.

Remote Sensing and GIS Integration begins with theoretical discussions, followed by a series of application areas in urban and environmental studies that employ the integration of remote sensing and GIS. Each application area is examined through analysis of state-of-the-art methods and detailed presentations of one or more case studies.

Foreward
Preface
Acknowledgments

Chapter 1 : Principles of Remote Sensing and Geographic Information Systems (GIS)
Chapter 2 : Integration of Remote Sensing and Geographic Information Systems (GIS)
Chapter 3 : Urban Land Use and Land Cover Classification and Analysis
Chapter 4 : Urban Landscape Characterization
Chapter 5 : Urban Feature Extraction
Chapter 6 : Building Extraction from LiDAR Data
Chapter 7 : Urban Land Surface Temperature Analysis
Chapter 8 : Surface Runoff Modeling and Analysis
Chapter 9 : Assessing Urban Air Pollution Patterns
Chapter 10 : Population Estimation
Chapter 11 : Quality of Life Assessment
Chapter 12 : Urban and Regional Development
Chapter 13 : Public Health Applications
Index