This book provides balanced coverage of fundamental issues in both remote sensing and urban studies. Topics have been chosen to bridge the gap between remote sensing and urban studies through a better understanding of the science that underlies both fields.

"Remote Sensing of Urban and Suburban Areas" provides instructors with a text reference that has a logical and easy-to-follow flow of topics around which they can structure the syllabi of their urban remote sensing courses. Topics have been chosen to bridge the gap between remote sensing and urban studies through a better understanding of the science that underlies both fields. In so doing, the book includes 17 chapters written by leading international experts in respected fields to provide a balanced coverage of fundamental issues in both remote sensing and urban studies. Emphasis is placed on: theoretical and practical issues in contemporary urban studies and remote sensing; the spectral, spatial and temporal requirements of remotely sensed data in relation to various urban phenomena; methods and techniques for analyzing and integrating remotely sensed data and image processing with geographic information systems to address urban problems; and examples of applications in which applying remote sensing to tackle urban problems is deemed useful and important.

Logical and easy to follow flow of topics Contains educational aids such as: learning objectives, summarizing text boxes, exercises and learning activities at the end of each chapter Includes supplementary material: sn.pub/extras

Inhalt
Urban and Suburban Areas as a Research Topic for Remote Sensing.- Urban and Suburban Areas as a Research Topic for Remote Sensing.- Theoretical Aspects.- The Structure and Form of Urban Settlements.- Defining Urban Areas.- The Spectral Dimension in Urban Remote Sensing.- The Spatial and Temporal Nature of Urban Objects.- The V-I-S Model: Quantifying the Urban Environment.- Techniques and Applications.- A Survey of the Evolution of Remote Sensing Imaging Systems and Urban Remote Sensing Applications.- Classification of Urban Areas: Inferring Land Use from the Interpretation of Land Cover.- Processing Techniques for Hyperspectral Data.- Segmentation and Object-Based Image Analysis.- Data Fusion in Remote Sensing of Urban and Suburban Areas.- Characterization and Monitoring of Urban/Peri-urban Ecological Function and Landscape Structure Using Satellite Data.- Remote Sensing of Desert Cities in Developing Countries.- Remote Sensing of Urban Environmental Conditions.- Remote Sensing of Urban Land Use Change in Developing Countries: An Example from Büyükçekmece, Istanbul, Turkey.- Using Satellite Images in Policing Urban Environments.- Using DMSP OLS Imagery to Characterize Urban Populations in Developed and Developing Countries.