Remote Sensing and Urban Analysis : GISDATA 9

This book outlines a range of methods for the production and analysis of urban remote sensing data. These include improvements to per-pixel image classification algorithms, various methods of image fusion, syntactic pattern recognition techniques, the role of mathematical morphology, and geostatistical approaches to the analysis and interpretation of textural and spatial image patterns. The book covers the identification of urban forms, the delineation of agglomerations, and the measurement of urban morphology. Surface models are considered for the analysis of integrated data sets, in which the scope of the applications is widened to consider the estimation of human population levels.

One of the key geographical developments over the last two centuries has been that of urbanisation. In recent years this has exploded globally, particularly in developing countries. It is essential for governments, planners and researchers in geography and allied fields to understand this process and the main way of being able to do this is to accurately map these changes. The main method of this mapping is Remote Sensing.
This up-to-date analysis of the area looks at a wide range of methodologies currently being used to produce and analyse remotely sensed data of urban areas. The authors examine the various techniques used to extract information from digital, multispectral images of urban areas. Donnay and Barnsley then go on to look at the identification of urban forms, the delineation of agglomerations and the development of urban morphology, considering the analysis of integrated data sets and surface models and going on to look at the estimation of human population levels.