378 pages, b&w illus
Remotely Sensed Cities examines how the world's urban areas can be located, measured and analysed using information from the latest airborne and satellite remote sensors, including breakthroughs in the use of LIDAR and IKONOS data for precision mapping, and DMSP OLS night-time imagery for establishing global distributions of population and economic activity. Emphasis is also given to techniques on urban feature extraction using wavelet transforms, and graph-based structural pattern recognition; along with population mapping using zone-based dasymetric models, pixel-based entropy maximisation models and Bayesian classifications. In addition, novel applications include links with geodemographics, crime prevention, and the importance of monitoring urban heat islands of cities in the developing world. The urban emphasis of this book helps to redress the balance with many publications on environmental remote sensing. Only relatively recently has remote sensing assumed equal importance in the monitoring of the world's centres of population. Dynamic changes in global urban growth and economic activity, especially in the developing world are rapidly attaining prominence in applications requiring precise delineation of urban features, and of changes and behaviour. The book is designed for upper-level undergraduates and graduate students, along with research scientists in geo-mapping disciplines, environmental issues and the social sciences. Mesev; Victor Florida State University, Tallahassee, USA
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