Front Matter; Remote Sensing as a Tool for Urban Planning and Sustainability; Automatic Land-Cover Classification Derived from High-Resolution IKONOS Satellite Imagery in the Urban Atlantic Forest of Rio de Janeiro, Brazil, by Means of an Object-Oriented Approach; Advances in Urban Remote Sensing: Examples From Berlin (Germany); Spatial Analysis of Urban Vegetation Scale and Abundance; Urban Environmental Monitoring in Buenos Aires -- Determining Green Areas; Challenges in Characterizing and Mitigating Urban Heat Islands -- A Role for Integrated Approaches Including Remote Sensing
Summary
Sometimes, science questions don't match well with what the operational problems and concerns of a given city are. This book presents data from six urban regions from all over the world, and explains what the questions are, and how one can use data and scientific skills to help answer them
