Description
Remotely-Sensed Cities
Coordinator: Mesev Victor
Language: English
Subject for Remotely-Sensed Cities:
Keywords
Urban Heat Island; Night Time Lights; Data Sets; Night Time Imagery; High Spatial Resolution Image Data; DMSP OLS; Ml Classification; DMSP Data; DMSP OLS Data; Night Time Light Data; NOAA National Geophysical Data Center; High Spatial Resolution Satellite Imagery; Ephemeral Lights; Urban Land Cover; OLS Data; Night Time Light Imagery; Dasymetric Mapping; CASI Imagery; Local Window Size; Ml Classifier; Population Distribution Model; Absolute Relative Error; Continental USA; Areal Interpolation; Minimum Area Thresholds
Publication date: 09-2019
· 15.2x22.9 cm · Paperback
Publication date: 03-2003
· 15.2x22.9 cm · Hardback
Description
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New urban applications are emerging for remote sensing, in particular with the use of high-resolution data for measuring, monitoring and analysis. This comes through the use of high spatial resolution imaging, such as for precision mapping of cities; new techniques for population mapping; extracting urban land use features, and evaluating the city energy patterns; and through the use of night-time imagery for determining populations and economic activity, particularly on a global scale.
Remotely Sensed Cities helps to redress the balance with remote sensing books, most of which are dedicated to the physical environment. It is designed for upper-level undergraduate and graduate students, along with research scientists and brings together a good deal of topical work applying remote sensing to the understanding of urban features, their behavior and growth.
