Remotely-Sensed Cities
Coordonnateur : Mesev Victor
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.
Date de parution : 09-2019
15.2x22.9 cm
Disponible chez l'éditeur (délai d'approvisionnement : 14 jours).
Prix indicatif 74,82 €
Ajouter au panierDate de parution : 03-2003
15.2x22.9 cm
Thème de Remotely-Sensed Cities :
Mots-clés :
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