Remotely-Sensed CitiesVictor Mesev CRC Press, 6 mrt 2003 - 433 pagina's 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. |
Inhoudsopgave
an introduction | 1 |
PART I | 13 |
Comparison of simulated IKONOS and SPOT HRV imagery | 23 |
a comparison of aerial photos | 47 |
Determining urban land use through an analysis of the | 83 |
The use of wavelets for feature extraction of cities from | 109 |
Refining methods for dasymetric mapping using satellite | 137 |
Zonebased estimation of population and housing units from | 157 |
Population mapping by geodemographics and digital imagery | 223 |
GIS and remote sensing in urban heat islands in the | 243 |
a global population database for estimating | 267 |
Overview of DMSP OLS and scope of applications | 281 |
Estimation of human population parameters using nighttime | 301 |
Estimating nonpopulation activities from nighttime satellite | 335 |
Does nighttime lighting deter crime? An analysis of remotely | 355 |
Essential reading | 373 |
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aerial airborne applications areal Baltsavias Barnsley building census tracts cent centroid city models classes classification accuracy cover classification cover mapping crime dasymetric mapping data set detection DMSP OLS edge Engineering and Remote Environment error extraction Figure Gabriel graphs Geographical Information Systems geometrical global grid heat island height high spatial resolution identified IKONOS images image classification image data International Journal Journal of Remote land cover Landsat laser LIDAR LIDAR data Longley measures Mesev method multispectral night-time lights objects orthoimage panchromatic per-parcel classification Photogrammetric Engineering Photogrammetry and Remote pixels population density population estimation prior probabilities properties radiance reference data regression relationship Remote Sensing remotely sensed images residential satellite imagery satellite sensor spatial resolution spectral wavebands SPOT HRV SPOT satellite statistics structure study area surface Table techniques temperature texture tion urban areas urban clusters urban heat islands urban land values variable vector wavelet zone