ISBN: 0496858858 9780496858859

Category: Unavailable

Page count: 650

From a remote sensing perspective, analyses of regional urban spectral libraries show that urban environments have unique characteristics and show a considerable amount of variability and spectral confusion between urban land cover types. Remote sensing data with higher spatial and spectral resolutions, and three-dimensional information from LIDAR allow for more detailed and accurate mapping of the urban environment. Distinct limitations in spectral land cover mapping are identified for broadband multispectral satellite sensors, like IKONOS, that can be partly resolved with object-oriented image processing techniques. Spatial metrics are a useful tool to describe and map spatial land cover characteristics. They provide sophisticated quantitative measurements of urban form (e.g. size, shape, density) and link urban land cover to urban land use. With multi-temporal remote sensing mapping products, spatial metrics are able to capture multi-faceted characteristics of dynamic urban growth processes on different spatial scales.