ABSTRACT
The use of imaging spectrometry for urban applications has made considerable progress over the past few years, in tandem with advances in high-spatial resolution urban remote sensing using sensors such as IKONOS. Imaging spectrometers acquire a large number of spectral bands with narrow bandwidths, and numerous studies have taken advantage of the vast amount of spectral detail for precise identification of chemical and physical material properties (Goetz et al., 1985). Traditionally, the majority of imaging spectrometry, also referred to as hyperspectral remote sensing, has focused on natural targets such as vegetation (e.g., Roberts et al., 1993) and minerals (e.g., Clark, 1999).
