期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2005
卷号：XXXVI-8/W27
出版社：Copernicus Publications
摘要：Moderate resolution (< 50 m) optical sensors can provide multitemporal imagery of urban vegetation distribution and abundance. Given a rigorous, repeatable and verifiable method for estimating vegetation abundance, this imagery could provide important inputs to mesoscale models of ecologic, hydrologic, climatic processes. Spectral mixture analyses produce vegetation fraction estimates that can be radiometrically rectified for change analyses and can be validated with high spatial resolution (<5 m) optical imagery. A simple three endmember linear mixture mode l produces stable estimates of vegetation fraction for a wide range of land use types in New York City. These estimates agree to within 10% with aggregated 2.8 m estimates derived from Quickbird imagery. The observed scatter between the 30 m Landsat estimates and the aggregated 2.8 m Quickbird estimates is generally less than 10% and cannot be explained by estimation error alone. The form of the scatter can be explained by a combination of estimation error and subpixel spatial uncertainty in the registration of the Landsat imagery. The scatter is consistent with a 6% estimation error combined with a 17 m spatial misregistration between the Landsat and Quickbird imagery
