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：Declassification of high-resolution intelligence satellite photos from the Corona and Gambit programs (KH-1 through KH-4B and KH-7) has provided more than 879,000 scenes of the land surface acquired between 1960 and 1972. The spatial resolutions of these photographs are nominally comparable to current high-resolution commercial satellite imagery (e.g., IKONOS, QuickBird). Public access to this historical image record enables investigation into urban land cover change. However, the declassified imagery suffers from multiple limitations, including variable ranges in tone and contrast, geometric distortions, and sparse image metadata. How can these data be used to characterize urban land cover change in conjunction with current sensors. Within the context of a NASA LCLUC project on Kazakhstan, we acquired QuickBird imagery for the city of Almaty (2002/09/08) from DigitalGlobe, Inc. Corona and Gambit images of Almaty were acquired from the USGS archives. Two Gambit images (1964/04/23 and 1966/01/27) and two Corona images (1968/08/13 and 1971/09/17) were found for Almaty. The photos were acquired as film diapositives suitable for high-resolution scanning. For comparison purposes, a pseudo-albedo band was generated from the QuickBird data and the declassified photos were then co-registered to the QuickBird imagery. Observed types of urban change included expansion, densification, landscape transformation, and afforestation. Roads and individual buildings were also distinguishable. These results indicate that the historical satellite datasets can provide valuable information for the study of urban land cover dynamics
关键词：Urban; Multitemporal; International; High Resolution; Registration; Digitisation; Change Detection
