Synergistic use of Landsat Multispectral Scanner with GIRAS land-cover data to retrieve impervious surface area for the Potomac River Basin in 1975

摘要: Abstract For many studies of urbanization, particularly those covering broad spatial extents and thus requiring the perspective afforded by satellite remote sensing, longest time series impervious surface area (ISA) initiate with availability Landsat Thematic Mapper (TM) data in mid 1980s. Earlier generation sensing data, such as Multispectral Scanner (MSS) do not generally lead to robust representations due poor spectral differentiation between non-impervious surfaces lacking vegetation. In 1970s, however, USGS completed a comprehensive mapping land cover based on aerial photography called Geographic Information Retrieval Analysis System (GIRAS). this paper we describe methodology for retrieving ISA estimates through fusion GIRAS historic contemporary resulting set that is temporally comparable more modern sets (e.g. National Land Cover Database (NLCD) product). We calculate correlation coefficients our digitized at 4 resolutions, exhibiting maximum 0.65 120-m 240-m pixel sizes. Our highest resolution product (30-m) exhibited 94% accuracy kappa coefficient 36% rural areas, 90.7% 59.6% suburban areas. Further, show trends urban derived from these exhibit accelerating rates development throughout Potomac River basin 1975–2001, including increased riparian buffer zones steeper topography. These results are applicable wherever low-resolution vector-based available or could be generated pre-Landsat TM era.