Regional Land Cover Characterization Using Landsat Thematic Mapper Data and Ancillary Data Sources

Land fragmentation under rapid urbanization: A cross-site analysis of Southwestern cities

“…To measure land fragmentation, we employ the National Land Cover Database (NLCD) for 1992 and 2001, compiled from Landsat Thematic Mapper (TM) images, which provides seamless coverage for all sites (Homer et al 2004). NLCD was the first nationwide initiative that provided consistent land-cover inventory for the US and it has been widely used in studying urbanization (Vogelmann et al 1998) and landscape fragmentation (Heilman et al 2009;Riitters et al 2002). The dataset does have limitations for land fragmentation analyses, especially in detecting peri-urban and exurban development (see for example Irwin and Bockstael 2007;Ward et al 2000).…”

“…In recent years, the greater availability of land-cover data derived from remotely sensed images has made it easier to study urban growth and sprawl (Dietzel et al 2005;Stefanov et al 2001;Vogelmann et al 1998;Yang and Lo 2002;Wang and Moskovits 2001) and to detect urban land fragmentation (Luck and Wu 2002;Wu et al 2010). Landsat images have been used in some cross-site studies to study urban land-use fragmentation (e.g., Luck and Wu 2002;Schneider and Woodcock 2008;Seto and Fragkias 2005;Wu et al 2010).…”

Water-Quality Characteristics of Cottonwood Creek, Taggart Creek, Lake Creek, and Granite Creek, Grand Teton National Park, Wyoming, 2006

“…Because most of the study area is contained within national forest or national park, land cover has not changed substantially since the data were compiled. Details of the NLCD land-cover classification process are discussed in Vogelmann, Sohl, Campbell, and Shaw (1998) and Vogelmann, Sohl, and Howard (1998 were not speciated for oxidation states. Chromium (VI), the most toxic of the chromium species, is used for comparison and represents a conservative value because all the dissolved chromium probably is not in the form of chromium (VI).…”

Effects of Percent Tree Canopy Density and DEM Misregistration on SRTM/NED Vegetation Height Estimates

“…Whereas NLCD 1992 was simply a landcover data set, NLCD 2001 is a landcover database comprised of three elements: landcover, impervious surface and the sub-pixel percent tree canopy density. Secondly, NLCD 2001 used improved classification algorithms [25], which have resulted in data with more precise rendering of spatial boundaries between the standard 16 classes (with an additional nine classes being available in coastal areas and another four classes in Alaska only).…”