HR: 14:40h
AN: B23F-05    [Abstracts]
TI: A Prototype of Updating National Land Cover Dataset by Using Landsat Imagery
AU: * Xian, G
EM: xian@usgs.gov
AF: SAIC, contractor to USGS Center for Earth Resources Observation and Science, 47914 252nd street, Sioux Falls, 57198, United States
AU: Homer, C
EM: homer@usgs.gov
AF: USGS Center for Earth Resources Observation and Science, 47914 252nd street, Sioux Falls, 57198, United States
AU: Fry, J
EM: jfry@usgs.gov
AF: SAIC, contractor to USGS Center for Earth Resources Observation and Science, 47914 252nd street, Sioux Falls, 57198, United States
AB: The USGS National Land Cover Database (NLCD) 2001 represents the nation's land cover status based on a nominal date of 2001, and is now being widely used by many scientific research groups and government organizations. However, fundamental land cover changes due to many natural and anthropogenic factors continue to occur. Maintaining current land cover information is vital and relevant. Here, we report on a method to update the NLCD 2001 to a nominal date of 2006. Landsat scenes in the same season in 2001 and 2006 are first acquired according to satellite paths and rows. Images are then normalized to allow calculation of change vectors between the two dates. Conservative thresholds based on Anderson Level I land cover classes are used to determine areas of change and no-change. By assuming that the NLCD 2001 is accurate, data from NLCD 2001 is used as the baseline for updating land cover data to 2006. Land cover classification is accomplished within change areas by obtaining training datasets from unchanged NLCD 2001 areas. If no change has occurred, NLCD 2001 base information remains the same. Landsat scene pairs of 2001/2006 were tested in Seattle, Washington; San Diego, California; Sioux Falls, South Dakota; Jackson, Mississippi; and Manchester, New Hampshire, for their uses in generating Anderson Level II land cover classes and percent impervious surface. Results from the five tested sites show that the majority of changes of land cover characteristics are captured and updated. Percent impervious surface associated with new urban developments are also updated for all study areas. Proportional changes between the two time periods in these areas vary from 4.2 percent (New Hampshire) to 9.9 percent (Mississippi) for land cover, and from 6.9 percent (San Diego area) to 9.2 percent (Seattle area) for imperviousness.
DE: 0315 Biosphere/atmosphere interactions (0426, 1610)
DE: 0426 Biosphere/atmosphere interactions (0315)
DE: 1631 Land/atmosphere interactions (1218, 1843, 3322)
DE: 1640 Remote sensing (1855)
DE: 1843 Land/atmosphere interactions (1218, 1631, 3322)
SC: Biogeosciences [B]
MN: 2007 Fall Meeting