Updating the 2001 National Land Cover Database land cover classification to 2006 by using Landsat imagery change detection methods

被引:339
作者
Xian, George [1 ]
Homer, Collin
Fry, Joyce [2 ]
机构
[1] US Geol Survey, ARTS, Earth Resources Observat & Sci Ctr, Sioux Falls, SD 57198 USA
[2] US Geol Survey, SGT, Earth Resources Observat & Sci Ctr, Sioux Falls, SD 57198 USA
关键词
Land cover; Change vector analysis; Normalization; Landsat imagery; Change detection; RELATIVE RADIOMETRIC NORMALIZATION; CONTERMINOUS UNITED-STATES; CHANGE-VECTOR ANALYSIS; SATELLITE IMAGES; COMPLETION; FEATURES;
D O I
10.1016/j.rse.2009.02.004
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The recent release of the U.S. Geological Survey (USGS) National Land Cover Database (NLCD) 2001, which represents the nation's land cover status based on a nominal date of 2001, is widely used as a baseline for national land cover conditions. To enable the updating of this land cover information in a consistent and continuous manner, a prototype method was developed to update land cover by an individual Landsat path and row. This method updates NLCD 2001 to a nominal date of 2006 by using both Landsat imagery and data from NLCD 2001 as the baseline. Pairs of Landsat scenes in the same season in 2001 and 2006 were acquired according to satellite paths and rows and normalized to allow calculation of change vectors between the two dates. Conservative thresholds based on Anderson Level I land cover classes were used to segregate the change vectors and determine areas of change and no-change. Once change areas had been identified, land cover classifications at the full NLCD resolution for 2006 areas of change were completed by sampling from NLCD 2001 in unchanged areas. Methods were developed and tested across five Landsat path/row study sites that contain several metropolitan areas including Seattle, Washington; San Diego, California; Sioux Falls, South Dakota; Jackson, Mississippi: and Manchester, New Hampshire. Results from the five study areas show that the vast majority of land cover change was captured and updated with overall land cover classification accuracies of 78.32%, 87.5%, 88.57%. 78.36%, and 83.33% for these areas. The method optimizes mapping efficiency and has the potential to provide users a flexible method to generate updated land cover at national and regional scales by using NLCD 2001 as the baseline. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码:1133 / 1147
页数:15
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