Accuracy assessment of NLCD 2006 land cover and impervious surface

Remote Sensing of Environment
By: , and 



Release of NLCD 2006 provides the first wall-to-wall land-cover change database for the conterminous United States from Landsat Thematic Mapper (TM) data. Accuracy assessment of NLCD 2006 focused on four primary products: 2001 land cover, 2006 land cover, land-cover change between 2001 and 2006, and impervious surface change between 2001 and 2006. The accuracy assessment was conducted by selecting a stratified random sample of pixels with the reference classification interpreted from multi-temporal high resolution digital imagery. The NLCD Level II (16 classes) overall accuracies for the 2001 and 2006 land cover were 79% and 78%, respectively, with Level II user's accuracies exceeding 80% for water, high density urban, all upland forest classes, shrubland, and cropland for both dates. Level I (8 classes) accuracies were 85% for NLCD 2001 and 84% for NLCD 2006. The high overall and user's accuracies for the individual dates translated into high user's accuracies for the 2001–2006 change reporting themes water gain and loss, forest loss, urban gain, and the no-change reporting themes for water, urban, forest, and agriculture. The main factor limiting higher accuracies for the change reporting themes appeared to be difficulty in distinguishing the context of grass. We discuss the need for more research on land-cover change accuracy assessment.

Study Area

Publication type Article
Publication Subtype Journal Article
Title Accuracy assessment of NLCD 2006 land cover and impervious surface
Series title Remote Sensing of Environment
DOI 10.1016/j.rse.2012.12.001
Volume 130
Year Published 2013
Language English
Publisher Elsevier
Publisher location Amsterdam, Netherlands
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Description 11 p.
Larger Work Type Article
Larger Work Subtype Journal Article
Larger Work Title Remote Sensing of Environment
First page 294
Last page 304
Country United States
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