Skip to Main Content
A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategiesAuthor(s): Limin Yang; Suming Jin; Patrick Danielson; Collin Homer; Leila Gass; Stacie M. Bender; Adam Case; Catherine Costello; Jon Dewitz; Joyce Fry; Michelle Funk; Brian Granneman; Greg C. Liknes; Matthew Rigge; George Xian
Source: ISPRS Journal of Photogrammetry and Remote Sensing
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
View PDF (3.0 MB)
DescriptionThe U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released four National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, and 2011. These products provide spatially explicit and reliable information on the Nation's land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2016. The NLCD 2016 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2016 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2016: a streamlined process for assembling and preprocessing Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2016 production. The performance of the developed strategies and methods were tested in twenty World Reference System-2 path/row throughout the conterminous U.S. An overall agreement ranging from 71% to 97% between land cover classification and reference data was achieved for all tested area and all years. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2016 operational mapping.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, firstname.lastname@example.org if you notice any errors which make this publication unusable.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationYang, Limin; Jin, Suming; Danielson, Patrick; Homer, Collin; Gass, Leila; Bender, Stacie M.; Case, Adam; Costello, Catherine; Dewitz, Jon; Fry, Joyce; Funk, Michelle; Granneman, Brian; Liknes, Greg C.; Rigge, Matthew; Xian, George. 2018. A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies. ISPRS Journal of Photogrammetry and Remote Sensing. 146: 108-123. https://doi.org/10.1016/j.isprsjprs.2018.09.006.
KeywordsUnited States National Land Cover Database 2016, Multi-temporal land cover and change Methodology, Implementation strategies
- Evaluating the national land cover database tree canopy and impervious cover estimates across the conterminous United States: a comparison with photo-interpreted estimates
- Quality control and assessment of interpreter consistency of annual land cover reference data in an operational national monitoring program
- Evaluation of the National Land Database for Hydrologic Applications in Urban And Suburban Baltimore, Maryland
XML: View XML