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Thirty years of the U.S. National Land Cover Database: Impacts and future direction

October 1, 2025

The National Land Cover Database (NLCD), developed through the Multi-Resolution Land Characteristics Consortium, was initiated 30 years ago and has continually provided critical, Landsat-based landcover and land-change information for the United States. Originally launched to address the lack of national-scale, moderate-resolution land-cover data, NLCD has evolved from the pioneering 1992 dataset into a comprehensive, annually updated product suite. Key innovations include the introduction of impervious surface mapping, forest canopy mapping, standardized Landsat mosaics, national-scale accuracy assessments, continual evolution of deep learning and artificial intelligence methodologies, and a transition toward operational, change-focused monitoring. The NLCD has become an essential resource for scientific research, land management, and policy development, with extensive adoption across federal, state, and local agencies; academia; and the private sector. The NLCD data underpin a wide array of applications, including biodiversity conservation, urban planning, hydrology, human health studies, and natural hazard assessment. As new global and high-resolution commercial land-cover products emerge, the NLCD continues to distinguish itself through its temporal depth, federal backing, and thematic consistency. Moving forward, the NLCD will maintain its niche as the leading, moderate-resolution, long-term land-cover and land-change dataset for the United States, ensuring continued support for broad national applications while complementing higher-resolution and global-mapping efforts.

Publication Year 2025
Title Thirty years of the U.S. National Land Cover Database: Impacts and future direction
DOI 10.14358/PERS.25-00121R2
Authors Terry L. Sohl, Suming Jin, Jon Dewitz, James Wickham, Jesslyn F. Brown, Stephen Stehman, Nathaniel Herold, Karen Schleeweis, Heather J. Tollerud, Carol Deering
Publication Type Article
Publication Subtype Journal Article
Series Title Photogrammetric Engineering & Remote Sensing
Index ID 70274252
Record Source USGS Publications Warehouse
USGS Organization Earth Resources Observation and Science (EROS) Center
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