Thirty Years of the U.S. National Land Cover Database: Impacts and Future Direction

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.

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Publication Details

Journal
Photogrammetric Engineering & Remote Sensing
Published
2025-08-28
DOI
https://doi.org/10.14358/pers.25-00121r2
Citations
4
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
4.42
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article

Thirty Years of the U.S. National Land Cover Database: Impacts and Future Direction

Stephen V. Stehman, Terry L. Sohl, Jesslyn F. Brown, James Wickham et al.
4 citations
Photogrammetric Engineering & Remote Sensing
Land Use and Ecosystem Services
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article

Thirty Years of the U.S. National Land Cover Database: Impacts and Future Direction

Stephen V. Stehman, Terry L. Sohl, Jesslyn F. Brown, James Wickham, Carol Deering, H. Tollerud, Karen Schleeweis, Jon Dewitz, Nathaniel D. Herold, Suming Jin
article en
4 citations

Abstract

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.

Photogrammetric Engineering & Remote SensingVol. 91(10)
United States Geological Survey (US), Environmental Protection Agency (US), US Forest Service (US), KBR (United States) (US), SUNY College of Environmental Science and Forestry (US), Rocky Mountain Research Station (US), Rocky Mountain Research (United States) (US), Environmental Protection Agency (IE), NOAA Office for Coastal Management (US), Earth Resources Observation and Science Center
Openalex Percentile: Top 5%
Land Use and Ecosystem Services
4.42
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