<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Suming Jin</dc:contributor>
  <dc:contributor>Jon Dewitz</dc:contributor>
  <dc:contributor>James Wickham</dc:contributor>
  <dc:contributor>Jesslyn F. Brown</dc:contributor>
  <dc:contributor>Stephen Stehman</dc:contributor>
  <dc:contributor>Nathaniel Herold</dc:contributor>
  <dc:contributor>Karen Schleeweis</dc:contributor>
  <dc:contributor>Heather J. Tollerud</dc:contributor>
  <dc:contributor>Carol Deering</dc:contributor>
  <dc:creator>Terry L. Sohl</dc:creator>
  <dc:date>2025</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;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.&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.14358/PERS.25-00121R2</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Ingenta</dc:publisher>
  <dc:title>Thirty years of the U.S. National Land Cover Database: Impacts and future direction</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>