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Thematic accuracy assessment of the NLCD 2019 land cover for the conterminous United States
Citation:
Wickham, J., S. Stehman, D. Sorenson, L. Gass, AND J. Dewitz. Thematic accuracy assessment of the NLCD 2019 land cover for the conterminous United States. GIScience and Remote Sensing. Taylor & Francis Group, London, Uk, 60(1):2181143, (2023). https://doi.org/10.1080/15481603.2023.2181143
Impact/Purpose:
Documents data quality of one of the most widely used datasets by EPA
Description:
The National Land Cover Database (NLCD), a product suite produced through the MultiResolution Land Characteristics (MRLC) consortium, is an operational land cover monitoring program. Starting from a base year of 2001, NLCD releases a land cover database every 2-3-years. The recent release of NLCD2019 extends the database to 18 years. We implemented a stratified random sample to collect land cover reference data for the 2016 and 2019 components of the NLCD2019 database at Level II and Level I of the classification hierarchy. For both dates, Level II land cover overall accuracies (OA) were 77.5% ± 1% (± value is the standard error) when agreement was defined as a match between the map label and primary reference label only, and increased to 87.1% ± 0.7% when agreement included a match between the map label and either the primary or alternate reference label. At Level I of the classification hierarchy, land cover OA was 83.1% ± 0.9% for both nominal dates when agreement was defined as a match between the map label and primary reference label only, and increased to 90.3% ± 0.7% when agreement also included the alternate reference label. The Level II and Level I OA for the 2016 land cover in the NLCD2019 database were 5% higher comparted to the 2016 land cover component of the NLCD2016 database when agreement was defined as a match between the map label and primary reference label only. No improvement was realized when agreement also included the alternate reference label. User’s accuracies (UA) for forest loss and grass gain were > 70% when agreement was defined as a match between the map label and either the primary or alternate label and generally < 50% for all other change themes. Producer’s accuracies (PA) were > 70% for grass loss and gain and water gain and generally < 50% for the other change themes. We conducted a post-analysis review for map-reference agreement to identify patterns of disagreement, and these findings are discussed in the context of potential adjustments to mapping and reference data collection procedures that may lead to improved map accuracy going forward.
URLs/Downloads:
DOI: Thematic accuracy assessment of the NLCD 2019 land cover for the conterminous United States