Assessing the Accuracy of National Land Cover Dataset Area Estimates at Multiple Spatial Extents
Date of Original Version
Natural Resources Science
Site-specific accuracy assessments evaluate fine-scale accuracy of land-use/land-cover (LULC) datasets but provide little insight into accuracy of area estimates of LULC classes derived from sampling units of varying size. Additionally, accuracy of landscape structure metrics calculated from area estimates cannot be determined solely from site-specific assessments. We used LULC data from Rhode Island and Massachusetts as reference to determine the accuracy of area measurements from the National Land Cover Dataset (NLCD) within spatial units ranging from 0.1 to 200 km2. When regressed on reference area, NLCD area of developed land, agriculture, forest, and water had positive linear relationships with high r2, suggesting acceptable accuracy. However, many of these classes also displayed mean differences (NLCD REFERENCE), and linear relationships between the NLCD and reference were not one-to-one (i.e., low r2, β0 ≠ 0, β1 ≠ 1), suggesting mapped area is different from true area. Rangeland, wetland, and barren were consistently, poorly classified.
Publication Title, e.g., Journal
Photogrammetric Engineering & Remote Sensing
Hollister, J. W., Gonzalez, M. L., Paul, J. F., August, P. V., & Copeland, J. L. (2004). Assessing the Accuracy of National Land Cover Dataset Area Estimates at Multiple Spatial Extents. Photogrammetric Engineering & Remote Sensing, 4, 405-414. https://doi.org/10.14358/PERS.70.4.405
Available at: https://doi.org/10.14358/PERS.70.4.405
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Jeffrey W. Hollister and Paul V. August are affiliated with the Department of Natural Resources Science.
M. Liliana Gonzalez is affiliated with the Department of Computer Science and Statistics.