Removing rural roads from the National Land Cover Database to create improved urban maps for the United States, 1992-2011

Photogrammetric Engineering and Remote Sensing
By: , and 

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Abstract

Quantifying change in urban land provides important information to create empirical models examining the effects of human land use. Maps of developed land from the National Land Cover Database (NLCD) of the conterminous United States include rural roads in the developed land class and therefore overestimate the amount of urban land. To better map the urban class and understand how urban lands change over time, we removed rural roads and small patches of rural development from the NLCD developed class and created four wall-to-wall maps (1992, 2001, 2006, and 2011) of urban land. Removing rural roads from the NLCD developed class involved a multi-step filtering process, data fusion using geospatial road and developed land data, and manual editing. Reference data classified as urban or not urban from a stratified random sample was used to assess the accuracy of the 2001 and 2006 urban and NLCD maps. The newly created urban maps had higher overall accuracy (98.7 percent) than the NLCD maps (96.2 percent). More importantly, the urban maps resulted in lower commission error of the urban class (23 percent versus 57 percent for the NLCD in 2006) with the trade-off of slightly inflated omission error (20 percent for the urban map, 16 percent for NLCD in 2006). The removal of approximately 230,000 km2 of rural roads from the NLCD developed class resulted in maps that better characterize the urban footprint. These urban maps are more suited to modeling applications and policy decisions that rely on quantitative and spatially explicit information regarding urban lands.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Removing rural roads from the National Land Cover Database to create improved urban maps for the United States, 1992-2011
Series title Photogrammetric Engineering and Remote Sensing
DOI 10.14358/PERS.84.2.101
Volume 84
Issue 2
Year Published 2018
Language English
Publisher American Society for Photogrammetry and Remote Sensing
Contributing office(s) Western Geographic Science Center
Description 9 p.
First page 101
Last page 109
Country United States