The EnviroAtlas Portland, OR Meter-Scale Urban Land Cover (MULC) dataset includes data for the Portland metropolitan area plus the city of Vancouver, Washington and various smaller towns and rural areas in Oregon and Washington. The total area classified was approximately 2160 square kilometers. The land cover data were generated from 1-m, four-band (red, green, blue, and near-infrared) aerial photography acquired from the United States Department of Agriculture's National Agriculture Imagery Program. Imagery for Oregon was collected in 2012, and imagery for Washington was collected in 2011. In addition, ancillary datasets were derived for the classification from two LiDAR datasets collected in 2007 and one LiDAR dataset collected in 2010. Eight land cover classes were mapped: water, impervious surfaces, soil and barren land, trees and forest, grass and herbaceous non-woody vegetation, agriculture, and wetlands (both woody and emergent). An accuracy assessment using 600 completely random and 54 stratified random land cover reference points yielded an overall accuracy of 78.6%. Using a liberal interpretation with similar classes (e.g. soil / grass, soil / agriculture) the overall fuzzy accuracy is 91.4%. For more information on fuzzy accuracy assessment see the overview section. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).