Washington State Geospatial PortalStatewide Ecopia 3 foot Land Cover (2021-2022) This raster land cover data is based off of high-resolution statewide imagery from 2021-2022. It was used by Ecopia to extract and digitize the entire state into 7 different land cover classes. Download Notes: This service can be entered into ArcGIS Pro where "Download Rasters" can be used to download approximately 20 square miles at a time. (Rt. click layer in TOC > Data > Download Rasters) Alternatively, the entire statewide 3ft dataset is available as a zipped download from here (includes colormap file): Ecopia_Statewide_3ft_Raster_Tiles Classes available at bottom of this pages. Data Specification Imagery Used for Extraction: Pixel resolution: 15 cm (6") Camera sensor: Hexagon Pushbroom (Content Mapper) Date of capture: 06/25/2021 - 08/14/2022 Date of Vector Extraction: June 2023 Extraction Methodology: Ecopia uses proprietary extraction and modeling software to process raw images into high-resolution land cover classifications. Quality Measurements: Measure Name - Threshold across Impervious Polygons: False Negatives <= 5% All Polygons False Positives <= 5% All Polygons Valid Interpretation >= 95% All Polygons Minimum Area 100% All Polygons Valid Geometry 100% All Polygons Measure Name - Threshold across Natural Polygons: False Negatives <=5% All Polygons False Positives <=5% All Polygons Valid Interpretation >=90% All Polygons Minimum Area 100% All Polygons Valid Geometry 100% All Polygons Land Cover Classes: Unclassified Impervious Impervious, covered by trees Shrub/low vegetation Tree/forest/high vegetation Open water Railroad Vegetation (Canopy Mapping) Tree canopy will be captured as a unique polygon layer. It can therefore overlap impervious layers. High vegetation is distinguished from low vegetation based on crown, texture, and derived height models. Leveraging stereo imagery produces results using 3D elevation models used to aid the distinction of vegetation categories. Distinguishing low from high vegetation is based on a 5m threshold, but this is not always feasible, especially in areas where heavy canopy prevents a visualization of the ground. In these circumstances, high vegetation will be given the priority over low vegetation. For more information visit: www.ecopiatech.com Classes: 0: No data - Null, clear 1: Unclassified 2: Impervious 3: Impervious, Covered by Tree Canopy 6: Shrub/Low Vegetation 7: Tree/Forest/High Vegetation 8: Open Water 12: RailroadArcGIS ImageMapLayerhttps://hub.arcgis.com/datasets/fc19471352fb4a6195715cf5a7f40a0aengState of Washington Geospatial Open Data PortalPublicLand Cover Statewide Ecopia Data 2021 2022 3ft Raster [Washington (State)]Web servicesWashington (State)2021