An existing vegetation map was prepared in a collaborative effort between the Tongass National Forest, Alaska Region, and the Geospatial Technology and Applications Center (GTAC). This map was designed to be consistent with the standards established in the Existing Vegetation Classification and Technical Guide (Nelson et al. 2015), and to provide baseline information to support project planning and inform land management of the Prince of Wales and surrounding islands. The final map comprises ten distinct, integrated feature layers: 1) vegetation type; 2) tree canopy cover; 3) trees per acre (TPA) for trees ≥ 1’ tall; 4) trees per acre for trees ≥ 6” diameter at breast height (dbh); 5) quadratic mean diameter (QMD) for trees ≥ 2” dbh; 6) quadratic mean diameter for trees ≥ 9” dbh; 7) thematic tree size; 8) biomass for trees ≥ 2” dbh; 9) gross board feet (GBF) for trees ≥ 9” dbh; and 10) stand density index (SDI) for trees ≥ 9” dbh. The dominance type map consists of 18 classes, including 15 vegetation classes and 3 other land cover types. Continuous tree canopy cover, TPA, QMD, thematic tree size, biomass, GBF, and SDI was developed for areas classified as foreston the final vegetation type map layer. Geospatial data, including remotely sensed imagery, topographic data, and climate information, were assembled to classify vegetation and produce the maps. A semi-automated image segmentation process was used to develop the modeling units (mapping polygons), which delineate homogeneous areas of land cover. Field plots containing thematic vegetation type and tree size information were used as reference for random forest prediction models. Important model drivers included 30 cm orthoimagery collected during the height of the 2019 growing season, in addition to Sentinel 2 and Landsat 8 satellite imagery, for vegetation type prediction. Additionally, detailed tree inventory data were collected at precise field locations to develop forest metrics for Quality Level 1 (QL1) Light Detection and Ranging (LiDAR) data. LiDAR information was acquired across approximately 80% of the project’s land area. Continuous tree canopy cover and 2nd order forest metrics (TPA, QMD, biomass, GBF, and SDI) were modeled across the LiDAR coverage area, and subsequently, extrapolated to the full project extent using Interferometric Synthetic Aperture Radar (IfSAR) as the primary topographic data source. Additionally, mean canopy height (meters) was calculated for segments within the LiDAR data extent. The mapping process utilized various Forest Service Enterprise software, adopting the most contemporary methods and technology. Most of the reference information was collected during the 2018 growing season, however the high resolution orthoimagery acquired during the summer of 2019 was considered the standard by which modeling results were evaluated, and therefore, the final map can be considered indicative of the existing vegetation conditions found on the Prince of and surrounding islands at that time. Once the final maps were produced, an accuracy assessment was conducted to reveal individual class confusion and provide additional insight into the reliability of the final maps for resource applications.