GAP/LANDFIRE National Terrestrial Ecosystems 2011

• Main Author: U.S. Geological Survey Gap Analysis Program
• Format: Dataset
• Language: unknown
• Published: USGS Science Data Catalog 2016
• Subjects: land cover; vegetation; ecology; wildlife habitat; biota; environment; remote sensing; terrestrial ecosystems; Continental United States; Southeastern United States; Northwestern United States; Central United States; Southwestern United States; Northeastern United States; Alabama; Alaska; Arizona; Arkansas; California; Colorado; Connecticut; Delaware; District of Columbia; Florida; Georgia; Hawaii; Idaho; Illinois; Indiana; Iowa; Kansas; Kentucky; Louisiana; Maine; Maryland; Massachusetts; Michigan; Minnesota; Mississippi; Missouri; Montana; Nebraska; Nevada; New Hampshire; New Jersey; New Mexico; New York; North Carolina; North Dakota; Ohio; Oklahoma; Oregon; Pennsylvania; Rhode Island; South Carolina; South Dakota; Tennessee; Texas; Utah; Vermont; Virginia; Washington; West Virginia; Wisconsin; Wyoming; Landscape Conservation Cooperatives; Appalachian; Desert; Eastern Tallgrass Prairie and Big Rivers; Great Basin; Great Northern; Great Plains; Gulf Coast Prairie; Gulf Coast Plains and Ozarks; North Atlantic; Southern Rockies; Upper Midwest and Great Lakes
• Online Access: https://search.dataone.org/view/a7e6df91-ad85-4b91-aff3-9335faad63b1

The GAP National Terrestrial Ecosystems - Ver 3.0 is a 2011 update of the National Gap Analysis Program Land Cover Data - Version 2.2 for the conterminous U.S. The GAP National Terrestrial Ecosystems - Version 3.0 represents a highly thematically detailed land cover map of the U.S. The map legend includes types described by NatureServe's Ecological Systems Classification (Comer et al. 2002) as well as land use classes described in the National Land Cover Dataset 2011 (Homer et al. 2015). These data cover the entire continental U.S. and are a continuous data layer. These raster data have a 30 m x 30 m cell resolution. GAP used the best information available to create the land cover data; however GAP seeks to improve and update these data as new information becomes available.