This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the Northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the Southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. In areas of the county (central U.S., Northeast) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. In 2009 Landfire data was combined by the Landscope project into one uniform coverage. This compiled data was the data pulled into this project. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003). Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The digital land cover dataset may be used for various purposes with user's discretion. Specifically, this dataset was created for regional terrestrial biodiversity assessment. These data are not intended to be used at scales larger than 1:100,000.

The Atlas of Canada's Web Mapping Service (WMS) is an Internet-based service designed to provide developers of on-line mapping tools access to the Atlas of Canada's Framework Data Sets. By using this service, developers gain access to our most current and accurate base data for rendering customized maps. Our OGC-compliant WMS technology will be provided free of charge and does not require a contract, license agreement or any special software systems - only a web browser such as Internet Explorer or Firefox. This WMS provides access to five different Framework Data Sets (world, North ciccumpolar region, North America, Canada 7.5 million, and Canada 1 million). Each Framework Data sets provides is a set of integrated base map layers depicting the locations of features such as hydrology, roads, railways, populated places and administrative boundaries. A number of non-standard projections are available via this WMS. They are: 54003 - World Miller Cylindrical, 54004 - World Mercator, 54008 - World Sinusoidal, 54009 - World Mollweide, 54030 - World Robinson, 102016 - North Pole Azimuthal Equidistant, 102017 - North Pole Lambert Azimuthal Equal Area, 102018 - North Pole Stereographic, 102008 - North America Albers Equal Area Conic, and 102009 - North America Lambert Conformal Conic.

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