These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Denali National Park and Preserve. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.

These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Denali National Park and Preserve. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.

These ESRI shape files are of National Park Service tract and boundary data that were created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.

30 meter pixel grid data set with 1302 grid values and associated land cover attributes representing the land cover classes mapped during the KATM Land Cover Mapping Project (2000-2002)

Single National Park vegetation mapping was undertaken by Dr Peter Clark, Dr Lachlan Copeland and Natasha Noble in 2000 by contract for the NPWS Northern Tableland Region. Single National Park is located on the western edge of Guyra Plateau, 18km east of Tingha and 60km north of Armidale. Maps of veg structure were initially prepared at 1:25,000 scale based on photo pattern interpretation colour aerial photographs. VIS_ID 4755

Landcover classes and ecological systems were delineated at an eight ha minimum mapping unit on 1:36,000 and 1:40,000 2004 and 2005 color infrared air photos using a stereoscope. The ecological systems correlate directly with aggregated or single landcover classes. See associated technical report NPS/KEFJ/NRTR—2008/136 for details.

The land cover grid data set is based on a supervised multi-spectral image analysis of Landsat TM5 and TM7 data, supported by field data, modeling, review of aerial photography, interim product review/feedback from NPS, and review/analysis of the other data layers included in the ArcView 9.1 WRST Land Cover Mapping Project. 28.5 meter pixel grid data set with 10062 grid values and associated land cover attributes representing the land cover classes mapped during the WRST Land Cover Mapping Project (2004-2007) completed by Geographic Resource Solutions and ABR Inc under contract with the National Park Service Alaska Regional Office (NPS-AKRO) as part of NPS's Land Cover Mapping Program.

This grid was derived by ABR Inc. from the satellite imagery classification done by Geographic Resource Solutions to developed a Vegetation Structure map for Wrangell - St. Elias correlated to classes of The Alaska Vegetation Classification (Viereck et al). Field observations, aerial photography, and other GIS data were used to refine the map.

These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Grand Canyon National Park, Parashant National Monument. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here. Several imagery datasets were available for the mapping project. Table 7 lists the types of imagery used in the LEWI mapping project, including the date the imagery was produced and the source of the data. Landsat satellite imagery was acquired from GLOVIS (http://glovis.usgs.gov/). SPOT 4 imagery was downloaded from EarthExplorer (http://edcsns17.cr.usgs.gov/NewEarthExplorer/). Landsat imagery at 30 m resolution consists of 7 bands: 3 visible, 2 mid-infrared, 1 shortwave infrared and 1 thermal band. SPOT 4 imagery consists of 4 bands: 2 visible (10m), 1 shortwave infrared (10m), and 1 mid-infrared (20 m). Imagery used was from the summer 2008 (Landsat) and late fall 2010 (SPOT 4) to provide a phenological contrast useful in differentiating vegetation types. Every homogeneous vegetation type has a unique reflectance which is referred to as a signature. This unique signature is often more apparent and distinct in the infrared wavelengths outside of the human eye visible spectrum, enabling a remote sensing expert to use these unique satellite signature snapshots in time to differentiate various vegetation types.