The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. We followed methods in Anderson and Merrill (1998) for combining gradient layers into an “ecological land units” map (also referred to as a “biophysical units” map). Our goal was to use this information to create sampling strata that capture the range of environments observed. The Anderson and Merrill (1998) method (implemented as a set of GIS scripts by F. Biasi (2001)) builds an ecological units map by classifying and combining individual environmental gradient maps in a GIS. Maps of aspect, moisture, slope, and slope shape are reclassified and assembled to produce maps of landform units. These landform units are then combined with reclassified elevation and geologic maps to produce a final ecological land units or “ELU” map. We used these methods as a guide to building an ecological land units map for Shenandoah National Park, adapting the procedures for local conditions. Individual steps in the process and maps resulting from intermediate and final stages are described in the report.

These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Zion National Park. 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 Zion National Park. 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 Theodore Roosevelt National Park. 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 Theodore Roosevelt National Park. 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. Hyperspectral images from NASA’s AVIRIS platform were acquired for this research. Two high altitude AVIRIS images were collected from NASA ER-2 aircraft, one on 14 May 2000 and another on 13 July 2001. High altitude AVIRIS pixels have approximately 17 m spatial resolution and 224 bands at 10 nm intervals between 400-2500 nm. In addition to hyperspectral imagery, a time-series of Landsat TM images from five dates was also used to test the ability of multi-temporal Landsat data to map forest associations. The results of this analysis would be used to fill in small portions of Shenandoah National Park that were not covered by AVIRIS image data. The time-series included three early spring images: 12 April 1984, 26 May 2000, and 24 May 2002, and two early fall images: 19 September 1984 and 5 September 2002.

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. Hyperspectral images from NASA’s AVIRIS platform were acquired for this research. Two high altitude AVIRIS images were collected from NASA ER-2 aircraft, one on 14 May 2000 and another on 13 July 2001. High altitude AVIRIS pixels have approximately 17 m spatial resolution and 224 bands at 10 nm intervals between 400-2500 nm. In addition to hyperspectral imagery, a time-series of Landsat TM images from five dates was also used to test the ability of multi-temporal Landsat data to map forest associations. The results of this analysis would be used to fill in small portions of Shenandoah National Park that were not covered by AVIRIS image data. The time-series included three early spring images: 12 April 1984, 26 May 2000, and 24 May 2002, and two early fall images: 19 September 1984 and 5 September 2002.

These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Gateway National Recreation Area. 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 Gateway National Recreation Area. 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 Chickasaw National Recreation Area. 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.