These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Guilford Courthouse National Military 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.

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. In 2002, we returned to Guilford Courthouse National Military Park to follow-up on the first three goals and to cooperate with the University of Georgia Center for Remote Sensing and Mapping Science on their project to map all vegetation communities in the park. We supplied the University of Georgia team with all plot data already collected and a dichotomous key to the communities of the park and we walked throughout the park to help them identify unique mapping units. Since photointerpreters rely heavily on canopy species composition, understory species composition, and disturbance to classify polygons and ecologists rely just as heavily on the shrub and herb layer to classify types, the mapping units and the vegetation classification units do not always “crosswalk” (match up) perfectly. The last step of the project (not detailed in this report) will be to work reconcile mapping units with vegetation associations to produce mapping units that match up well with the ecological units of the National Vegetation Classification.

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. In 2002, we returned to Guilford Courthouse National Military Park to follow-up on the first three goals and to cooperate with the University of Georgia Center for Remote Sensing and Mapping Science on their project to map all vegetation communities in the park. We supplied the University of Georgia team with all plot data already collected and a dichotomous key to the communities of the park and we walked throughout the park to help them identify unique mapping units. Since photointerpreters rely heavily on canopy species composition, understory species composition, and disturbance to classify polygons and ecologists rely just as heavily on the shrub and herb layer to classify types, the mapping units and the vegetation classification units do not always “crosswalk” (match up) perfectly. The last step of the project (not detailed in this report) will be to work reconcile mapping units with vegetation associations to produce mapping units that match up well with the ecological units of the National Vegetation Classification.

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. We supplied the University of Georgia team with all plot data already collected and a dichotomous key to the communities of the park and we walked throughout the park to help them identify unique mapping units. Since photointerpreters rely heavily on canopy species composition, understory species composition, and disturbance to classify polygons and ecologists rely just as heavily on the shrub and herb layer to classify types, the mapping units and the vegetation classification units do not always “crosswalk” (match up) perfectly. The last step of the project (not detailed in this report) will be to work reconcile mapping units with vegetation associations to produce mapping units that match up well with the ecological units of the National Vegetation Classification.

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. We supplied the University of Georgia team with all plot data already collected and a dichotomous key to the communities of the park and we walked throughout the park to help them identify unique mapping units. Since photointerpreters rely heavily on canopy species composition, understory species composition, and disturbance to classify polygons and ecologists rely just as heavily on the shrub and herb layer to classify types, the mapping units and the vegetation classification units do not always “crosswalk” (match up) perfectly. The last step of the project (not detailed in this report) will be to work reconcile mapping units with vegetation associations to produce mapping units that match up well with the ecological units of the National Vegetation Classification.

These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Richmond National Battlefield 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 Richmond National Battlefield 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 Vicksburg National Military 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 Vicksburg National Military 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 Chickamauga and Chattanooga National Military 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.