The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for Allegheny Portage Railroad National Historic Site. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the Allegheny Portage Railroad National Historic Site. Orthophotos, raw imagery, and scanned aerial photos are common files held here.

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. A map showing the locations of vegetation associations in the park was created, following the NVIP protocols. Digital geospatial databases were created for the ROVA project in its entirety. In early spring 2006, following the vegetation classification plot data analysis, the 2003 preliminary vegetation map of the Home of Franklin D. Roosevelt NHS (excluding Roosevelt Farm and Forest), Val-Kill, and Vanderbilt Mansion NHS was edited and refined to produce a revised vegetation map prior to thematic accuracy assessment (AA). In addition, in early spring of 2008, the 2007 Roosevelt Farm and Forest preliminary vegetation map was edited and refined to produce a revised vegetation map prior to AA. Using ArcMap 9.2 (ESRI 1999-2006), both preliminary maps were revised by editing polygon boundaries on-screen based on the classification plot data, field observations, classification analyses, aerial photography signatures, and topographic maps.

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. A map showing the locations of vegetation associations in the park was created, following the NVIP protocols. Digital geospatial databases were created for the ROVA project in its entirety. In early spring 2006, following the vegetation classification plot data analysis, the 2003 preliminary vegetation map of the Home of Franklin D. Roosevelt NHS (excluding Roosevelt Farm and Forest), Val-Kill, and Vanderbilt Mansion NHS was edited and refined to produce a revised vegetation map prior to thematic accuracy assessment (AA). In addition, in early spring of 2008, the 2007 Roosevelt Farm and Forest preliminary vegetation map was edited and refined to produce a revised vegetation map prior to AA. Using ArcMap 9.2 (ESRI 1999-2006), both preliminary maps were revised by editing polygon boundaries on-screen based on the classification plot data, field observations, classification analyses, aerial photography signatures, and topographic maps.

These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Allegheny Portage Railroad National Historic Site. 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 Allegheny Portage Railroad National Historic Site. 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.

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.

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. Several imagery sources were used to derive the vegetation map, primarily Light Imaging and Detection Radar (LiDAR) and aerial imagery from the National Agriculture Imagery Program. The eCognition software package and Berkley Imaging Segmentation was used to create the initial image segments and polygon map. The mean values of variable inputs were summarized for each of the training data polygons and were used to generate a predictive non-parametric model using RandomForest in the statistical program R. The model was then applied to all polygons. The resulting draft map was reviewed by experts familiar with the vegetation types of the area. The final map includes 24 classes, representing 3 land cover types and 21 alliance-based map classes. A field-based, blind random sample accuracy assessment of the map was carried out in mid-August 2011 and December 2011. A total of 175 accuracy assessment points were collected. Based on the assessment, the total map accuracy was 88.9%, exceeding the program standard of 80%.

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. Several imagery sources were used to derive the vegetation map, primarily Light Imaging and Detection Radar (LiDAR) and aerial imagery from the National Agriculture Imagery Program. The eCognition software package and Berkley Imaging Segmentation was used to create the initial image segments and polygon map. The mean values of variable inputs were summarized for each of the training data polygons and were used to generate a predictive non-parametric model using RandomForest in the statistical program R. The model was then applied to all polygons. The resulting draft map was reviewed by experts familiar with the vegetation types of the area. The final map includes 24 classes, representing 3 land cover types and 21 alliance-based map classes. A field-based, blind random sample accuracy assessment of the map was carried out in mid-August 2011 and December 2011. A total of 175 accuracy assessment points were collected. Based on the assessment, the total map accuracy was 88.9%, exceeding the program standard of 80%.