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. Following development of vegetation classifications after plot sampling, the preliminary vegetation map was further edited and refined in 2005. Using ArcGIS 9.0, polygon boundaries were revised on-screen based on plot data and additional field observations collected during 2004 field visits. Field notes and limited field mapping supplemented GIS mapping. Each polygon was attributed with a map class name that is the common name of a USNVC association, a park-specific map class name representing a variant of an association, or an Anderson Level II use/land cover map class based on plot data, field observations, aerial photography signatures, and topographic maps. Map units in the 2005 vegetation map were equivalent to the association level with few exceptions. The overall 2005 map accuracy and Kappa index was 76%, which fell below the USGS/NPS vegetation mapping protocol requirement of 80%. Revisions were subsequently made to the 2005 vegetation map to increase the accuracy of the final product. The final 2007 vegetation map accuracy was 85.7% and Kappa index was 84.6%.

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%.

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. 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.

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. To produce the digital map, a combination of 1:12,000-scale color infrared digital ortho-imagery acquired in 2003, 1:12,000-scale true color ortho-rectified imagery acquired in 2005, and all of the GPS referenced ground data were used to interpret the complex patterns of vegetation and land-use. All imagery was acquired from the U.S. Department of Agriculture - Farm Service Agency’s Aerial Photography Field Office and the National Agriculture Imagery Program. In the end, 27 map units (14 vegetated and 13 land-use) were developed and directly cross-walked or matched to corresponding plant associations and land-use classes. All of the interpreted and remotely sensed data were converted to Geographic Information System (GIS) databases using ArcGIS© software. Draft maps were printed, field tested, reviewed, and revised. One hundred and thirty three accuracy assessment (AA) data points were collected in 2006 and used to determine the map’s accuracy. GIS Database 2002-2005: Project Size = 4,600 acres Lyndon B. Johnson National Historical Park = 674 acres Lyndon B. Johnson State Park and Historic Site = 418 acres Base Imagery acquired from the USDA FSA Aerial Photography Field Office acquired through the National Agriculture Imagery Program: 2005 - 1:12,000-scale true color ortho-rectified imagery, compressed county mosaic,2 meter pixel resolution 2003 - 1:12,000-scale color infrared digital ortho-imagery, compressed county mosaic,1 meter pixel resolution 27 Map Classes 14 Vegetated 13 Non-vegetated Minimum Mapping Unit = ½ hectare is the program standard but this was modified at LYJO to ¼ acre. Total Size = 1,080 Polygons Average Polygon Size = 4.3 acres Overall Thematic Accuracy = 92%

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. To produce the digital map, a combination of 1:12,000-scale color infrared digital ortho-imagery acquired in 2003, 1:12,000-scale true color ortho-rectified imagery acquired in 2005, and all of the GPS referenced ground data were used to interpret the complex patterns of vegetation and land-use. All imagery was acquired from the U.S. Department of Agriculture - Farm Service Agency’s Aerial Photography Field Office and the National Agriculture Imagery Program. In the end, 27 map units (14 vegetated and 13 land-use) were developed and directly cross-walked or matched to corresponding plant associations and land-use classes. All of the interpreted and remotely sensed data were converted to Geographic Information System (GIS) databases using ArcGIS© software. Draft maps were printed, field tested, reviewed, and revised. One hundred and thirty three accuracy assessment (AA) data points were collected in 2006 and used to determine the map’s accuracy. GIS Database 2002-2005: Project Size = 4,600 acres Lyndon B. Johnson National Historical Park = 674 acres Lyndon B. Johnson State Park and Historic Site = 418 acres Base Imagery acquired from the USDA FSA Aerial Photography Field Office acquired through the National Agriculture Imagery Program: 2005 - 1:12,000-scale true color ortho-rectified imagery, compressed county mosaic,2 meter pixel resolution 2003 - 1:12,000-scale color infrared digital ortho-imagery, compressed county mosaic,1 meter pixel resolution 27 Map Classes 14 Vegetated 13 Non-vegetated Minimum Mapping Unit = ½ hectare is the program standard but this was modified at LYJO to ¼ acre. Total Size = 1,080 Polygons Average Polygon Size = 4.3 acres Overall Thematic Accuracy = 92%

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. On April 28, 2003, William Frament, USDA Forest Service (Northeastern Area State and Private Forestry, Durham, NH), acquired leaf-off color infrared (CIR), stereo pair 1:8,000 scale aerial photography of Marsh-Billings-Rockefeller National Historical Park. The photography was acquired as part of a larger project flown for several eastern national parks at one time, and thus preceded the vegetation classification and mapping project. The photography was captured in late April when deciduous trees were mostly bare and the ground was generally free of snow. The image type consists of a raster 3-band color image.

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. On April 28, 2003, William Frament, USDA Forest Service (Northeastern Area State and Private Forestry, Durham, NH), acquired leaf-off color infrared (CIR), stereo pair 1:8,000 scale aerial photography of Marsh-Billings-Rockefeller National Historical Park. The photography was acquired as part of a larger project flown for several eastern national parks at one time, and thus preceded the vegetation classification and mapping project. The photography was captured in late April when deciduous trees were mostly bare and the ground was generally free of snow. The image type consists of a raster 3-band color image.