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. Color infrared, stereo pair 1:6,000 scale aerial photography of Valley Forge National Historical Park was acquired from an overflight on September 12, 1999, during leaf-on conditions, by Air Photographics, Inc. The photography was delivered to the National Park Service (NPS) and then forwarded to North Carolina State University where the digital orthophoto mosaic was produced.

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 color infrared 1:8,000 scale (1 inch = 666.7 feet) aerial photography for a digital orthophoto mosaic of ROVA; however, the photography was incomplete in that it only covered Vanderbilt Mansion NHS. The following spring (May 12, 2004) during leaf-on conditions, Mr. Frament acquired a complete set of aerial photography for the four properties that currently comprise ROVA (including RFF). The mosaic was produced from 47 color infrared aerial photographs and published on September 24, 2004.

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 color infrared 1:8,000 scale (1 inch = 666.7 feet) aerial photography for a digital orthophoto mosaic of ROVA; however, the photography was incomplete in that it only covered Vanderbilt Mansion NHS. The following spring (May 12, 2004) during leaf-on conditions, Mr. Frament acquired a complete set of aerial photography for the four properties that currently comprise ROVA (including RFF). The mosaic was produced from 47 color infrared aerial photographs and published on September 24, 2004.

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. A total of 44 map classes were developed to map the vegetation and general land cover of CUVA, including the following: 29 map classes represent natural/semi-natural vegetation types in the NVCS, 12 map classes represent cultural vegetation (agricultural and developed) in the NVCS, and 3 map classes represent non-vegetation features (open-water bodies). Features were interpreted from viewing color-infrared digital aerial imagery dated October 2010 (during peak leaf-phenology change of trees) via digital onscreen three-dimensional stereoscopic workflow systems in geographic information systems (GIS). The interpreted data were digitally and spatially referenced, thus making the spatial database layers usable in GIS. Polygon units were mapped to either a 0.5 ha or 0.25 ha minimum mapping unit, depending on vegetation type.

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. A total of 44 map classes were developed to map the vegetation and general land cover of CUVA, including the following: 29 map classes represent natural/semi-natural vegetation types in the NVCS, 12 map classes represent cultural vegetation (agricultural and developed) in the NVCS, and 3 map classes represent non-vegetation features (open-water bodies). Features were interpreted from viewing color-infrared digital aerial imagery dated October 2010 (during peak leaf-phenology change of trees) via digital onscreen three-dimensional stereoscopic workflow systems in geographic information systems (GIS). The interpreted data were digitally and spatially referenced, thus making the spatial database layers usable in GIS. Polygon units were mapped to either a 0.5 ha or 0.25 ha minimum mapping unit, depending on vegetation type.

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.

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.

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. The initial base map layers were developed using the 2 m resolution color aerial orthophotos, since they had the highest spatial resolution. The regions were designed on their shared physiography: Eastside, Westside, Riverside, USFS, and Tsankawi sub-units. The vegetation map was developed using a combination of automated digital processing (supervised classifications and image segmentation) and direct image interpretation of high-resolution color and color infrared aerial orthophotography in combination with satellite imagery (Landsat Thematic Mapper).

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. The initial base map layers were developed using the 2 m resolution color aerial orthophotos, since they had the highest spatial resolution. The regions were designed on their shared physiography: Eastside, Westside, Riverside, USFS, and Tsankawi sub-units. The vegetation map was developed using a combination of automated digital processing (supervised classifications and image segmentation) and direct image interpretation of high-resolution color and color infrared aerial orthophotography in combination with satellite imagery (Landsat Thematic Mapper).

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. NISI Photo dates: 10/24/2000, Scale: 1:12000, size: 948ac The CIR aerial photographs in transparency format were scanned at 600 dpi (42 μm) using an Epson Expression 10000XL flatbed scanner.