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. Two digital orthophoto mosaics, leaf-off (spring) and leaf-on (fall), were created for Thomas Stone National Historic Site. Kucera International acquired color infrared, stereo pair 1:6,000 scale aerial photography for the leaf-off mosaic on February 18, 2002, and for the leaf-on mosaic on November 8, 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. 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. 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. The mapping component was initiated by photo interpretation and digitization of 3-band 2001 color infrared (CIR) IKONOS imagery for the vegetation and land use classes determined through the field visit and expert knowledge of project team members. The heads-up digitization was performed at a display scale of 1:1000 to 1:1500. The digitization, evaluation, and modifications were iterative and collaborative processes involving the GIS analysts and the rest of the team. Preliminary maps were checked, corrected, and rechecked for boundary delineations. Final edits were made using the 2009 NAIP imagery, which captured the changes made along the eastern end of the property with the construction of the visitor’s center.

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 mapping component was initiated by photo interpretation and digitization of 3-band 2001 color infrared (CIR) IKONOS imagery for the vegetation and land use classes determined through the field visit and expert knowledge of project team members. The heads-up digitization was performed at a display scale of 1:1000 to 1:1500. The digitization, evaluation, and modifications were iterative and collaborative processes involving the GIS analysts and the rest of the team. Preliminary maps were checked, corrected, and rechecked for boundary delineations. Final edits were made using the 2009 NAIP imagery, which captured the changes made along the eastern end of the property with the construction of the visitor’s center.

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.

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.

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).