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 vegetation map was created from photographic interpretation of 1996, 1:12,000 scale color infrared aerial photographs (0.5 ha minimum mapping unit). All vegetation and land-use information was then transferred to a GIS database using the latest grayscale USGS digital orthophoto quarter-quads (DOQQs) as the base map and a combination of on-screen digitizing and scanning techniques.

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. Project photography was color-infrared (CIR) stereo-paired diapositives, average scale 1:6,720, flown during September 1995. The project scale was established at 1:6720. The reason for this was the CIR imagery and the orthophotos were not concurrent with one another: the CIR imagery was taken in 1995; the orthophoto was created from imagery taken in 1992.

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. Project photography was color-infrared (CIR) stereo-paired diapositives, average scale 1:6,720, flown during September 1995. The project scale was established at 1:6720. The reason for this was the CIR imagery and the orthophotos were not concurrent with one another: the CIR imagery was taken in 1995; the orthophoto was created from imagery taken in 1992.

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 set of CIR aerial photographs was collected on October 4, 2006. This photo mission was funded by the NPS VIP, and supervised by GLKN staff. This set of photography covered the entire GRPO vegetation mapping project extent at 1:12,000-scale and was the primary imagery used in photointerpretative mapping. In support of mapping from the CIR photos, we used a set of TC aerial photographs (1:8,000-scale) that was collected May 2, 2003, providing deciduous leaf-off viewing of the entire extent. This photo mission was funded by GRPO and supervised by GLKN staff. Having the TC photos gave interpreters a definite advantage in determining evergreen tree and shrub components within forest communities otherwise obscured by deciduous tree canopy on the fall-season CIR photos, thus giving credence to Avery’s statement regarding lack of a single all-purpose film emulsion. To assure stereo viewing and full aerial coverage, aerial photo missions were planned with a 60% forward-lap and 30% side-lap. Contact prints of both CIR and TC photo sets were produced for fieldwork use by mappers and vegetation crews. Diapositives of the CIR photo set were produced for photointerpretative mapping.

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 set of CIR aerial photographs was collected on October 4, 2006. This photo mission was funded by the NPS VIP, and supervised by GLKN staff. This set of photography covered the entire GRPO vegetation mapping project extent at 1:12,000-scale and was the primary imagery used in photointerpretative mapping. In support of mapping from the CIR photos, we used a set of TC aerial photographs (1:8,000-scale) that was collected May 2, 2003, providing deciduous leaf-off viewing of the entire extent. This photo mission was funded by GRPO and supervised by GLKN staff. Having the TC photos gave interpreters a definite advantage in determining evergreen tree and shrub components within forest communities otherwise obscured by deciduous tree canopy on the fall-season CIR photos, thus giving credence to Avery’s statement regarding lack of a single all-purpose film emulsion. To assure stereo viewing and full aerial coverage, aerial photo missions were planned with a 60% forward-lap and 30% side-lap. Contact prints of both CIR and TC photo sets were produced for fieldwork use by mappers and vegetation crews. Diapositives of the CIR photo set were produced for photointerpretative mapping.

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. To produce the spatial database and map layer, 2006, 0.6-meter, 4-band Quickbird satellite imagery (supplemented with 2008 Quickbird imagery) was provided by PACN. By comparing the signatures on the imagery to field and ground data 30 map units (18 vegetated, five barren, and seven land-use / land-cover) were developed and directly crosswalked or matched to their corresponding rUSNVC plant associations. The interpreted and remotely sensed data were converted to Geographic Information System (GIS) databases and maps were printed, field tested, reviewed, and revised. The final map layer was accessed for thematic accuracy by overlaying 90 independent accuracy assessment points. The final overall accuracy of the map layer was determined to be 97% with a Kappa value of 82%.

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. To produce the spatial database and map layer, 2006, 0.6-meter, 4-band Quickbird satellite imagery (supplemented with 2008 Quickbird imagery) was provided by PACN. By comparing the signatures on the imagery to field and ground data 30 map units (18 vegetated, five barren, and seven land-use / land-cover) were developed and directly crosswalked or matched to their corresponding rUSNVC plant associations. The interpreted and remotely sensed data were converted to Geographic Information System (GIS) databases and maps were printed, field tested, reviewed, and revised. The final map layer was accessed for thematic accuracy by overlaying 90 independent accuracy assessment points. The final overall accuracy of the map layer was determined to be 97% with a Kappa value of 82%.

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. Existing sources of imagery were evaluated for vegetation mapping and geodatabase development for BIHO. Among the current sources of imagery were NAIP ortho-photography products from 2009 and 2011. Since the mapping portion of this project was started in 2010, the 2009 1-meter resolution NAIP ortho-photo (Figure 15) was deemed adequate for starting the vegetation mapping.

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).