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 the vegetation data analysis, the vegetation cover-type map was edited and refined to develop a preliminary association-level vegetation map. Using ArcView 3.2, polygon boundaries were revised onscreen based on the plot data, field observations, classification analyses, aerial photography signatures, and topographic maps. Each polygon was assigned the name of a preliminary vegetation association based on the five information sources listed above. A mirror stereoscope type F-71 and a Bausch and Lomb zoom stereoscope were used to interpret the aerial photography signatures. The field-collected “true” or “reference” GPS coordinates for the remaining 41 points were compared to the coordinates obtained from the mosaic viewed in ArcMap.

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. Based on the plot sampling data and the classification of 43 vegetation associations, the vegetation cover type map was revised to correct errors and create more accurate vegetation polygon boundaries at the USNVC association level. In this iteration, plot data, field observations, classification analyses, aerial photography signatures, and topographic maps were used to revise polygon boundaries and attributes. Thematic accuracy of this preliminary vegetation association map was then assessed. Based on accuracy assessment sampling data, the association map was revised again to correct errors and create the final vegetation association polygon boundaries. In this final revision, accuracy assessment data were used in addition to the resources noted above to revise polygon boundaries and attributes.

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. Based on the plot sampling data and the classification of 43 vegetation associations, the vegetation cover type map was revised to correct errors and create more accurate vegetation polygon boundaries at the USNVC association level. In this iteration, plot data, field observations, classification analyses, aerial photography signatures, and topographic maps were used to revise polygon boundaries and attributes. Thematic accuracy of this preliminary vegetation association map was then assessed. Based on accuracy assessment sampling data, the association map was revised again to correct errors and create the final vegetation association polygon boundaries. In this final revision, accuracy assessment data were used in addition to the resources noted above to revise polygon boundaries and attributes.

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 1:12,000 scale aerial photography for a digital orthophoto mosaic of Delaware Water Gap National Recreation Area was acquired from overflights on March 28, April 7, and April 11, 2002, during leaf-off conditions, by Kucera International. The photography, a total of 1,047 air photos that cover the park as well as a relatively large buffer area outside the park, was delivered to the National Park Service, quality checked, accepted as provided, and sent to North Carolina State University.

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 digital vegetation map for GARI was developed as a personal geodatabase using Environmental Systems Research Institute (ESRI) ArcGIS software. The geodatabase includes a point feature class for locations of plots and two polygon-feature classes (clipped by the park boundary and unclipped) for vegetation, including non-vegetated land cover. The vegetation map includes 31 map classes. Upland communities comprise about 86% of the park area and are represented by 13 map classes. Two upland map classes each include patches of two associations, all others represent single associations.

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 digital vegetation map for GARI was developed as a personal geodatabase using Environmental Systems Research Institute (ESRI) ArcGIS software. The geodatabase includes a point feature class for locations of plots and two polygon-feature classes (clipped by the park boundary and unclipped) for vegetation, including non-vegetated land cover. The vegetation map includes 31 map classes. Upland communities comprise about 86% of the park area and are represented by 13 map classes. Two upland map classes each include patches of two associations, all others represent single associations.

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. All of the interpreted and remotely sensed data were converted to Geographic Information System (GIS) databases using ArcMap© software and are included in a comprehensive geodatabase. Draft maps created from the vegetation classification were field-tested and revised before independent ecologists conducted an assessment of the map’s accuracy during 2014.

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. All of the interpreted and remotely sensed data were converted to Geographic Information System (GIS) databases using ArcMap© software and are included in a comprehensive geodatabase. Draft maps created from the vegetation classification were field-tested and revised before independent ecologists conducted an assessment of the map’s accuracy during 2014.

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. Mapping began in earnest in 2007 by re-sampling the 2002 imagery to a 3-meter pixel resolution and then segmenting it using eCognition software. Initial segments were created to delineate obvious landforms (e.g. open water and fields) and physiognomic features (e.g. grasslands versus woodlands). Following segmentation, the lines were exported as ArcInfo shapefiles and converted to ArcInfo coverages. The resulting coverages were run through a series of smoothing routines until no obvious artificial or relict breaks in the lines were visible. Following smoothing, the line-work was manually cleaned to remove extraneous lines, small polygons, and polygons that obviously split a homogenous stand of vegetation.

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. Mapping began in earnest in 2007 by re-sampling the 2002 imagery to a 3-meter pixel resolution and then segmenting it using eCognition software. Initial segments were created to delineate obvious landforms (e.g. open water and fields) and physiognomic features (e.g. grasslands versus woodlands). Following segmentation, the lines were exported as ArcInfo shapefiles and converted to ArcInfo coverages. The resulting coverages were run through a series of smoothing routines until no obvious artificial or relict breaks in the lines were visible. Following smoothing, the line-work was manually cleaned to remove extraneous lines, small polygons, and polygons that obviously split a homogenous stand of vegetation.