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 and interpretation of JODA involved a five step process including: (1) field reconnaissance, (2) map class development, (3) image processing and interpretation, (4) draft map validation, and (5) spatial database development. Field reconnaissance was initiated by CTI and NMI staff in 2008 to quickly familiarize the mappers with the vegetation patterns and distribution at JODA. As the classification plot data were acquired later in 2008, feedback on the dominant and characteristic plant species was solicited from ORNHIC ecologists. boundary placement and labeling. Field notes were made directly on vegetation map copies and an additional 70 observation points were sampled to support the notations. Confusing sites were visited including the Picture Gorge area where shadows on the NAIP imagery prevented viewing the distribution of vegetation types. Ground data and ground photographs were collected to insure consistent mapping of confusing sites. Upon return to the office, minor updates of the draft vegetation map were completed prior to the AA task.

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. The FOBU vegetation mapping project area was divided into 1,709 polygons. A total of 1,687 map polygons represent 37 natural and semi-natural vegetation map classes. Two land use map classes describe 22 other polygons within the mapping area. Average polygon size across all map classes is 2.0 ha (5.0 acres). Natural and semi-natural vegetation classes cover 6,153 ha (15,205 acres; 98.7% of the project area). Land use polygons, including roads and NPS facilities, total 63.5 ha (156.9 acres; 1.3% of the project area). The most frequent vegetation mapping unit is the Low Sagebrush Shrubland (S-LOWS) with 646 polygons covering 2,161 ha (5,341 acres) or 35% of the project area.

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. The FOBU vegetation mapping project area was divided into 1,709 polygons. A total of 1,687 map polygons represent 37 natural and semi-natural vegetation map classes. Two land use map classes describe 22 other polygons within the mapping area. Average polygon size across all map classes is 2.0 ha (5.0 acres). Natural and semi-natural vegetation classes cover 6,153 ha (15,205 acres; 98.7% of the project area). Land use polygons, including roads and NPS facilities, total 63.5 ha (156.9 acres; 1.3% of the project area). The most frequent vegetation mapping unit is the Low Sagebrush Shrubland (S-LOWS) with 646 polygons covering 2,161 ha (5,341 acres) or 35% of the project area.

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. Since JODA represented a small site, existing sources of imagery were evaluated and the National Aerial Imagery Program (NAIP) products were found to be adequate. Based on the currentness of the 2009 product, this true-color, 1-meter pixel was accepted as the base imagery. The 2005 true-color, 1-meter pixel product was also used as ancillary data.

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 38 map units (21 vegetated and 17 land use) were developed and directly cross-walked or matched to their 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.

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 38 map units (21 vegetated and 17 land use) were developed and directly cross-walked or matched to their 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.

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 formation-level vegetation map was further edited and refined to develop an association-level vegetation map. All classified plot and observation point locations for Thomas Stone National Historic Site were transferred to a project base map, where they facilitated interpretation of orthophoto mosaic images and/or aerial photographs during the mapping phase of this project. Observation points were retrospectively assigned by subjective assignment to the USNVC associations identified during data analysis, or to the additional two small-patch USNVC associations newly classified in this study. For the most part, polygon boundaries were unchanged, but where distinctions noted in the field were not evident on either set of aerial photography, revisions to existing polygons were made based on GPS readings of the observation points. Each polygon containing a plot or observation point was attributed with the name of an association based on classification results. The remaining polygons were assigned to associations based on the previously assigned formation (land use polygons were not altered), as well as the soil map, topographic map, and finer signature distinctions detected on the aerial photography, such as crown shape.

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 formation-level vegetation map was further edited and refined to develop an association-level vegetation map. All classified plot and observation point locations for Thomas Stone National Historic Site were transferred to a project base map, where they facilitated interpretation of orthophoto mosaic images and/or aerial photographs during the mapping phase of this project. Observation points were retrospectively assigned by subjective assignment to the USNVC associations identified during data analysis, or to the additional two small-patch USNVC associations newly classified in this study. For the most part, polygon boundaries were unchanged, but where distinctions noted in the field were not evident on either set of aerial photography, revisions to existing polygons were made based on GPS readings of the observation points. Each polygon containing a plot or observation point was attributed with the name of an association based on classification results. The remaining polygons were assigned to associations based on the previously assigned formation (land use polygons were not altered), as well as the soil map, topographic map, and finer signature distinctions detected on the aerial photography, such as crown shape.

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. For four of the map units – 3-SDF, 4-SDAF, 27-POHV, and 31-LBY – modeling using GIS principles was also employed. Modeling involves using environmental conditions of a map unit, such as elevation, slope, and aspect, which were determined by the field-collected ecological data. Data satisfying these conditions were obtained from ancillary data sources, such as USGS DEM data. These data were fed into a model that will result in locations (pixels) where all the desired conditions exist. For example, if a certain map unit was a shrubland that predominantly occurs above 8000 feet, on slopes of 3-10%, and on west-facing aspects, the correctly-constructed model will output only locations where this combination of conditions will be found. The resulting areas were then examined manually with the traditional photo interpretation process to confirm that they indeed could be accepted as that map unit. If photo interpretation determines that the areas were not acceptable, then they were changed to a more appropriate map unit.

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. For four of the map units – 3-SDF, 4-SDAF, 27-POHV, and 31-LBY – modeling using GIS principles was also employed. Modeling involves using environmental conditions of a map unit, such as elevation, slope, and aspect, which were determined by the field-collected ecological data. Data satisfying these conditions were obtained from ancillary data sources, such as USGS DEM data. These data were fed into a model that will result in locations (pixels) where all the desired conditions exist. For example, if a certain map unit was a shrubland that predominantly occurs above 8000 feet, on slopes of 3-10%, and on west-facing aspects, the correctly-constructed model will output only locations where this combination of conditions will be found. The resulting areas were then examined manually with the traditional photo interpretation process to confirm that they indeed could be accepted as that map unit. If photo interpretation determines that the areas were not acceptable, then they were changed to a more appropriate map unit.