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 classified plot data were overlaid with the imagery to serve as an interpretive guide. Vegetation associations guided the creation of map units, which crosswalk to one or more component associations. Map units were defined by the lowest common level in the USNVC hierarchy of its component associations. Fifteen USNVC group, alliance, or association level vegetation types, and two non-natural land cover types (Anderson et al. 1976) were delineated using onscreen digitizing techniques. These 17 map units were later reduced to 15 as two map units eliminated by merging them with the types with which they were most often confused.

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 development of map units (map classes) and construction of a map legend is an iterative process that integrates the ecological vegetation classification units (plant associations, groups, etc.) described above with their spatial distribution as determined by the quality of the remote sensing imagery and on-the-ground reconnaissance work. Following NPS guidelines, the desired target is the development of map units that correspond to the plant-association level of the national classification, but this is contingent on being able to discern differences in the available imagery at that level using various remote techniques. Once a final supervised classification was completed, the resulting 45 classes were recoded into one of the 23 map units that best represented them. The image polygons developed from the object-oriented classification were imported as a feature dataset polygon layer in ESRI ArcGIS (v. 9.3), the file quality controlled, and topology built. The image polygons were then overlaid onto the recoded classification and the majority map unit was assigned as that polygon’s 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. The development of map units (map classes) and construction of a map legend is an iterative process that integrates the ecological vegetation classification units (plant associations, groups, etc.) described above with their spatial distribution as determined by the quality of the remote sensing imagery and on-the-ground reconnaissance work. Following NPS guidelines, the desired target is the development of map units that correspond to the plant-association level of the national classification, but this is contingent on being able to discern differences in the available imagery at that level using various remote techniques. Once a final supervised classification was completed, the resulting 45 classes were recoded into one of the 23 map units that best represented them. The image polygons developed from the object-oriented classification were imported as a feature dataset polygon layer in ESRI ArcGIS (v. 9.3), the file quality controlled, and topology built. The image polygons were then overlaid onto the recoded classification and the majority map unit was assigned as that polygon’s 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. The APMM provides polygonal data with floristic attributes along with categorical data for cover by vegetation type. The photographic interpretation was based on 1:15,840-scale true-color aerial photography (prints and transparencies) acquired in July and August 2004. The interpreted overlays were orthorectified along with the scanned aerial photography and vectorized using Arc/Info™ (ESRI, Inc.) software. The DCMM produces a raster database from which multiple vector products can be derived to depict the floristics (using any vegetation classification with defined thresholds) and quantitative metrics with estimates of statistical confidence for cover by species and class, quadratic mean diameter of tree stems and crowns by species, trees per acre, fine and coarse woody debris, and other metrics. Two Landsat 5 Thematic Mapper scenes acquired in July and September 2005 were processed with Intergraph® software utilizing all bands except the thermal band. . The APMM mapped 27 Generalized Alliances and seven non-vegetated classes with an overall proportion correct of 72% (based on the most liberal of three accuracy thresholds). The DCMM mapped 29 Generalized Alliances and three non-vegetated classes with on overall proportion correct of 86% (based on the most liberal of three accuracy thresholds).

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 APMM provides polygonal data with floristic attributes along with categorical data for cover by vegetation type. The photographic interpretation was based on 1:15,840-scale true-color aerial photography (prints and transparencies) acquired in July and August 2004. The interpreted overlays were orthorectified along with the scanned aerial photography and vectorized using Arc/Info™ (ESRI, Inc.) software. The DCMM produces a raster database from which multiple vector products can be derived to depict the floristics (using any vegetation classification with defined thresholds) and quantitative metrics with estimates of statistical confidence for cover by species and class, quadratic mean diameter of tree stems and crowns by species, trees per acre, fine and coarse woody debris, and other metrics. Two Landsat 5 Thematic Mapper scenes acquired in July and September 2005 were processed with Intergraph® software utilizing all bands except the thermal band. . The APMM mapped 27 Generalized Alliances and seven non-vegetated classes with an overall proportion correct of 72% (based on the most liberal of three accuracy thresholds). The DCMM mapped 29 Generalized Alliances and three non-vegetated classes with on overall proportion correct of 86% (based on the most liberal of three accuracy thresholds).

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. First, the Oregon Geographic Information Council coordinated the acquisition of the project imagery for the state of Oregon and adjacent California in the summer of 2009 through an agreement with the United States Department of Agriculture, Farm Services Agency, and National Agriculture Imagery Program (NAIP). The Oregon Geospatial Enterprise Office provided Digital Video Disks of the imagery to the Southern Oregon University research team. The imagery was projected to Universal Transverse Mercator zone 10, North American Datum (1983), with a spatial resolution of 1m (3.3 ft). The Lava Beds region imagery was then subset from the NAIP aerial orthophotography acquired for the entire state of Oregon and adjacent California. The 2009 NAIP imagery was collected with a Leica ADS40-SH51 digital camera that recorded 4-band multi-spectral (red, green, blue, and infrared wavelength) images. The Klamath Network staff did not make any additional modifications to the delivered NAIP imagery. Second, we used the ESRI world imagery in conjunction with the NAIP imagery when 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. First, the Oregon Geographic Information Council coordinated the acquisition of the project imagery for the state of Oregon and adjacent California in the summer of 2009 through an agreement with the United States Department of Agriculture, Farm Services Agency, and National Agriculture Imagery Program (NAIP). The Oregon Geospatial Enterprise Office provided Digital Video Disks of the imagery to the Southern Oregon University research team. The imagery was projected to Universal Transverse Mercator zone 10, North American Datum (1983), with a spatial resolution of 1m (3.3 ft). The Lava Beds region imagery was then subset from the NAIP aerial orthophotography acquired for the entire state of Oregon and adjacent California. The 2009 NAIP imagery was collected with a Leica ADS40-SH51 digital camera that recorded 4-band multi-spectral (red, green, blue, and infrared wavelength) images. The Klamath Network staff did not make any additional modifications to the delivered NAIP imagery. Second, we used the ESRI world imagery in conjunction with the NAIP imagery when mapping.

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. Four basic elements were used to create the SUCR vegetation map: 1) map class development, 2) aerial photography interpretation, 3) digital transfer, and 4) map validation. Following these steps, a formal accuracy assessment determined errors of omission and commission with the goal of achieving a minimum of 80% map accuracy. An ArcInfo GIS database was built for SUCR using in-house protocols for creating vegetation GIS databases. The protocols consist of a shell of Arc Macro Language (AML) scripts and menus that automate the transfer process and insure that all spatial and attribute data are consistent and stored properly. We modified the map classes as a result of field verification and used the modified classes in the final photointerpretation. The final map revision was completed in September 2002.

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. Four basic elements were used to create the SUCR vegetation map: 1) map class development, 2) aerial photography interpretation, 3) digital transfer, and 4) map validation. Following these steps, a formal accuracy assessment determined errors of omission and commission with the goal of achieving a minimum of 80% map accuracy. An ArcInfo GIS database was built for SUCR using in-house protocols for creating vegetation GIS databases. The protocols consist of a shell of Arc Macro Language (AML) scripts and menus that automate the transfer process and insure that all spatial and attribute data are consistent and stored properly. We modified the map classes as a result of field verification and used the modified classes in the final photointerpretation. The final map revision was completed in September 2002.

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.