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. Aerial photography covering the entire project area was received by RSGIG from USGS/BRD. The color infrared (CIR) photographs were acquired on October 8, 1996 by Merrick, & Company, Aurora, Colorado, and were taken at 1:12,000 (1inch=1,000 feet) scale. Hardcopies of the photographs were provided as 9 inch x 9 inch diapositives. Overlap for these photos averaged approximately 50-60% and sidelap between flight lines is approximately 30-40%. The base maps, standard USGS digital orthophoto quarter quads (DOQQs) for geo-referencing or registration of delineated map classes were created from aerial photographs flown in October 1997. These maps are grayscale, with 1 meter per pixel resolution, UTM coordinate system, and NAD83 datum.

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 for Capulin Volcano National Monument was developed using a combined strategy of automated digital-image classification and direct analog-image interpretation of aerial photography and satellite imagery. Initially, the aerial photography and satellite imagery were processed and entered into a GIS along with ancillary spatial layers. A working legend of ecologically based vegetation map units was developed using the vegetation classification described in Chapter 2 as the foundation. The intent was to develop map units that targeted the plant-association level wherever possible within the constraints of image quality, information content, and resolution. With the provisional legend and ground-control points provided by the field-plot data (the same data used to develop the vegetation classification), a series of automated image segmentation and supervised image classifications were conducted, followed by fine-scale map refinement using direct image interpretation and manual editing. The outcome was a vegetation map composed of a suite of map units defined by plant associations and represented by sets of mapped polygons with similar spectral and physical characteristics.

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 for Capulin Volcano National Monument was developed using a combined strategy of automated digital-image classification and direct analog-image interpretation of aerial photography and satellite imagery. Initially, the aerial photography and satellite imagery were processed and entered into a GIS along with ancillary spatial layers. A working legend of ecologically based vegetation map units was developed using the vegetation classification described in Chapter 2 as the foundation. The intent was to develop map units that targeted the plant-association level wherever possible within the constraints of image quality, information content, and resolution. With the provisional legend and ground-control points provided by the field-plot data (the same data used to develop the vegetation classification), a series of automated image segmentation and supervised image classifications were conducted, followed by fine-scale map refinement using direct image interpretation and manual editing. The outcome was a vegetation map composed of a suite of map units defined by plant associations and represented by sets of mapped polygons with similar spectral and physical characteristics.

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 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.

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 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 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.

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.

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. Oregon Geospatial Enterprise Office (2012) provided digital video disks of the imagery to the Southern Oregon University research team. The imagery was projected to Oregon State Plane South Federal Information Processing Standards (FIPS) 3602 North American Datum (NAD) 1983. We extracted the Crater Lake imagery from the NAIP aerial orthophotography acquired for the entire state of Oregon. The NAIP imagery was collected in 2011 with a Leica ADS40-SH51 digital camera that recorded 4-band multi-spectral (red, green, blue, and infrared wavelength) images at a spatial resolution of 1 m (3.3 feet). Watershed Sciences, Inc. collected Light Detection and Ranging (Lidar) data of Crater Lake National Park in 2010 for the Oregon Department of Geology and Mineral Industries (DOGAMI) which then delivered it to the park.