1,912 results — topic: Gunnison Basin
3 m Resolution 20th Percentile Canopy Height Estimates for the Upper Gunnison Basin derived from 2015 and 2019 LiDAR Data
This is a map of 20th percentile canopy height above the ground for the Upper Gunnison River Basin based on 2015 and 2019 LiDAR data. Height is measured in meters. This dataset was generated from the terrain-normalized point clouds using functions in the R package lidR. The ground-classified points
1 m Resolution Canopy Height Estimates for the Upper Gunnison Basin derived from 2015 and 2019 LiDAR Data
This is a map of vegetation canopy height above the ground for the Upper Gunnison River Basin based on 2015 and 2019 LiDAR data. Height is measured in meters. This dataset was generated from the original point clouds using a pit-free algorithm implemented in the R package lidR. The ground-classified
3 m Resolution Understory Cover for the Upper Gunnison Basin derived from 2015 and 2019 LiDAR Data
This is a map of vegetation understory cover or density for the Upper Gunnison River Basin based on 2015 and 2019 LiDAR data. Cover is measured as a proportion (0 representing no cover, and 1 representing complete cover). This dataset was generated from the normalized, elevation-corrected LiDAR poin
3 m Resolution Digital Elevation Model for the Upper Gunnison Domain derived from 2015 and 2019 LiDAR Data
This is a 3 m resolution Digital Elevation Model (DEM) for the Upper Gunnison River domain derived from public LiDAR datasets. The primary data source was a 2019 LiDAR collection for Gunnison County. A small portion of the upper basin was not covered by this dataset, and for those areas, data from a
1 m Resolution Digital Elevation Model for the Upper Gunnison Domain derived from 2015 and 2019 LiDAR Data
This is a 1 m resolution Digital Elevation Model (DEM) for the Upper Gunnison River domain derived from public LiDAR datasets. The primary data source was a 2019 LiDAR collection for Gunnison County. A small portion of the upper basin was not covered by this dataset, and for those areas, data from a
Subcanopy Potential Solar Radiation on Day of Year 355 for the Upper East River Derived from 2018 NEON AOP Data
This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 355 (winter solstice), taking into account shading from topography, buildings, and vegetation greater than 1m in height. This map was generated with the GRASS GIS program r.sun and a subcanopy solar radia
Subcanopy Potential Solar Radiation on Day of Year 265 for the Upper East River Derived from 2018 NEON AOP Data
This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 265 (fall equinox), taking into account shading from topography, buildings, and vegetation greater than 1m in height. This map was generated with the GRASS GIS program r.sun and a subcanopy solar radiatio
Subcanopy Potential Solar Radiation on Day of Year 172 for the Upper East River Derived from 2018 NEON AOP Data
This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 172 (summer solstice), taking into account shading from topography, buildings, and vegetation greater than 1m in height. This map was generated with the GRASS GIS program r.sun and a subcanopy solar radia
Subcanopy Potential Solar Radiation on Day of Year 80 for the Upper East River Derived from 2018 NEON AOP Data
This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 265 (fall equinox), taking into account shading from topography, buildings, and vegetation greater than 1m in height. This map was generated with the GRASS GIS program r.sun and a subcanopy solar radiatio
Bare Earth Potential Solar Radiation on Day of Year 355 for the Upper East River Derived from 2018 NEON AOP Data
This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 355 (winter solstice), taking into account shading from topography and buildings, but not vegetation. This map was generated with the GRASS GIS program r.sun.
Bare-earth Potential Solar Radiation on Day of Year 172 for the Upper East River Derived from 2018 NEON AOP Data
This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 172 (summer solstice), taking into account shading from topography and man-made structures, but not vegetation. This map was generated with the GRASS GIS program r.sun.
Bare-earth Potential Solar Radiation on Day of Year 265 for the Upper East River Derived from 2018 NEON AOP Data
This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 265 (fall equinox), taking into account shading from topography and man-made structures, but not vegetation. This map was generated with the GRASS GIS program r.sun.
Bare Earth Potential Solar Radiation on Day of Year 80 for the Upper East River Derived from 2018 NEON AOP Data
This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 80 (spring equinox), taking into account shading from topography and buildings, but not vegetation. This map was generated with the GRASS GIS program r.sun.
Upper Gunnison Water Conservancy District (Volume 2)- Part 3
President of Board: William S. Trampe Date: December 10, 1994 Budget, Citizens, Employment, Union Park Project, Taylor Park Reservoir,? Conservancy
Upper Gunnison Water Conservancy District (Volume 2)- Part 2
President of Board: William S. Trampe Date: December 10, 1994 Budget, Citizens, Employment, Union Park Project, Taylor Park Reservoir,? Conservancy
Upper Gunnison Water Conservancy District (Volume 2)- Part 1
President of Board: William S. Trampe Date: December 10, 1994 Budget, Citizens, Employment, Union Park Project, Taylor Park Reservoir,? Conservancy
Taylor River Road and Cottonwood Pass Road (Colorado Forest Highway 59) public meeting agenda
Gunnison County Board of County Commissioners. June 24, 1994.
Manica mutica in Gunnison County, Colorado
Forest vegetation of the Gunnison and parts of the Uncompahgre National Forests : a preliminary habitat type classification
A vegetation classification based on a combination of concepts and methods developed by Braun-Blanquet and Daubenmire was used to identify 37 tentative forest habitat types on the Gunnison National Forest. Woodland habitat types comprised two series with a total of 3 habitat types, and forest habita
