1,912 results — topic: Gunnison Basin
1 m Resolution NDVI for the Upper Gunnison Basin derived from September 2019 NAIP Imagery
This is a 1m resolution map of Normalized Differential Vegetation Index (NDVI) derived from resampled 0.6m 4-band orthoimagery collected as part of the USDA National Aerial Imagery Program. The NAIP tiles were mosaiced and bilinearly resampled to the standard UG 1m grid before calculating NDVI as (N
1 m Resolution 4-band orthoimagery for the Upper Gunnison Basin derived from October 2017 NAIP imagery
This is a 1m resolution map of Normalized Differential Vegetation Index (NDVI) derived from resampled 0.6m 4-band orthoimagery collected as part of the USDA National Aerial Imagery Program. The NAIP tiles were mosaiced and bilinearly resampled to the standard UG 1m grid before calculating NDVI as (N
1m Resolution NDVI for the Upper Gunnison Basin derived from October 2017 NAIP Imagery
This is a 1m resolution map of Normalized Differential Vegetation Index (NDVI) derived from resampled 0.6m 4-band orthoimagery collected as part of the USDA National Aerial Imagery Program. The NAIP tiles were mosaiced and bilinearly resampled to the standard UG 1m grid before calculating NDVI as (N
Mask for the Upper Gunnison SDP Domain at 3 m resolution
This is a 3m resolution binary map representing areas within the Upper Gunnison Domain of the RMBL Spatial Data Platform.
Mask for the Upper Gunnison SDP Domain at 1m resolution
This is a 1m resolution binary map representing areas within the Upper Gunnison Domain of the RMBL Spatial Data Platform.
1 m Resolution Basic Landcover Map for the Upper Gunnison Domain Derived from NAIP Imagery and LiDAR
This is 1 meter resolution landcover map developed for the RMBL Spatial Data Platform. Source datasets include 2017 and 2019 4-band imagery from the National Aerial Imagery Program, and 2019 LiDAR data collected by Quantum Geospatial for the Colorado Hazard Mapping Program. The numeric codes for the
1 m Resolution topographic slope for the Upper Gunnison Basin derived from 2015 and 2019 LiDAR data.
This is a 1 m resolution map of topographic slope (measured in degrees) computed using a 3*3 pixel kernel and Horn's formula. It is derived from a 1m resolution Digital Elevation Model (DEM) for the Upper Gunnison River derived from public LiDAR datasets. The primary data source was a 2019 LiDAR col
1 m Resolution topographic aspect "westness" for the Upper Gunnison Basin derived from 2015 and 2019 LiDAR data
This is a 1 m resolution map of the relative "westness" of topographic aspect, computed from the cosine of the topographic aspect using the equation: cos(aspect_radians) * -1 Where the aspect is computed clockwise with east having a value of 0. In this map, east-facing aspects have a value of -1 and
1 m Resolution WGS84 UTM Zone 13N Y Coordinate for the Upper Gunnison Domain
This map records the UTM Y Coordinate (in meters) for every pixel in the Upper Gunnison Domain, as measured using the WGS84 UTM Zone 13N Coordinate System (EPSG:32613). This map is useful for spatial prediction in models that explicitly incorporate geographic relationships, such as regression models
1 m Resolution topographic aspect "southness" for the Upper Gunnison Basin derived from 2015 and 2019 LiDAR
This is a 1 m resolution map of the relative "southness" of topographic aspect, computed from the cosine of the topographic aspect using the equation: cos(aspect_radians) * -1 North-facing aspects have a value of -1 and south-facing aspects have a value of 1. East and west-facing aspects have a valu
1 m Resolution WGS84 UTM Zone 13N X Coordinate for the Upper Gunnison Domain
This map records the UTM X Coordinate (measured in meters) for every pixel in the Upper Gunnison Domain, as measured using the WGS84 UTM Zone 13N Coordinate System (EPSG:32613). This map is useful for spatial prediction in models that explicitly incorporate geographic relationships, such as regressi
3 m Resolution Canopy Cover Estimates for the Upper Gunnison Basin derived from 2015 and 2019 LiDAR Data
This is a map of vegetation canopy 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 measure of cover is the inverse of the canopy gap fraction. This dataset was
3 m Resolution 80th 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
Upper Gunnison Water Conservancy District (Volume 2)- Part 6
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 7
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 5
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 4
President of Board: William S. Trampe Date: December 10, 1994 Budget, Citizens, Employment, Union Park Project, Taylor Park Reservoir,? Conservancy
Tardigrada from Gunnison Co., Colorado, with the description of a new species of <i>Diphascon</i>
Survey of Reproducing Populations Containing Neotenic Morphs of the Salamander, <i>Ambystoma Tigrinum nebulosum</i>, in the Gunnison Basin of Colorado
The mating biology of a mass-swarming mayfly
Investigation of this mating system in Epeerus longimanus, a mayfly of the western United States that forms swarms that are quite large, finds that swarm locations are not explainable as feeding or emergence sites, but they do correlate with landscape features.
