These are maps of monthly averages of daily maximum air temperature for the Upper Gunnison domain measured in degrees C. Estimates were derived from weather station and microclimate sensor data using Bayesian regression-kriging, incorporating topographic and vegetation structure covariates. These da

These are maps of monthly averages of daily minimum air temperature for the Upper Gunnison domain measured in degrees C. Estimates were derived from weather station and microclimate sensor data using Bayesian regression-kriging, incorporating topographic and vegetation structure covariates. These da

These are maps of monthly averages of daily average air temperature for the Upper Gunnison domain measured in degrees C. Estimates were derived from weather station and microclimate sensor data using Bayesian regression-kriging, incorporating topographic and vegetation structure covariates. These da

These are maps of daily minimum air temperature for the Upper Gunnison domain measured in degrees C. Estimates were derived from weather station and microclimate sensor data using Bayesian regression-kriging, incorporating topographic and vegetation structure covariates. To reduce storage space, ori

These are maps of daily maximum air temperature for the Upper Gunnison domain measured in degrees C. Estimates were derived from weather station and microclimate sensor data using Bayesian regression-kriging, incorporating topographic and vegetation structure covariates. To reduce storage space, ori

This map is a soil moisture proxy derived from analysis of the UG 1m hydrologically corrected digital elevation model. The intuition behind this map is that areas that have flat topography and are near the elevation of local streams are likely to have high soil moisture. This index builds on the wor

This is a 1m resolution aerial imagery orthomosaic resampled from 0.6m 4-band orthoimagery collected on September 14th 2019 as part of the USDA National Aerial Imagery Program. The original NAIP tiles were reprojected, mosaiced and bilinearly resampled to the standard UG 1m grid, and compressed usin

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

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

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

This is a 3m resolution binary map representing areas within the Upper Gunnison Domain of the RMBL Spatial Data Platform.

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

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

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

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

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

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

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

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

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