This is a styled basemap showing snow depth on April 7th 2019 derived from repeat LiDAR data collection by the Airborne Snow Observatory. This dataset is derived directly from: Painter, T. 2019. ASO L4 Lidar Snow Depth 3m UTM Grid, Version 1. Boulder, Colorado USA. NASA National Snow and Ice Data Ce

This is a styled basemap showing snow depth on March 31st, 2018 derived from repeat LiDAR data collection by the Airborne Snow Observatory. This dataset is derived directly from: Painter, T. 2018. ASO L4 Lidar Snow Depth 3m UTM Grid, Version 1. Boulder, Colorado USA. NASA National Snow and Ice Data

This dataset is a styled basemap depicting vegetation canopy structure variables in the Upper Gunnison domain overlaid on high-resolution topography, optimized for fast display on web maps and mobile devices. The underlying datasets are available as part of Release 3 of the RMBL Spatial Data Platfor

This dataset is a styled basemap depicting topography the Upper Gunnison domain as a hillshade with contour lines, optimized for fast display on web maps and mobile devices. The underlying datasets are available as part of Release 3 of the RMBL Spatial Data Platform. Hillshade topography mimics the

This dataset is a styled basemap depicting hydrologic variables of interest in the Upper Gunnison domain overlaid on high-resolution topography, optimized for fast display on web maps and mobile devices. The underlying datasets are available as part of Release 3 of the RMBL Spatial Data Platform. Th

This dataset is a styled basemap depicting basic landcover classes of the Upper Gunnison domain overlaid on high-resolution topography, optimized for fast display on web maps and mobile devices. The underlying datasets are available as part of Release 3 of the RMBL Spatial Data Platform. The color s

This dataset represents a 1/3 m resolution vegetation canopy height model for the upper East River Watershed in Western Colorado. Source datasets include August 2015 and August 2019 discrete-return LiDAR point clouds collected by Quantum Geospatial for terrain mapping purposes on behalf of the Color

This is a landcover map derived from the 2018 NEON AOP dataset for the upper east river. 1=needle-leaf trees and shrubs 2=deciduous trees and shrubs 3=deciduous meadow and subshrub ( 0.5m) 4=bare rock, soil, gravel and asphalt 5=water 6=snow 7=buildings Source data includes NEON LiDAR and imaging sp

This is a vegetation canopy height map from the 2018 NEON AOP dataset. It was derived from the NEON Lidar-based digital surface model and the re-processed SDP NEON DEM. Pixels with low NDVI or inside building footprints were set to a value of zero.

This map represents estimated watersheds for stream segments derived from a hydrologically corrected digital elevation model. The flow lines were derived in GRASS GIS using a single direction algorithm that does not allow channel braiding. Each watershed is identified by a unique integer that matche

This map represents estimated watersheds for stream segments derived from a hydrologically corrected digital elevation model. The flow lines were derived in GRASS GIS using a single direction algorithm that does not allow channel braiding. Each watershed is identified by a unique integer that matche

This map represents estimated stream flowlines from a hydrologically corrected digital elevation model. The lines were derived in GRASS GIS using a single flow-direction (D8) algorithm that does not allow channel braiding. Each stream segment is identified by a unique integer. Stream lines were deli

This map represents estimated stream flowlines from a hydrologically corrected digital elevation model. The lines were derived in GRASS GIS using a multi-direction algorithm that allows channel braiding. Each stream segment is identified by a unique integer. Stream lines were delineated for drainage

This map represents estimated stream flowlines from a hydrologically corrected digital elevation model. The lines were derived in GRASS GIS using a single-flow direction algorithm that does not allow channel braiding. Each stream segment is identified by a unique integer.Stream lines were delineated

This map represents estimated stream flowlines from a hydrologically corrected digital elevation model. The lines were derived in the GRASS GIS module r.watershed using a multi-flow direction algorithm that allows channel braiding. Each stream segment is identified by a unique integer.

This map represents estimated flow accumulation from a hydrologically corrected digital elevation model. The map was derived in GRASS GIS using a single flow-direction (D8) algorithm that does not allow channel braiding. Values represent the area (in square meters) of land that contributes flow to a

This dataset represents estimated flow accumulation from a hydrologically corrected digital elevation model. The map was derived in GRASS GIS using a multi-flow direction algorithm that allows channel braiding. Values represent the area (in square meters) of land that contributes flow to a given cel

This map represents the estimated binary presence of surface water during the NEON Airborne Observation Platform campaign in July 2018. Values of 1 represent open water, values of 0 represent no water present. Surface water was mapped using imaging spectrometer data from the AOP, and combined with a

This is a hydrologically corrected digital elevation model derived from the 2018 NEON AOP dataset. It represents the height above sea level for impervious objects attached to the ground, such as buildings, but not vegetation. Bridges and culverts have been "cut" to allow flow, and areas of suface wa

This is a hydrologically corrected digital elevation model derived from the 2018 NEON AOP dataset. It represents the height above sea level for impervious objects attached to the ground, such as buildings, but not vegetation. Bridges and culverts have been "cut" to allow realistic surface flow for h