This file includes the data published in: Malenda, H.F., Sutfin, N.A., Stauffer, S., Guryan. G., Rowland, J.C., Williams, K.H., and Singha, K. (2019). From Grain to Floodplain: Evaluating heterogeneity of floodplain hydrostatigraphy using sedimentology, geophysics, and remote sensing. Earth Surface

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 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

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

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

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

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

This is a map of various vegetation canopy structure metrics derived from high-density airborne LiDAR scans collected in August - September 2015 and 2019. The different raster bands represent statistical summaries of the normalized LiDAR point cloud. In the normalized point cloud, ground elevations

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 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 is a digital surface model from the 2018 NEON AOP dataset. It represents the height above sea level for objects attached to the ground, such as buildings and trees. This version of the data includes the elevation of the tops of deciduous vegetation, consistent with the data collection interval

Upper East sub-basins are delineated as area contributing flow to SFA 2016 stream gage locations. Shapefile attributes include sub-basin ID, name, area (m2 and km2) and codes for spatial contributions to EBC and PH used by Carroll et al. (2018). Geospatial reference is UTM 1983 zone 13. JPEG image p

Airborne LiDAR data were acquired over the East River Watershed on June 8, 2015 to August 10, 2015. The area covered was approximately 4933 square kilometers with an average point density of 10-12 points per square meter to comply with USGS's QL1 standard. Additional products include the LiDAR point