235 results — topic: Geospatial Analysis
Multi-direction Flow Accumulation for the Upper East River Domain
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
Hydrologically Corrected (cut and burned) 1m Digital Elevation Model for the Upper East River Domain
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
Hydrologically Corrected (cut) 1m Digital Elevation Model for the Upper East River Domain
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
1m Digital Elevation Model with Buildings Derived from the 2018 NEON AOP Dataset
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. This version of the data includes the elevation of buildings and other non-vegetation objects such as bridges, but areas of vegetation refle
Quality-controlled and Gap-filled 1m Digital Elevation Model for the Upper East River Domain
This is a bare-earth digital elevation model from the 2018 NEON AOP dataset. Areas outside the boundaries of the Upper East River domain were filled with data interpolated from the 3m 2018 Airborne Snow Observatory DEM. The ASO DEM was harmonized with the NEON DEM and filtered to remove small pits a
Quality-controlled 1m Digital Elevation Model for the Upper East River Domain
1m Resolution bare-earth Digital Elevation Model for the Upper East River Derived from 2018 NEON AOP Data. This version has been re-processed to remove artifacts associated with sharp ridges and dense vegetation, and was based on original data from NEON: Goulden T ; Hass B ; Brodie E ; Chadwick K D
RMBL NHD Lakes
The National Hydrography Dataset (NHD) represents the water drainage network of the United States with features such as rivers, streams, canals, lakes, ponds, coastline, dams, and stream gages. This data was downloaded directly from the usgs.gov National Map downloader site. The data was then clippe
RMBL County Town Boundaries
These are the platted and recorded designated city and town boundaries within Gunnison County. This dataset was downloaded directly from the Gunnison County GIS website and was updated on 09/10/2019. The data download link goes to the shapefile data format, though this data is available for download
RMBL NHD Streams
The National Hydrography Dataset (NHD) represents the water drainage network of the United States with features such as rivers, streams, canals, lakes, ponds, coastline, dams, and stream gages. This data was downloaded directly from the usgs.gov National Map downloader site. The data was then clippe
RMBL County Roads 2019
All E911 highways, public and private roads within Gunnison and some of Hinsdale Counties. This data was downloaded directly from the Gunnison County GIS website, and was last updated 09/10/2019. The data download link goes to the shapefile data format, though this data is available for download off
RMBL County Parcels 2019
This dataset contains the parcel boundaries with the tax parcel information included from the Gunnison County Assessors and GIS office. It was downloaded directly off the Gunnison County GIS department website. The data download link goes to the shapefile data format, though this data is available f
RMBL County Trails
This data set includes all trails, bikeways and public paths within Gunnison County. It was created by RMBL GIS and is a compilation of trail data from multiple sources such as the Crested Butte Mountain Bike Association, US Forest Service and Gunnison County. The data download link goes to the shap
RMBL USFS Districts
These are the US Forest Service designated districts for the Gunnison County area. This dataset was created in 2015 by Rocky Mountain Biological Lab GIS off documents and legal boundaries from the USFS. These districts are broken into 4 different districts: West Zone/Aspen Ranger District (White Riv
RMBL Wilderness Areas
This data set contains all of the wilderness area boundaries within Gunnison County. The original dataset was downloaded off the Gunnison County GIS website. The data download link goes to the shapefile data format, though this data is available for download off the ArcGIS Online site as a KML, File
RMBL USFS & BLM Lands
These are the parcel lands within Gunnison County that are either managed or owned by the US forest Service or the Bureau of Land Management. This layer was created by RMBL GIS, and is a subset of data from the original Exempt shapefile downloaded from the Gunnison County website. The data download
RMBL 2020 Current Research sites
This data set is created and updated yearly based on scientist, researcher, and student GPS mapping throughout the year. All of the current research sites from each summer are combined as polygons in one feature layer. This dataset is for public use and does not contain any private researcher name o
Sub-Basin Delineation for the Upper East River, Colorado, United States
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
LiDAR collection in August 2015 over the East River Watershed, Colorado, USA
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
