217 results — topic: Geospatial Analysis

Dataset

Drone ortho basemap of the Gothic Townsite, June 17th, 2019

This is a visible (RGB) orthomosaic derived from UAV imagery via Structure from Motion processing. UAV flights were performed in sunny conditions on June 17th 2019, collecting RGB images using the built-in camera on a DJI Mavic 2 Pro. The raw imagery had an approximately 3cm ground sample distance (

Ian Breckheimer2021
Dataset

Styled 2019 snow depth basemap of the Upper East River domain

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

Ian Breckheimer2021
Dataset

Styled 2018 snow depth basemap of the Upper East River domain

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

Ian Breckheimer2021
Dataset

Styled slope and aspect basemap of the Upper Gunnison domain

This dataset is a styled basemap depicting topographic slope and aspect of Upper Gunnison domain using a rainbow color scale 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. In

Ian Breckheimer2021
Dataset

Styled canopy structure basemap of the Upper Gunnison domain

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

Ian Breckheimer2021
Dataset

Styled hillshade basemap for the Upper Gunnison domain

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

Ian Breckheimer2021
Dataset

Styled hydrology basemap of the Upper Gunnison domain

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

Ian Breckheimer2021
Dataset

Styled landcover basemap for the Upper Gunnison domain

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

Ian Breckheimer2021
Dataset

A composite high resolution canopy height map for the Upper East River domain

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

Ian Breckheimer2021
Dataset

Thermal infrared and photogrammetric data collected by small unoccupied aircraft system for hydrogeologic analysis of Oh-be-joyful Creek, Gunnison National Forest, Colorado, August 2017

The U.S. Geological Survey collected low-altitude airborne thermal infrared data and visual imagery via a multirotor, small unoccupied aircraft system deployed from the northern bank of Oh-be-joyful Creek and adjacent to the Peeler fault, approximately 6 kilometers northwest of the town of Crested B

Cian Dawson2021DOI: 10.5066/P931G95D
Dataset

Database for the Geologic Map of the Bonanza Caldera Area, Northeastern San Juan Mountains, Colorado

The San Juan Mountains in southwestern Colorado have long been recognized as a site of exceptionally voluminous mid-Tertiary volcanism, including at least 24 major ignimbrite sheets (each 150-5,000 km3) and associated caldera structures active at 33-23 Ma. More recent volcanologic and petrologic stu

Robinson, Joel E, Lipmon, Peter W2020DOI: 10.5066/p911ol4q
Dataset

Database for the Geologic Map of the Bonanza Caldera Area, Northeastern San Juan Mountains, Colorado

The San Juan Mountains in southwestern Colorado have long been recognized as a site of exceptionally voluminous mid-Tertiary volcanism, including at least 24 major ignimbrite sheets (each 150-5,000 km3) and associated caldera structures active at 33-23 Ma. More recent volcanologic and petrologic stu

Robinson, Joel E, Lipmon, Peter W2020DOI: 10.5066/p911ol4q
Dataset

ASO L4 Lidar Point Cloud Digital Terrain Model 3m UTM Grid, Version 1

Painter, Thomas, Bormann, Kat2020DOI: 10.5067/2ehmwg4it76o
Dataset

Hydrologic Model Files (PRMS) for Historical Conditions in the East River Watershed, Colorado between 1987-2019

The data package contains model input and output file for the East River watershed (85 km2) located in the headwaters of the Colorado River. The model is the U.S. Geological Survey (USGS) Precipitation-Modeling Runoff System (PRMS) for the historical, or baseline, condition (1987-2019) to assess the

Rosemary Carroll, Kenneth Williams, David Gochis2020DOI: 10.15485/1691511
Dataset

Hydrologic Model Files (PRMS) for Historical Conditions in the East River Watershed, Colorado between 1987-2019

The data package contains model input and output file for the East River watershed (85 km2) located in the headwaters of the Colorado River. The model is the U.S. Geological Survey (USGS) Precipitation-Modeling Runoff System (PRMS) for the historical, or baseline, condition (1987-2019) to assess the

Rosemary Carroll2020DOI: 10.15485/1691511
Dataset

Hydrologic Model Files (PRMS) for Historical Conditions in the East River Watershed, Colorado between 1987-2019

The data package contains model input and output file for the East River watershed (85 km2) located in the headwaters of the Colorado River. The model is the U.S. Geological Survey (USGS) Precipitation-Modeling Runoff System (PRMS) for the historical, or baseline, condition (1987-2019) to assess the

Rosemary Carroll, Kenneth Williams, David Gochis2020DOI: 10.15485/1691511
Dataset

Hydrologic Model Files (PRMS) for Historical Conditions in the East River Watershed, Colorado between 1987-2019

The data package contains model input and output file for the East River watershed (85 km2) located in the headwaters of the Colorado River. The model is the U.S. Geological Survey (USGS) Precipitation-Modeling Runoff System (PRMS) for the historical, or baseline, condition (1987-2019) to assess the

Rosemary Carroll, Kenneth Williams, David Gochis2020DOI: 10.15485/1691511
Dataset

Hydrologic Model Files (PRMS) for Historical Conditions in the East River Watershed, Colorado between 1987-2019

The data package contains model input and output file for the East River watershed (85 km2) located in the headwaters of the Colorado River. The model is the U.S. Geological Survey (USGS) Precipitation-Modeling Runoff System (PRMS) for the historical, or baseline, condition (1987-2019) to assess the

Rosemary Carroll, Kenneth Williams, David Gochis2020DOI: 10.15485/1691511
Dataset

Quality-controlled Vegetation Canopy Height Model for the Upper East River Domain

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.

Ian Breckheimer2020
Dataset

Small Sub-watersheds of the Upper East River Domain

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

Ian Breckheimer2020