125 results — topic: SDP

Dataset

3 m Resolution Digital Elevation Model for the Upper Gunnison Domain derived from 2015 and 2019 LiDAR Data

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

Ian Breckheimer2021
Dataset

1 m Resolution Digital Elevation Model for the Upper Gunnison Domain derived from 2015 and 2019 LiDAR Data

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

Ian Breckheimer2021
Dataset

Subcanopy Potential Solar Radiation on Day of Year 355 for the Upper East River Derived from 2018 NEON AOP Data

This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 355 (winter solstice), taking into account shading from topography, buildings, and vegetation greater than 1m in height. This map was generated with the GRASS GIS program r.sun and a subcanopy solar radia

Ian Breckheimer2021
Dataset

Subcanopy Potential Solar Radiation on Day of Year 265 for the Upper East River Derived from 2018 NEON AOP Data

This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 265 (fall equinox), taking into account shading from topography, buildings, and vegetation greater than 1m in height. This map was generated with the GRASS GIS program r.sun and a subcanopy solar radiatio

Ian Breckheimer2021
Dataset

Subcanopy Potential Solar Radiation on Day of Year 172 for the Upper East River Derived from 2018 NEON AOP Data

This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 172 (summer solstice), taking into account shading from topography, buildings, and vegetation greater than 1m in height. This map was generated with the GRASS GIS program r.sun and a subcanopy solar radia

Ian Breckheimer2021
Dataset

Subcanopy Potential Solar Radiation on Day of Year 80 for the Upper East River Derived from 2018 NEON AOP Data

This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 265 (fall equinox), taking into account shading from topography, buildings, and vegetation greater than 1m in height. This map was generated with the GRASS GIS program r.sun and a subcanopy solar radiatio

Ian Breckheimer2021
Dataset

Bare Earth Potential Solar Radiation on Day of Year 355 for the Upper East River Derived from 2018 NEON AOP Data

This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 355 (winter solstice), taking into account shading from topography and buildings, but not vegetation. This map was generated with the GRASS GIS program r.sun.

Ian Breckheimer2021
Dataset

Bare-earth Potential Solar Radiation on Day of Year 172 for the Upper East River Derived from 2018 NEON AOP Data

This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 172 (summer solstice), taking into account shading from topography and man-made structures, but not vegetation. This map was generated with the GRASS GIS program r.sun.

Ian Breckheimer2021
Dataset

Bare-earth Potential Solar Radiation on Day of Year 265 for the Upper East River Derived from 2018 NEON AOP Data

This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 265 (fall equinox), taking into account shading from topography and man-made structures, but not vegetation. This map was generated with the GRASS GIS program r.sun.

Ian Breckheimer2021
Dataset

Bare Earth Potential Solar Radiation on Day of Year 80 for the Upper East River Derived from 2018 NEON AOP Data

This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 80 (spring equinox), taking into account shading from topography and buildings, but not vegetation. This map was generated with the GRASS GIS program r.sun.

Ian Breckheimer2021
Dataset

Snow Depth on April 7th 2019 for Upper East River Derived from Airborne Snow Observatory Data

This is a 3m map of snow depth derived from repeat LiDAR data collection by the Airborne Snow Observatory. This dataset has been clipped and resampled to the standard 3m SDP grid, and is derived directly from: Painter, T. 2018. ASO L4 Lidar Snow Depth 3m UTM Grid, Version 1. Boulder, Colorado USA. N

Painter, T2021DOI: 10.5067/KIE9QNVG7HP0Cited 3 times
Dataset

Snow Depth on March 31st 2018 for Upper East River Derived from Airborne Snow Observatory Data

This is a 3m map of snow depth derived from repeat LiDAR data collection by the Airborne Snow Observatory. This dataset has been clipped and resampled to the standard 3m SDP grid, and is derived directly from: Painter, T. 2018. ASO L4 Lidar Snow Depth 3m UTM Grid, Version 1. Boulder, Colorado USA. N

Painter, T2021DOI: 10.5067/KIE9QNVG7HP0Cited 3 times
Dataset

Vegetation Structure Maps for the Upper East River Domain Derived from 2015 and 2019 LiDAR Data

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

Ian Breckheimer2021
Dataset

Winter Travel Time from Crested Butte for the Upper East River Domain

This map represents the estimated on-road and off-road travel time in minutes from Crested Butte via the fastest travel means available (snowmobiles excluded). Estimates apply for winter (snow-on) conditions. This map was generated with the cost distance GRASS GIS module (r.cost) using estimated tra

Ian Breckheimer2021
Dataset

Summer Travel Time from Gothic for the Upper East River Domain

This map represents the estimated on-road and off-road travel time in minutes from Crested Butte via the fastest travel means available (snowmobiles excluded). Estimates apply for summer (snow-off) conditions after all roads have been opened to vehicle traffic. This map was generated with the cost d

Ian Breckheimer2021
Dataset

Drone ortho basemap of the Gothic Townsite, May 25th 2019

This is a visible (RGB) orthomosaic derived from UAV imagery via Structure from Motion processing. UAV flights were performed in sunny conditions on May 25th 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 (G

Ian Breckheimer2021
Dataset

Drone ortho basemap of the Gothic Townsite, November 15th, 2019

This is a visible (RGB) orthomosaic derived from UAV imagery via Structure from Motion processing. UAV flights were performed in Sunny conditions on November 15th, 2019, collecting RGB images using the built-in camera on a DJI Mavic 2 Pro. The raw imagery had an approximately 3cm ground sample dista

Ian Breckheimer2021
Dataset

Drone ortho basemap of the Gothic Townsite, August 27th 2019

This is a visible (RGB) orthomosaic derived from UAV imagery via Structure from Motion processing. UAV flights were performed in Sunny conditions on August 27th, 2019, collecting RGB images using the built-in camera on a DJI Mavic 2 Pro. The raw imagery had an approximately 3cm ground sample distanc

Ian Breckheimer2021
Dataset

Drone ortho basemap of the Gothic Townsite, September 25th, 2019

This is a visible (RGB) orthomosaic derived from UAV imagery via Structure from Motion processing. UAV flights were performed in Sunny conditions on September 25th, 2019, collecting RGB images using the built-in camera on a DJI Mavic 2 Pro. The raw imagery had an approximately 3cm ground sample dist

Ian Breckheimer2021
Dataset

Drone ortho basemap of the Gothic Townsite, July 22nd 2019

This is a visible (RGB) orthomosaic derived from UAV imagery via Structure from Motion processing. UAV flights were performed in cloudy conditions on July 22nd, 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