1,199 results — topic: Hydrology & Watersheds

Dataset

1 m Resolution WGS84 UTM Zone 13N Y Coordinate for the Upper Gunnison Domain

This map records the UTM Y Coordinate (in meters) for every pixel in the Upper Gunnison Domain, as measured using the WGS84 UTM Zone 13N Coordinate System (EPSG:32613). This map is useful for spatial prediction in models that explicitly incorporate geographic relationships, such as regression models

Ian Breckheimer2021
Dataset

1 m Resolution topographic aspect "southness" for the Upper Gunnison Basin derived from 2015 and 2019 LiDAR

This is a 1 m resolution map of the relative "southness" of topographic aspect, computed from the cosine of the topographic aspect using the equation: cos(aspect_radians) * -1 North-facing aspects have a value of -1 and south-facing aspects have a value of 1. East and west-facing aspects have a valu

Ian Breckheimer2021
Dataset

1 m Resolution WGS84 UTM Zone 13N X Coordinate for the Upper Gunnison Domain

This map records the UTM X Coordinate (measured in meters) for every pixel in the Upper Gunnison Domain, as measured using the WGS84 UTM Zone 13N Coordinate System (EPSG:32613). This map is useful for spatial prediction in models that explicitly incorporate geographic relationships, such as regressi

Ian Breckheimer2021
Dataset

3 m Resolution Canopy Cover Estimates for the Upper Gunnison Basin derived from 2015 and 2019 LiDAR Data

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

Ian Breckheimer2021
Dataset

3 m Resolution 80th Percentile Canopy Height Estimates for the Upper Gunnison Basin Derived from 2015 and 2019 LIDAR Data

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

Ian Breckheimer2021
Dataset

3 m Resolution 20th Percentile Canopy Height Estimates for the Upper Gunnison Basin derived from 2015 and 2019 LiDAR Data

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

Ian Breckheimer2021
Dataset

1 m Resolution Canopy Height Estimates for the Upper Gunnison Basin derived from 2015 and 2019 LiDAR Data

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

Ian Breckheimer2021
Dataset

3 m Resolution Understory Cover for the Upper Gunnison Basin derived from 2015 and 2019 LiDAR Data

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

Ian Breckheimer2021
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
Document

Letter to Gunnison County Commissioners: Concerns for Rice Application Land Use Change- impacts to Slate River

Alison Maynard. May 11, 1995.

1995gunnison_basin
Document

Ichthyofaunal Studies of the Gunnison River, Colorado

Bob D. Burdick. Fish and Wildlife. December 1, 1995.

1995gunnison_basin
Article

Watering the Land: The Colorado River Project

Research Article| October 01 1993 Watering the Land: The Colorado River Project Kevin Starr Kevin Starr Search for other works by this author on: This Site PubMed Google Scholar Southern California Quarterly (1993) 75 (3-4): 303–332. https://doi.org/10.2307/41171683 Views Icon Views Article contents

Starr Kevin1993Southern California QuarterlyDOI: 10.2307/41171683Cited 1 times
Article

APPLICATIONS OF A GIS FOR MODELING THE SENSITIVITY OF WATER RESOURCES TO ALTERATIONS IN CLIMATE IN THE GUNNISON RIVER BASIN, COLORADO<sup>1</sup>

ABSTRACT: The Gunnison River drains a mountainous basin in western Colorado, and is a large contributor of water to the Colorado River. As part of a study to assess water resource sensitivity to alterations in climate in the Gunnison River basin, climatic and hydrologic processes are being modeled.

Battaglin William A., Hay Lauren E., Parker Randolph S.1993JAWRA Journal of the American Water Resources AssociationDOI: 10.1111/j.1752-1688.1993.tb03265.xCited 16 times
Student Paper

The use of Bayesian foraging to evaluate novelty by <i>T. minimus</i> and <i>S. lateralis</i>

Strickland T. A.1993
Student Paper

Use of macroinvertebrates to assess water quality at three sites along the East River

Hall A.1993
Student Paper

The BLM’s restoration of a braided reach of the Slate River: “If you’re gonna do it, do it right.”

Benson A., Odell E., Rustigian H.1993
Student Paper

A proposal for monitoring the East River

Bihr K. J., Hall A., Rideout C.1993
Article

Vascular Plants of the Gothic Area

Buck P., Frase B. A.1993