663 results — topic: Hydrology & Watersheds

Dataset

Groundwater level elevation and temperature at the Lower Montane in the East River Watershed, Colorado.

This groundwater level elevation and temperature data package is aimed at improving the predictive understanding of hydro-biogeochemical processes at the lower montane site in the East River Watershed, Colorado. The dataset is obtained using pressure transducers placed in shallow wells in the floodp

Dafflon B, Dwivedi D2021DOI: 10.15485/1647040Cited 1 times
Dataset

Time-domain reflectometer survey across the East River Watershed, Colorado.

Lawrence Berkeley National Laboratory (LBNL) collected near-surface point-measurements of soil temperature (file variable TDR_T(C)), volumetric water content (file variable TDR_SM(VWC%)), and soil electrical conductivity (file variable TDR_EC(mS/m)) using a time-domain reflectometer (TDR) at a depth

Falco N, Dafflon B, Devadoss J2021DOI: 10.15485/1648526
Dataset

Total Dissolved Nitrogen and Ammonia Data for the East River Watershed, Colorado (2015-2022)

This data package contains mean values for total dissolved nitrogen (TDN) and ammonia concentrations for water samples taken from the East River Watershed in Colorado. The East River is part of the Watershed Function Scientific Focus Area (WFSFA) located in the Upper Colorado River Basin, United Sta

Dong W, Beutler C, Bouskill N2021DOI: 10.15485/1660456
Dataset

Soil Environmental Conditions in the East River Watershed, CO.

This dataset contains depth-resolved soil environmental variables collected between June 2016 and October 2018 from the Bradley Meadow site in the East River watershed. Datalogger output from 7 Campbell CS655 12 cm Soil Moisture and Temperature Sensors including depth, temperature, volumetric water

Winnick M, Lawrence C, Maher K2021DOI: 10.15485/1660455
Dataset

Dissolved Inorganic Carbon and Dissolved Organic Carbon Data for the East River Watershed, Colorado (2015-2021)

This data package contains mean values for dissolved organic carbon (DOC) and dissolved inorganic carbon (DIC) for water samples taken from the East River Watershed in Colorado. The East River is part of the Watershed Function Scientific Focus Area (WFSFA) located in the Upper Colorado River Basin,

Dong W, Beutler C, Brown W2021DOI: 10.15485/1660459Cited 2 times
Dataset

Soil bulk density and texture data collected during field survey associated with NEON AOP survey, East River, CO 2018.

The purpose of soil core sampling was to determine soil bulk density, volumetric water content, and soil texture across the sites that were sampled in association with the National Ecological Observatory Network's Airborne Observation Platform (NEON AOP) in 2018. Soil cores were collected from surfa

Chadwick K D, Pierce S, Sirles M2021DOI: 10.15485/1671826
Dataset

Shale drilling field notes, lithologic descriptions, and core photographs of wells PLM5, PLM8, GUM1, and GLS1 at the East River Watershed, Colorado.

The purpose of this dataset is to maintain a record of the shale drilling field notes, lithologic descriptions, and core photographs taken at the PLM5 (Pumphouse Lower Montane Borehole #5), PLM8 (Pumphouse Lower Montane Borehole #8), GUM1 (Gothic Upper Montane Borehole #1), and GLS1 (GLS1 = Gothic L

Williams K H, Newman A2021DOI: 10.15485/1701756
Dataset

Modeling the impact of riparian hollows on river corridor nitrogen exports

This package contains all reactive transport simulation outputs used in "Modeling the impact of riparian hollows on river corridor nitrogen exports" (Rogers, D.B., et al., 2021). The simulation outputs reflect hydrological and biogeochemical behavior of a single, generalized riparian hollow located

Rogers D B, Newcomer M, Raberg J2021DOI: 10.15485/1734795
Dataset

NEON AOP foliar trait maps, maps of model uncertainty estimates, and conifer map, East River, CO 2018.

This data package contains mapped trait estimates and their uncertainties, and conifer map, for the National Ecological Observatory Network's Airborne Observation Platform survey data acquired over the Upper East River, Colorado in 2018. For full details, please see associated reference. in brief, t

Chadwick K D, Brodrick P, Grant K2021DOI: 10.15485/1618133
Dataset

Unsaturated and Saturated Hydraulic Parameters of Soils at the East River Watershed, Colorado Calculated using the Pedotransfer Function Method

The purpose of the data package is to present the results of calculations of the following unsaturated-saturated hydraulic parameters of soils of the East River Watershed, Colorado: fully saturated water content (Qs), residual saturation (Qr), van genuchten parameters alpha and n, field capacity (FC

Faybishenko B2021DOI: 10.15485/1734577Cited 2 times
Dataset

1 m Resolution Multiscale Height-above-stream Wetness Index for the Upper Gunnison Domain

This map is a soil moisture proxy derived from analysis of the UG 1m hydrologically corrected digital elevation model. The intuition behind this map is that areas that have flat topography and are near the elevation of local streams are likely to have high soil moisture. This index builds on the wor

Nobre, A. D., Cuartas, L. A., Hodnett2021
Dataset

1 m Resolution 4-band orthomosaic for the Upper Gunnison Basin derived from September 2019 NAIP Imagery

This is a 1m resolution aerial imagery orthomosaic resampled from 0.6m 4-band orthoimagery collected on September 14th 2019 as part of the USDA National Aerial Imagery Program. The original NAIP tiles were reprojected, mosaiced and bilinearly resampled to the standard UG 1m grid, and compressed usin

Ian Breckheimer2021
Dataset

1 m Resolution NDVI for the Upper Gunnison Basin derived from September 2019 NAIP Imagery

This is a 1m resolution map of Normalized Differential Vegetation Index (NDVI) derived from resampled 0.6m 4-band orthoimagery collected as part of the USDA National Aerial Imagery Program. The NAIP tiles were mosaiced and bilinearly resampled to the standard UG 1m grid before calculating NDVI as (N

Ian Breckheimer2021
Dataset

1 m Resolution 4-band orthoimagery for the Upper Gunnison Basin derived from October 2017 NAIP imagery

This is a 1m resolution map of Normalized Differential Vegetation Index (NDVI) derived from resampled 0.6m 4-band orthoimagery collected as part of the USDA National Aerial Imagery Program. The NAIP tiles were mosaiced and bilinearly resampled to the standard UG 1m grid before calculating NDVI as (N

Ian Breckheimer2021
Dataset

1m Resolution NDVI for the Upper Gunnison Basin derived from October 2017 NAIP Imagery

This is a 1m resolution map of Normalized Differential Vegetation Index (NDVI) derived from resampled 0.6m 4-band orthoimagery collected as part of the USDA National Aerial Imagery Program. The NAIP tiles were mosaiced and bilinearly resampled to the standard UG 1m grid before calculating NDVI as (N

Ian Breckheimer2021
Dataset

Mask for the Upper Gunnison SDP Domain at 3 m resolution

This is a 3m resolution binary map representing areas within the Upper Gunnison Domain of the RMBL Spatial Data Platform.

Ian Breckheimer2021
Dataset

Mask for the Upper Gunnison SDP Domain at 1m resolution

This is a 1m resolution binary map representing areas within the Upper Gunnison Domain of the RMBL Spatial Data Platform.

Ian Breckheimer2021
Dataset

1 m Resolution Basic Landcover Map for the Upper Gunnison Domain Derived from NAIP Imagery and LiDAR

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

Ian Breckheimer2021
Dataset

1 m Resolution topographic slope for the Upper Gunnison Basin derived from 2015 and 2019 LiDAR data.

This is a 1 m resolution map of topographic slope (measured in degrees) computed using a 3*3 pixel kernel and Horn's formula. It is derived from a 1m resolution Digital Elevation Model (DEM) for the Upper Gunnison River derived from public LiDAR datasets. The primary data source was a 2019 LiDAR col

Ian Breckheimer2021
Dataset

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

This is a 1 m resolution map of the relative "westness" of topographic aspect, computed from the cosine of the topographic aspect using the equation: cos(aspect_radians) * -1 Where the aspect is computed clockwise with east having a value of 0. In this map, east-facing aspects have a value of -1 and

Ian Breckheimer2021