91 results — topic: remote sensing

Dataset

Sindewald et al - Identifying alpine treeline species using high-resolution WorldView-3 multispectral imagery and convolutional neural networks dataset

The dataset contains region of interest (ROI) polygons for six treeline species found in Rocky Mountain National Park, CO. The tree and shrub species include limber pine (Pinus flexilis), willow (Salix glauca, Salix brachycarpa, and hybrids), Engelmann spruce (Picea engelmannii), subalpine fir (Abie

Sindewald, Laurel2025DOI: 10.5281/zenodo.14942410
Dataset

Compilation of actual evapotranspiration and vegetation indices along critical riparian zones on the Navajo Nation from 2013-2023

These data were compiled for monitoring riparian zone trends and changes in the Navajo Nation as part of a study to document riparian ecosystem health and its water use in support of potential restoration efforts. The objective of our study was to monitor the short and medium-term effects on the rip

Pamela L Nagler2025
Dataset

Sindewald et al - Identifying alpine treeline species using high-resolution WorldView-3 multispectral imagery and convolutional neural networks dataset

The dataset contains region of interest (ROI) polygons for six treeline species found in Rocky Mountain National Park, CO. The tree and shrub species include limber pine (Pinus flexilis), willow (Salix glauca, Salix brachycarpa, and hybrids), Engelmann spruce (Picea engelmannii), subalpine fir (Abie

Sindewald, Laurel2025DOI: 10.5281/zenodo.14942410
Dataset

Compilation of actual evapotranspiration and vegetation indices along critical riparian zones on the Navajo Nation from 2013-2023

These data were compiled for monitoring riparian zone trends and changes in the Navajo Nation as part of a study to document riparian ecosystem health and its water use in support of potential restoration efforts. The objective of our study was to monitor the short and medium-term effects on the rip

Pamela L Nagler2025
Dataset

SPLASH Field Study; CLAMPS2 Doppler Lidar VAD Data (NCEI Accession 0304717)

These files contain 24-hour periods of data collected from the CLAMPS2 Halo Streamline XR+ Doppler lidar. The Doppler lidar conducts regular conical scans at a set elevation angle. These data are then passed through a typical VAD algorithm to retrieve horizontal wind speed and direction profiles. Th

NCEI2025DOI: 10.25921/rpx2-t532
Dataset

SPLASH Field Study; CLAMPS2 Doppler Lidar Vertical Stare Data (NCEI Accession 0304847)

These files contain 24-hour periods of data collected from the CLAMPS2 Halo Streamline XR+ Doppler lidar. While not conducting other scans, the lidar directs the beam to zenith, allowing for the measurement of vertical velocity. These data were collected during the SPLASH project. Data collection an

NCEI2025DOI: 10.25921/0jsk-jt23
Dataset

SPLASH Field Study; NOAA PSL CL31 Ceilometer Backscatter and Cloud Base Height Data from 2021-10-21 to 2022-01-28 (NCEI Accession 0303807)

This dataset contains daily files from a CL31 ceilometer manufactured by Vaisala that was deployed at Roaring Judy in the East River Watershed in Colorado (38.7169321 N, 106.853031 W, 2494 m above mean sea level) from 21 October 2021 to 28 January 2022 as part of the National Oceanic and Atmospheric

NCEI2025DOI: 10.25921/6hnc-rh58
Dataset

SPLASH Field Study; BST/NOAA PSL Level 3 UAS Soil Moisture, Digital Elevation, Normalized Difference Vegetative Index, and Surface Temperature (NCEI Accession 0301536)

From fall 2021 through summer 2023, NOAA and research partners participated in the Study of Precipitation, the Lower Atmosphere and Surface for Hydrometeorology (SPLASH). This field study installed a comprehensive, state-of-the-art observing network in the East River watershed of the Colorado mounta

NCEI2025DOI: 10.25921/kre7-sn43
Dataset

Unoccupied Aerial System-mounted image velocimetry and Doppler velocity radar data for computation of river velocity and discharge collected at seven locations in Colorado in 2023: Discharge Measurements

This child item contains the raw acoustic Doppler velocity profiler (ADCP) measurements collected by U.S. Geological Survey (USGS) hydrographers at each site to validate Image and Radar velocimetry results. The discharge measurements were collected as part of routine and standard streamflow gaging d

Frank L Engel2024
Dataset

Unoccupied Aerial System-mounted image velocimetry and Doppler velocity radar data for computation of river velocity and discharge collected at seven locations in Colorado in 2023: Cross-Section Geometry

This child item contains bathymetric measurements of the channel geometry suitable for use in computing cross-sectional area for each field site. Each field site is abbreviated in various files in this data release. File and folder names quickly identify which site a particular file or dataset repre

Frank L Engel2024
Dataset

Unoccupied Aerial System-mounted image velocimetry and Doppler velocity radar data for computation of river velocity and discharge collected at seven locations in Colorado in 2023: Videos

This child item contains the raw videos captured by small Unoccupied Aircraft Systems (sUAS) at each field site. It also includes a summary file with metadata for each video. Each field site is abbreviated in various files in this data release. File and folder names quickly identify which site a par

Frank L Engel2024
Dataset

Unoccupied Aerial System-mounted image velocimetry and Doppler velocity radar data for computation of river velocity and discharge collected at seven locations in Colorado in 2023: Ground Control

This child item contains information about associating the calibration images and video to real-world distances using ground control points for each field site. The data included here can be used to provide a pixel ground scale distance for each video. Each field site is abbreviated in various files

Frank L Engel2024
Dataset

Unoccupied Aerial System-mounted image velocimetry and Doppler velocity radar data for computation of river velocity and discharge collected at seven locations in Colorado in 2023: Radar Spectra

This child item contains Doppler radar velocimetry spectra measurements for each field site where the radars were deployed. Each field site is abbreviated in various files in this data release. File and folder names quickly identify which site a particular file or dataset represents. The following a

Frank L Engel2024
Dataset

Unoccupied Aerial System-mounted image velocimetry and Doppler velocity radar data for computation of river velocity and discharge collected at seven locations in Colorado in 2023 (ver. 2.0, February 2026)

A series of field measurements of surface water velocity derived from video and Doppler velocity radar collected by small unoccupied aircraft systems (sUAS) and portable sensors were collected at seven locations in Colorado, USA, during the summer of 2023. The measurements were utilized to compute s

Frank Engel, John W Fulton, Carl J Legleiter2024DOI: 10.5066/p9doxmw3
Dataset

Unoccupied Aerial System-mounted image velocimetry and Doppler velocity radar data for computation of river velocity and discharge collected at seven locations in Colorado in 2023: Cross-Section Geometry

This child item contains bathymetric measurements of the channel geometry suitable for use in computing cross-sectional area for each field site. Each field site is abbreviated in various files in this data release. File and folder names quickly identify which site a particular file or dataset repre

Frank L Engel2024
Dataset

Unoccupied Aerial System-mounted image velocimetry and Doppler velocity radar data for computation of river velocity and discharge collected at seven locations in Colorado in 2023: Discharge Measurements

This child item contains the raw acoustic Doppler velocity profiler (ADCP) measurements collected by U.S. Geological Survey (USGS) hydrographers at each site to validate Image and Radar velocimetry results. The discharge measurements were collected as part of routine and standard streamflow gaging d

Frank L Engel2024
Dataset

Unoccupied Aerial System-mounted image velocimetry and Doppler velocity radar data for computation of river velocity and discharge collected at seven locations in Colorado in 2023: Videos

This child item contains the raw videos captured by small Unoccupied Aircraft Systems (sUAS) at each field site. It also includes a summary file with metadata for each video. Each field site is abbreviated in various files in this data release. File and folder names quickly identify which site a par

Frank L Engel2024
Dataset

Unoccupied Aerial System-mounted image velocimetry and Doppler velocity radar data for computation of river velocity and discharge collected at seven locations in Colorado in 2023: Ground Control

This child item contains information about associating the calibration images and video to real-world distances using ground control points for each field site. The data included here can be used to provide a pixel ground scale distance for each video. Each field site is abbreviated in various files

Frank L Engel2024
Dataset

Unoccupied Aerial System-mounted image velocimetry and Doppler velocity radar data for computation of river velocity and discharge collected at seven locations in Colorado in 2023: Radar Spectra

This child item contains Doppler radar velocimetry spectra measurements for each field site where the radars were deployed. Each field site is abbreviated in various files in this data release. File and folder names quickly identify which site a particular file or dataset represents. The following a

Frank L Engel2024
Dataset

Unoccupied Aerial System-mounted image velocimetry and Doppler velocity radar data for computation of river velocity and discharge collected at seven locations in Colorado in 2023 (ver. 2.0, February 2026)

A series of field measurements of surface water velocity derived from video and Doppler velocity radar collected by small unoccupied aircraft systems (sUAS) and portable sensors were collected at seven locations in Colorado, USA, during the summer of 2023. The measurements were utilized to compute s

Frank Engel, John W Fulton, Carl J Legleiter2024DOI: 10.5066/p9doxmw3