The sensor ensemble (DEbris and Floodflow Early warNing System, DEFENS) was deployed in Waldo Canyon, Pike National Forest, Colorado, which was burned during the Waldo Canyon fire in the summer of 2012. The ensemble consists of noncontact, ground-based (near-field), Doppler velocity (velocity) and pulsed (stage or gage height) radars, rain gages, and a redundant radio communication network. This ensemble of instruments was used to calculate stream channel characteristics derived from light detection and ranging (lidar) data. These data were leveraged to predict mean channel velocities based on Manning's equation, which were needed to compute the kinematic celerity and uncertainties and include water level, cross-sectional area, mean-channel velocity, and discharge. Surface velocity, stage, and precipitation time-series data collected during the field deployment on 10 August, 2015 were used to validate this novel method for predicting flood wave velocities and travel times as a function of stream discharge.

Light Detection and Ranging (LIDAR) was conducted in the vicinity of USGS gaging station #07094500 on the Arkansas River at Parkdale, Colorado, were collected on March 19-20, 2018, using a terrestrial laser scanner. Data were processed to generate classified a three-dimensional point cloud of the floodplain topography.

Light Detection and Ranging (LIDAR) was conducted in the vicinity of USGS gaging station #07094500 on the Arkansas River at Parkdale, Colorado, were collected on March 19-20, 2018, using a terrestrial laser scanner. Data were processed to generate classified a three-dimensional point cloud of the floodplain topography.

The U.S. Geological Survey (USGS) installed and operated several flood and debris flow warning gages within or downstream from the Spring Creek burn scar, Colorado, U.S.A. The warning gages were operated during several years post fire (2019-21) in cooperation with the Colorado Department of Transportation (CDOT). The USGS warning gages were part of a larger post-wildfire hydrometeorological observatory, comprised of both remote-sensing and in-situ instrumentation. In-situ measurements of precipitation, river surface velocity, and river stage measurements collected at USGS warning gages during select storms in 2019 and 2021 are presented in this data release. These data were used to validate estimates of rainfall accumulation from the National Severe Storms Laboratory’s mobile, X-band weather radar (NOXP) and to evaluate lag times between high intensity precipitation and peak flooding. Gages were designed to provide advanced warning of hydrologic hazards at key points that could affect CDOT infrastructure (particularly where roads crossed over rivers). USGS warning gages also provided advanced warning of hydrologic hazards to the Pueblo Weather Forecast Office, local Emergency Managers (Huerfano County, CO), and residents in the immediate area.

These data consist of rectified aerial photographs, measurements of active channel width, measurements of river and floodplain bathymetry and topography, and ancillary data. These data are specific to the corridor of the Colorado River in Canyonlands National Park between Potash, Utah and the confluence of the Green and Colorado Rivers near Spanish Bottom, Utah. The time period for these data are 1940 to 2018. The shapefile data are measurements of features of the active river channel and floodplains of the Colorado River. The raster data are aerial images and digital elevation models (DEMs) for segments of the Colorado River in Canyonlands National Park, Utah. The aerial images depict the river channel and adjacent floodplains for most of the corridor of the Colorado River in Canyonlands National Park upstream from the confluence with the Green River. The images were acquired from public sources and orthorectified and mosaiced for this study. The DEMs cover the river channel and adjacent floodplain for the Lockhart Creek segment of the Colorado River within Canyonlands National Park and include both bathymetric and topographic data. The bathymetric data were collected by the U.S. Geological Survey Grand Canyon Monitoring and Research Center with funding provided by the National Park Service. The topographic data are airborne lidar data that were collected for the state of Utah by a contractor. The lidar data are available at https://doi.org/10.5069/G9RV0KSQ.

These data consist of rectified aerial photographs, measurements of active channel width, measurements of river and floodplain bathymetry and topography, and ancillary data. These data are specific to the corridor of the Colorado River in Canyonlands National Park between Potash, Utah and the confluence of the Green and Colorado Rivers near Spanish Bottom, Utah. The time period for these data are 1940 to 2018. The shapefile data are measurements of features of the active river channel and floodplains of the Colorado River. The raster data are aerial images and digital elevation models (DEMs) for segments of the Colorado River in Canyonlands National Park, Utah. The aerial images depict the river channel and adjacent floodplains for most of the corridor of the Colorado River in Canyonlands National Park upstream from the confluence with the Green River. The images were acquired from public sources and orthorectified and mosaiced for this study. The DEMs cover the river channel and adjacent floodplain for the Lockhart Creek segment of the Colorado River within Canyonlands National Park and include both bathymetric and topographic data. The bathymetric data were collected by the U.S. Geological Survey Grand Canyon Monitoring and Research Center with funding provided by the National Park Service. The topographic data are airborne lidar data that were collected for the state of Utah by a contractor. The lidar data are available at https://doi.org/10.5069/G9RV0KSQ.

These data include image-based classifications of total vegetation from 1965, 1973, 1984, 1992, 2002, 2004, 2005, and 2009, and characteristics of the river channel along the riparian area of the Colorado River between Glen Canyon Dam and Lake Mead Reservoir.

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 in this data release. File and folder names quickly identify which site a particular file or dataset represents. The following abbreviations are used:

• ACS: Anthracite Creek at Somerset, Colorado, USA
• BRA: Blue River below Dillon, Colorado, USA (collected in August 2023)
• BRJ: Blue River below Dillon, Colorado, USA (collected in June 2023)
• CRG: Colorado River below Glenwood Springs, Colorado, USA
• CRR: Colorado River above Roaring Fork River at Glenwood Springs, Colorado, USA
• MCA: Maroon Creek near Aspen, Colorado, USA

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 in this data release. File and folder names quickly identify which site a particular file or dataset represents. The following abbreviations are used:

• ACS: Anthracite Creek at Somerset, Colorado, USA
• BRA: Blue River below Dillon, Colorado, USA (collected in August 2023)
• BRJ: Blue River below Dillon, Colorado, USA (collected in June 2023)
• CRG: Colorado River below Glenwood Springs, Colorado, USA
• CRR: Colorado River above Roaring Fork River at Glenwood Springs, Colorado, USA
• ERW: Eagle River below Milk Creek near Wolcott, Colorado, USA
• MCA: Maroon Creek near Aspen, Colorado, USA
• RFG: Roaring Fork at Glenwood Springs, Colorado, USA