The U.S. Geological Survey obtained measurements of channel geometry, flow velocity, and river discharge from five rivers in Alaska September 18-20, 2016, to support research on remote sensing of river discharge. The streamflow data were acquired from the Knik, Matanuska, Chena, and Salcha Rivers and Montana Creek using TeleDyne RD Acoustic Doppler Current Profilers (ADCPs), including the RioPro, StreamPro, and RiverRay models. The original *.mmt and *.pd0 format files are provided in this data release.

The U.S. Geological Survey collected field spectra collected from three rivers in Alaska September 19-21, 2016, to support research on remote sensing of river discharge. Reflectance measurements were made from bridges across the Chena River, Salcha River, and Montana Creek using an Analytical Spectral Devices FieldSpec3 spectroradiometer operated in reflectance mode. The original *.asd files are provided in this data release.

The U.S. Geological Survey collected field spectra collected from three rivers in Alaska September 19-21, 2016, to support research on remote sensing of river discharge. Reflectance measurements were made from bridges across the Chena River, Salcha River, and Montana Creek using an Analytical Spectral Devices FieldSpec3 spectroradiometer operated in reflectance mode. The original *.asd files are provided in this data release.

This dataset provides computed remotely-sensed streamflows (RSQ) at river reaches of selected rivers in Alaska. We used the relation between water-surface elevation data derived from satellite altimetry and dynamic surface water extent data derived from LANDSAT and Sentinel imagery data with the Modified Optimized Manning Method Algorithm (MOMMA) to compute remotely sensed streamflows. Data are organized in ZIP packages named for each river reach. Reach-specific details are provided in a README file included in each river reach ZIP package. Depending on the input data available for specific reaches, we used different workflows to estimate river reach width and process the data from river reaches. Each workflow is detailed in its own metadata record (denoted in the filenames: HLS, SatTRAX, DSWE). The data filenames indicate which workflow was used and which metadata record is applicable. All three metadata records are provided for download in: "METADATA_DOWNLOAD.zip".

Relations between water-surface elevation data derived from satellite altimetry and dynamic surface water extent data derived from LANDSAT imagery data were used with a modified Manning's equation to compute remotely sensed streamflows (RSQ) at locations on the Tanana, Yukon, Susitna, Nushagak, Copper, Koyukuk and Knik Rivers in Alaska using satellite data. Data are organized into zip archives named for each study reach. Refer to the README file in each study reach archive for additional reach-specific details.

This dataset contains drainage basin boundaries for 253 U.S. Geological Survey (USGS) streamgages in Alaska that had at least 5 years of daily streamflow through September 30, 2017, three of which were delineated for alternate basin conditions. This compilation includes selected boundaries produced in 2014 (https://doi.org/10.5066/P143KNEJ). Additional basin boundaries were delineated from the streamgage location to the nearest USGS Watershed Boundary Dataset (WBD) HUC boundary and along HUC boundaries from that intersection to the basin headwaters. Streamgages selected for drainage basin delineation included streamgages in Alaska that met selection criteria for a statewide study of seasonal flow regimes (Curran and Biles, 2021). Sites for that study included USGS streamgages that had at least 5 years of daily streamflow that responded mostly to seasonal meteorological inputs, that had a definable drainage basin above a minimum size from which basin characteristics could be determined, and that provided streamflow data not similar to another streamgage record in the dataset. For three streamgages, the drainage basin boundary was delineated for the drainage area associated with regulated (diverted) or unregulated streamflow conditions contemporaneous with a period of streamflow record other than the present. Selected basins were previously published in the WBD as "NWISDrainageArea" features.

This dataset contains drainage basin boundaries for 253 U.S. Geological Survey (USGS) streamgages in Alaska that had at least 5 years of daily streamflow through September 30, 2017, three of which were delineated for alternate basin conditions. This compilation includes selected boundaries produced in 2014 (https://doi.org/10.5066/P143KNEJ). Additional basin boundaries were delineated from the streamgage location to the nearest USGS Watershed Boundary Dataset (WBD) HUC boundary and along HUC boundaries from that intersection to the basin headwaters. Streamgages selected for drainage basin delineation included streamgages in Alaska that met selection criteria for a statewide study of seasonal flow regimes (Curran and Biles, 2021). Sites for that study included USGS streamgages that had at least 5 years of daily streamflow that responded mostly to seasonal meteorological inputs, that had a definable drainage basin above a minimum size from which basin characteristics could be determined, and that provided streamflow data not similar to another streamgage record in the dataset. For three streamgages, the drainage basin boundary was delineated for the drainage area associated with regulated (diverted) or unregulated streamflow conditions contemporaneous with a period of streamflow record other than the present. Selected basins were previously published in the WBD as "NWISDrainageArea" features.

This dataset provides estimated Remote Sensing Streamflow (RSQ) data at selected river reaches in Alaska. Reach-specific relations between satellite-derived water-surface elevation data and dynamic surface water extent data were used with a modified form of the Manning's streamflow equation to estimate streamflows. The streamflow estimates were used to create rating tables that define the relation between discharge and satellite-observed water-surface elevation. The streamflow estimates in the gage_data.csv files are derived from these rating tables, interpolated using a polynomial regression equation. Data are organized in child items named for each river reach. Reach-specific details are provided in a README file contained in each child item as a Portable Document Format (PDF). A shapefile (all_sites.shp) is provided to show coordinate locations of the RSQ gage sites along with a comma separated value (CSV) formatted file (ALL_SITES_RSQ_GAGE_DATA.csv) containing all estimated records for the RSQ gage sites. A web map service of the RSQ gage site locations and attribute table is also available on this page.

The U.S. Geological Survey in collaboration with the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory (CRREL) collected topographic LiDAR surveys of four rivers in Alaska from July 24-26, 2019 to support research related to remote sensing of river discharge. Data were acquired for the Knik, Matanuska, Chena, Salcha, Tanana and Susitna Rivers using a Riegl VQ-580 LiDAR. The LiDAR was installed on a Robinson R44 Raven helicopter in a HeliPod that was designed and operated by CRREL. The LiDAR data included as part of this release include: a bare earth digital elevation model (DEM) in GeoTiff format and lidar point files in laz format for each river surveyed. Additionally, CRREL reports for each river surveyed are included as part of this data release. Several imagery data sets were collected coincident with the lidar surveys but will be part of a separate data release.

The U.S. Geological Survey in collaboration with the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory (CRREL) collected topographic LiDAR surveys of six rivers in Alaska from August 27- September 1, 2018 to support research related to remote sensing of river discharge. Data were acquired for the Knik, Matanuska, Chena, Salcha, Tanana and Snow Rivers using a Riegl VQ-480 LiDAR. The LiDAR was installed on a Robinson R44 Raven helicopter in a HeliPod that was designed and operated by CRREL. The LiDAR data included as part of this release include: a bare earth digital elevation model (DEM) and compressed binary LAS point cloud files (LAZ format) for each river surveyed.