Joe Adams is a IT Specialist & Remote Pilot at the National Unmanned Aircraft Systems Project Office in the Geosciences and Environmental Change Science Center.
Science and Products
6th Federal UxS Workshop
6th Federal UxS Workshop SAVE THE DATE! September 10-12, 2024 Southwestern Indian Polytechnic Institute Albuquerque, NM
Characterizing high-resolution soil burn severity, erosion risk, and recovery using Uncrewed Aerial Systems (UAS)
The western United States is experiencing severe wildfires whose observed impacts, including post-wildfire floods and debris flows, appear to be increasing over time.
National Uncrewed Systems Office
The U.S. Geological Survey (USGS) National Uncrewed Systems Office (NUSO) leads the research activities needed to make Uncrewed Aircraft Systems (UAS) data collection an efficient, safe, and cost-effective remote sensing tool for Department of the Interior (DOI) and USGS scientists. DOI manages over 20 percent of the Nation’s public lands and is responsible for migratory bird and wildlife...
Lidar Point Clouds (LPCs), Digital Elevation Models (DEMs), and Snow Depth Raster Maps Derived from Lidar Data Collected on Small, Uncrewed Aircraft Systems in the Upper Colorado River Basin, Colorado, 2020-22
This data release consists of three child items distinguishing the following types of data: light detection and ranging (lidar) point clouds (LPCs), digital elevation models (DEMs), and snow depth raster maps. These three data types are all derived from lidar data collected on small, uncrewed aircraft systems (sUAS) at study areas in the Upper Colorado River Basin, Colorado, from 2020 to 2022. The
Erosion rates and salinity and selenium yields in a basin near Rangely, Colorado following the 2017 Dead Dog wildfire as modeled by WEPP and measured from UAV
This data release accompanies a U.S Geological Survey study that assessed sediment, salinity, and selenium yields following the Dead Dog wildfire in northwestern Colorado. The Dead Dog fire ignited on June 11, 2017, near Rangely, Colorado, and burned over 17,000 acres, including the B2 study area. Two methodologies were used to quantify erosion and associated salinity and sediment yields in the B2
Colorado River at Windy Gap near Granby, CO - 2021/07/27 Water Surface Velocity Map Using Particle Image Velocimetry
The dataset consists of a shapefile of measurements of surface velocity magnitude and direction at the Colorado River at Windy Gap near Granby, CO, on July 27, 2021. The dataset contains approximately 1 km of river length. The surface velocity measurements were made by applying Large-Scale Particle Image Velocimetry (LSPIV) techniques, using overlapping videos collected by small Unmanned Aircraft
Walrus Haulout Aerial Survey Data Near Point Lay Alaska, Autumn 2018 and 2019
This dataset consists of the complete set of aerial imagery and data from walrus haulouts collected by unoccupied aerial system (UAS) surveys near Pt. Lay, Alaska, during the autumns of 2018 and 2019. The data include: 1) georeferenced digital aerial imagery and flight logs from UAS surveys, and 2) orthoimages derived from the aerial imagery and flight logs by standardized structure from motion al
Orthoimagery, digital elevation, digital terrain, final surface, and vegetation classification models for four stream catchments in western Colorado 2016
Unmanned Aerial System (UAS) flights were conducted over four stream catchments in Rio Blanco County, Colorado, during the summer of 2016. Two sties had active oil and gas operations within the basin whereas the other two sites did not. Structure from motion (SfM) was used to align raw images and create a dense point cloud, georectified orthoimage, and Digital Elevation Model (DEM) for each basin.
Walrus Haulout Outlines and Count Data Apparent from Aerial Survey Images Collected Near Point Lay Alaska, Autumn 2018 and 2019
This dataset provides walrus haulout group outlines, systematic grids cast over the outlines, and digitized points at the centroids of the individual walruses identified inside a randomly selected subset of grid cells. These data are based on visual interpretation of unpublished imagery from 26 aerial surveys by an Unoccupied Aerial System (UAS) operated by the U.S. Geological Survey, Alaska Scien
Low-altitude visible and multispectral imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Ohio Surface Water 1
These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the t
Orthoimagery and elevation data derived from UAS imagery for Palmyra Atoll, USA 2016 (ver. 1.1, November 2020)
Point clouds, high resolution digital surface models (DSM), and high resolution orthoimagery of Palmyra Atoll, USA, were generated from aerial 3-color and 5-band imagery collected October 2016 using Unoccupied Aerial Systems (UAS, or "drones"). Data were processed in sections corresponsing to flight areas using photogrammetry to generate three-dimensional point clouds (.las) by identifying pixels
Thermal infrared, multispectral, and photogrammetric data collected by drone for hydrogeologic analysis of the East River and Coal Creek beaver-impacted corridors near Crested Butte, Colorado
The U.S. Geological Survey collected low-altitude (typically 200-350 ft als) airborne thermal infrared, multispectral, and visual imagery data via a multirotor, small unoccupied aircraft system deployed along beaver-impacted sections of the East River and Coal Creek stream corridors, near the town of Crested Butte, CO. Visual imagery was collected in jpg format, and the images were compiled automa
QCam: sUAS-based doppler radar for measuring river discharge
The U.S. Geological Survey is actively investigating remote sensing of surface velocity and river discharge (discharge) from satellite-, high altitude-, small, unmanned aircraft systems- (sUAS or drone), and permanent (fixed) deployments. This initiative is important in ungaged basins and river reaches that lack the infrastructure to deploy conventional streamgaging equipment. By coupling alternat
Authors
John W. Fulton, Isaac E. Anderson, C.-L. Chiu, Wolfram Sommer, Josip Adams, Tommaso Moramarco, David M. Bjerklie, Janice M. Fulford, Jeff L. Sloan, Heather Best, Jeffrey S. Conaway, Michelle J. Kang, Michael S. Kohn, Matthew J. Nicotra, Jeremy J. Pulli
Science and Products
- Science
6th Federal UxS Workshop
6th Federal UxS Workshop SAVE THE DATE! September 10-12, 2024 Southwestern Indian Polytechnic Institute Albuquerque, NMCharacterizing high-resolution soil burn severity, erosion risk, and recovery using Uncrewed Aerial Systems (UAS)
The western United States is experiencing severe wildfires whose observed impacts, including post-wildfire floods and debris flows, appear to be increasing over time.National Uncrewed Systems Office
The U.S. Geological Survey (USGS) National Uncrewed Systems Office (NUSO) leads the research activities needed to make Uncrewed Aircraft Systems (UAS) data collection an efficient, safe, and cost-effective remote sensing tool for Department of the Interior (DOI) and USGS scientists. DOI manages over 20 percent of the Nation’s public lands and is responsible for migratory bird and wildlife... - Data
Lidar Point Clouds (LPCs), Digital Elevation Models (DEMs), and Snow Depth Raster Maps Derived from Lidar Data Collected on Small, Uncrewed Aircraft Systems in the Upper Colorado River Basin, Colorado, 2020-22
This data release consists of three child items distinguishing the following types of data: light detection and ranging (lidar) point clouds (LPCs), digital elevation models (DEMs), and snow depth raster maps. These three data types are all derived from lidar data collected on small, uncrewed aircraft systems (sUAS) at study areas in the Upper Colorado River Basin, Colorado, from 2020 to 2022. TheErosion rates and salinity and selenium yields in a basin near Rangely, Colorado following the 2017 Dead Dog wildfire as modeled by WEPP and measured from UAV
This data release accompanies a U.S Geological Survey study that assessed sediment, salinity, and selenium yields following the Dead Dog wildfire in northwestern Colorado. The Dead Dog fire ignited on June 11, 2017, near Rangely, Colorado, and burned over 17,000 acres, including the B2 study area. Two methodologies were used to quantify erosion and associated salinity and sediment yields in the B2Colorado River at Windy Gap near Granby, CO - 2021/07/27 Water Surface Velocity Map Using Particle Image Velocimetry
The dataset consists of a shapefile of measurements of surface velocity magnitude and direction at the Colorado River at Windy Gap near Granby, CO, on July 27, 2021. The dataset contains approximately 1 km of river length. The surface velocity measurements were made by applying Large-Scale Particle Image Velocimetry (LSPIV) techniques, using overlapping videos collected by small Unmanned AircraftWalrus Haulout Aerial Survey Data Near Point Lay Alaska, Autumn 2018 and 2019
This dataset consists of the complete set of aerial imagery and data from walrus haulouts collected by unoccupied aerial system (UAS) surveys near Pt. Lay, Alaska, during the autumns of 2018 and 2019. The data include: 1) georeferenced digital aerial imagery and flight logs from UAS surveys, and 2) orthoimages derived from the aerial imagery and flight logs by standardized structure from motion alOrthoimagery, digital elevation, digital terrain, final surface, and vegetation classification models for four stream catchments in western Colorado 2016
Unmanned Aerial System (UAS) flights were conducted over four stream catchments in Rio Blanco County, Colorado, during the summer of 2016. Two sties had active oil and gas operations within the basin whereas the other two sites did not. Structure from motion (SfM) was used to align raw images and create a dense point cloud, georectified orthoimage, and Digital Elevation Model (DEM) for each basin.Walrus Haulout Outlines and Count Data Apparent from Aerial Survey Images Collected Near Point Lay Alaska, Autumn 2018 and 2019
This dataset provides walrus haulout group outlines, systematic grids cast over the outlines, and digitized points at the centroids of the individual walruses identified inside a randomly selected subset of grid cells. These data are based on visual interpretation of unpublished imagery from 26 aerial surveys by an Unoccupied Aerial System (UAS) operated by the U.S. Geological Survey, Alaska ScienLow-altitude visible and multispectral imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Ohio Surface Water 1
These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tOrthoimagery and elevation data derived from UAS imagery for Palmyra Atoll, USA 2016 (ver. 1.1, November 2020)
Point clouds, high resolution digital surface models (DSM), and high resolution orthoimagery of Palmyra Atoll, USA, were generated from aerial 3-color and 5-band imagery collected October 2016 using Unoccupied Aerial Systems (UAS, or "drones"). Data were processed in sections corresponsing to flight areas using photogrammetry to generate three-dimensional point clouds (.las) by identifying pixelsThermal infrared, multispectral, and photogrammetric data collected by drone for hydrogeologic analysis of the East River and Coal Creek beaver-impacted corridors near Crested Butte, Colorado
The U.S. Geological Survey collected low-altitude (typically 200-350 ft als) airborne thermal infrared, multispectral, and visual imagery data via a multirotor, small unoccupied aircraft system deployed along beaver-impacted sections of the East River and Coal Creek stream corridors, near the town of Crested Butte, CO. Visual imagery was collected in jpg format, and the images were compiled automa - Multimedia
- Publications
QCam: sUAS-based doppler radar for measuring river discharge
The U.S. Geological Survey is actively investigating remote sensing of surface velocity and river discharge (discharge) from satellite-, high altitude-, small, unmanned aircraft systems- (sUAS or drone), and permanent (fixed) deployments. This initiative is important in ungaged basins and river reaches that lack the infrastructure to deploy conventional streamgaging equipment. By coupling alternatAuthorsJohn W. Fulton, Isaac E. Anderson, C.-L. Chiu, Wolfram Sommer, Josip Adams, Tommaso Moramarco, David M. Bjerklie, Janice M. Fulford, Jeff L. Sloan, Heather Best, Jeffrey S. Conaway, Michelle J. Kang, Michael S. Kohn, Matthew J. Nicotra, Jeremy J. Pulli - News