New Article: Drone-based radiometric surveys provide high-resolution mine waste characterization
New research article: evaluating radiometric calibration and data quality of spectral UAS sensors
Using uncrewed aircraft systems to assess landslide damage after Hurricane Helene
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.
Technology Research
Research Missions
New and Noteworthy
November 1, 2025
Drone-based radiometric surveys provide high-resolution mine waste characterization
What We Do
We focus on the evaluation of new platforms, integration of new UAS-compatible sensors, development of data specifications and processing techniques, recommendations of UAS data acquisition best-practices, and operational support for new and existing DOI remote pilots.
Who We Are
We are a team of platform and UAS-compatible sensor subject matter experts that, in addition to research, provide operational support to DOI remote pilots and outreach to federal, public, and international audiences. Our office, established on May 8th, 2008, operates as part of the National Land Imaging Program, and contributes to its goal to provide the Federal Government and the public with the remotely sensed data and applications needed to support our Nation’s economic security and environmental vitality.
Products listed below were supported through the use of UAS technologies and resources at USGS.
Remotely sensed data from a reach of the Sacramento River near Glenn, California, used to perform Particle Image Velocimetry (PIV) within the Robot Operating System (ROS) Remotely sensed data from a reach of the Sacramento River near Glenn, California, used to perform Particle Image Velocimetry (PIV) within the Robot Operating System (ROS)
Multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, acquired September 14-16, 2021 Multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, acquired September 14-16, 2021
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 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
Topographic and multispectral reflectance products, aerial imagery, spectral reflectance profiles, vegetation surveys, and associated GPS data collected during uncrewed aircraft system (UAS) operations: Assateague Island National Seashore, Maryland, Octob Topographic and multispectral reflectance products, aerial imagery, spectral reflectance profiles, vegetation surveys, and associated GPS data collected during uncrewed aircraft system (UAS) operations: Assateague Island National Seashore, Maryland, Octob
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 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
Aerial imagery and structure-from-motion data products from UAS surveys of the beaches at Fort Stevens State Park, OR, and Cape Disappointment State Park, WA Aerial imagery and structure-from-motion data products from UAS surveys of the beaches at Fort Stevens State Park, OR, and Cape Disappointment State Park, WA
Products listed below were supported through the use of UAS technologies and resources at USGS.
U.S. Geological Survey Unmanned Aircraft Systems (UAS) Roadmap 2014 U.S. Geological Survey Unmanned Aircraft Systems (UAS) Roadmap 2014
Quantifying plant-soil-nutrient dynamics in rangelands: Fusion of UAV hyperspectral-LiDAR, UAV multispectral-photogrammetry, and ground-based LiDAR-digital photography in a shrub-encroached desert grassland Quantifying plant-soil-nutrient dynamics in rangelands: Fusion of UAV hyperspectral-LiDAR, UAV multispectral-photogrammetry, and ground-based LiDAR-digital photography in a shrub-encroached desert grassland
Small atoll fresh groundwater lenses respond to a combination of natural climatic cycles and human modified geology Small atoll fresh groundwater lenses respond to a combination of natural climatic cycles and human modified geology
QCam: sUAS-based doppler radar for measuring river discharge QCam: sUAS-based doppler radar for measuring river discharge
From lava to water: A new era at Kīlauea From lava to water: A new era at Kīlauea
Predicting bird guilds using vegetation composition and structure on a wild and scenic river in Arizona Predicting bird guilds using vegetation composition and structure on a wild and scenic river in Arizona
Ultra‐high‐resolution mapping of biocrusts with Unmanned Aerial Systems Ultra‐high‐resolution mapping of biocrusts with Unmanned Aerial Systems
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.
Technology Research
Research Missions
New and Noteworthy
November 1, 2025
Drone-based radiometric surveys provide high-resolution mine waste characterization
What We Do
We focus on the evaluation of new platforms, integration of new UAS-compatible sensors, development of data specifications and processing techniques, recommendations of UAS data acquisition best-practices, and operational support for new and existing DOI remote pilots.
Who We Are
We are a team of platform and UAS-compatible sensor subject matter experts that, in addition to research, provide operational support to DOI remote pilots and outreach to federal, public, and international audiences. Our office, established on May 8th, 2008, operates as part of the National Land Imaging Program, and contributes to its goal to provide the Federal Government and the public with the remotely sensed data and applications needed to support our Nation’s economic security and environmental vitality.
Products listed below were supported through the use of UAS technologies and resources at USGS.
Remotely sensed data from a reach of the Sacramento River near Glenn, California, used to perform Particle Image Velocimetry (PIV) within the Robot Operating System (ROS) Remotely sensed data from a reach of the Sacramento River near Glenn, California, used to perform Particle Image Velocimetry (PIV) within the Robot Operating System (ROS)
Multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, acquired September 14-16, 2021 Multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, acquired September 14-16, 2021
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 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
Topographic and multispectral reflectance products, aerial imagery, spectral reflectance profiles, vegetation surveys, and associated GPS data collected during uncrewed aircraft system (UAS) operations: Assateague Island National Seashore, Maryland, Octob Topographic and multispectral reflectance products, aerial imagery, spectral reflectance profiles, vegetation surveys, and associated GPS data collected during uncrewed aircraft system (UAS) operations: Assateague Island National Seashore, Maryland, Octob
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 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
Aerial imagery and structure-from-motion data products from UAS surveys of the beaches at Fort Stevens State Park, OR, and Cape Disappointment State Park, WA Aerial imagery and structure-from-motion data products from UAS surveys of the beaches at Fort Stevens State Park, OR, and Cape Disappointment State Park, WA
Products listed below were supported through the use of UAS technologies and resources at USGS.