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Federal
RESTORE Sponsored Research Project: Protecting Texas coastlines from potential oil spills in Galveston Bay using drone surveys and maps of a new response effectiveness index
National Oceanic and Atmospheric Administration, Department of Commerce —
Galveston Bay and the surrounding Texas coast are vulnerable to marine oil spills, from both the high volume of marine commerce through the Galveston Bay ship channel... -
Federal
Geotagged Low-Altitude Aerial Imagery From Unmanned Aerial Systems Flights Over Town Neck Beach, in Sandwich, Massachusetts, on April 28, 2017
Department of the Interior —
Low-altitude (80-100 meters above ground level) digital images of Town Neck Beach in Sandwich, Massachusetts, were obtained from a camera mounted on a small unmanned... -
Federal
Peleliu's Forgotten WWII Battlefield
National Oceanic and Atmospheric Administration, Department of Commerce —
The science team revisited or located 100 sites that represent both WWII specific remains and modern debris (Appendix 3.1). The terrestrial survey inshore of the... -
Federal
Drones Minimize Antarctic Predator Responses Relative to Ground Survey Methods
National Oceanic and Atmospheric Administration, Department of Commerce —
The entire data set of behavioral response scores and covariates described in the following publication (attached as Supplementary Data Table 1): Krause, D.J., J.T.... -
University
Poudre River at Sheep Draw SfM Greeley, CO June 2020
OpenTopography —
In spring 2020, the world was hit by a pandemic that spread globally by March, causing universities and most of the world to move to remote means. Summer field camps,... -
Federal
Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1083
National Oceanic and Atmospheric Administration, Department of Commerce —
Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. -
Federal
Saildrone Atlantic 2022 Hurricane Monitoring, drone 1078
National Oceanic and Atmospheric Administration, Department of Commerce —
Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission... -
Federal
Elevation point cloud from low-altitude aerial imagery from UAS flights over Black Beach, Falmouth, Massachusetts on 18 March 2017 (LAZ file)
Department of the Interior —
Imagery acquired with unmanned aerial systems (UAS) and coupled with structure from motion (SfM) photogrammetry can produce high-resolution topographic and visual... -
Federal
Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1031
National Oceanic and Atmospheric Administration, Department of Commerce —
Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. -
Federal
Saildrone Hurricane Monitoring 2021 NRT data, drone 1060
National Oceanic and Atmospheric Administration, Department of Commerce —
Five Gen6 Saildrone Explorer USVs were launched in the Atlantic Ocean for the duration of the 2021 Atlantic Hurricane Season. These USVs were equipped with a... -
Federal
Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1069
National Oceanic and Atmospheric Administration, Department of Commerce —
Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. -
Federal
Geotagged Low-Altitude Aerial Imagery From Unmanned Aerial Systems Flights Over Town Neck Beach, in Sandwich, Massachusetts, on February 14, 2017
Department of the Interior —
Low-altitude (80-100 meters above ground level) digital images of Town Neck Beach in Sandwich, Massachusetts, were obtained from a camera mounted on a small unmanned... -
Federal
Geotagged Low-Altitude Aerial Imagery From Unmanned Aerial Systems Flights Over Town Neck Beach, in Sandwich, Massachusetts, on March 16, 2017
Department of the Interior —
Low-altitude (80-100 meters above ground level) digital images of Town Neck Beach in Sandwich, Massachusetts, were obtained from a camera mounted on a small unmanned... -
University
Clear Creek, Idaho post-fire debris flow erosion
OpenTopography —
This dataset was collected to quantify post-fire debris flow erosion. An unnamed 0.95 km^2 catchment produced a debris flow in October 2016 following the Pioneer Fire... -
Federal
2017 OCM Unmanned Aerial Systems Lidar: San Francisco Bay NERR
National Oceanic and Atmospheric Administration, Department of Commerce —
Quantum Spatial (QSI) and PrecisionHawk (PH) collected lidar for a test site within the San Francisco Bay National Estuarine Research Reserve (SFBNERR) Rush Ranch... -
Federal
Collaborative Development of Novel Remote Sensing Workflows for Assessing Oyster Reef Structural and Demographic Characteristics to Inform Management and Restoration - NERRS/NSC(NERRS Science Collaborative)
National Oceanic and Atmospheric Administration, Department of Commerce —
This project brought together oyster reef managers along the southeastern United States to evaluate the use of uncrewed aerial systems (UAS), or drones, as a novel... -
Federal
Behavior of Pacific Walruses (Odobenus rosmarus divergens) Hauled Out on Sea Ice During UAS Overflights, Eastern Chukchi Sea, 2015
Department of the Interior —
This dataset is comprised of three tables showing the reaction of walruses hauled out on sea ice of the Chukchi Sea to overflights by rotary wing Unoccupied Aircraft... -
University
Survey of the pull-apart basin, Dzhungarian Fault, Kazakhstan, July 2019
OpenTopography —
This point cloud, DEM and orthophotography data are derived from drone (DJI Phantom 4) photos by Agisoft Photoscan Professional software. It captured one of the... -
Federal
BLM OR Remote Sensing Lidar Project Polygon Hub
Department of the Interior —
LIDAR_PROJECT_POLY: Data consists of polygons representing the spatial footprints of LIDAR projects over BLM lands in Oregon and Washington. -
Federal
BLM OR Remote Sensing Satellite Footprint Polygon Hub
Department of the Interior —
SATELLITE_FOOTPRINT_POLY: Data consists of individual satellite generated polygons representing the footprints of individual images in a mosaic.