Filters: Tags: drone (X) > partyWithName: U.S. Geological Survey - ScienceBase (X)
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The U.S. Geological Survey (USGS) is actively investigating the use of innovative remote-sensing techniques to estimate surface velocity and discharge of rivers in ungaged basins and river reaches that lack the infrastructure to install conventional streamgaging equipment. By coupling discharge algorithms and sensors capable of measuring surface velocity, streamgage networks can be established in regions where data collection was previously impractical or impossible. One of the remote-sensing techniques uses a Doppler (velocity) radar (QCam) mounted and integrated on a small unmanned aircraft system (sUAS or drone). QCam measures the along-track surface velocity by spot dwelling in a river cross section at a vertical...
This child item contains files representing Particle Image Velocimetry (PIV) processing masks which excluded regions of invalid velocities from the PIV results. Masks typically are used to screen out velocities or prevent the creation of velocities for regions of an image where computed PIV velocities would be nonsensical or invalid. For example, near or on the channel banks, where a tree overhangs the channel, or the presence of a boat or other object in the water. By using masks, these regions can be excluded from analysis. The PIVLab software allows for the designation of a rectangular Region of Interest (ROI). For five of the field sites, which were located at engineered canals, a rectangular ROI was sufficient...
These digital images were taken over an area of the Potomac River in Point of Rocks, Maryland using 3DR Solo unmanned aircraft systems (UAS) on October 24, 2019. These images were collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Each UAS was equipped with a Ricoh GRII digital camera for natural color photos, used to produce digital elevation models and ortho images, a MicaSense RedEdge multi-spectral camera that captures five specific bands of the visible spectrum (blue, green, red, rededge, and near-infrared), which can be used to classify vegetation, or FLIR Vue Pro R 640 13mm radiometric thermal camera that provides temperature...
The U.S. Geological Survey collected low-altitude airborne visual imagery via a multirotor, small unoccupied aircraft system (sUAS) along with Real Time Kinematic (RTK) GPS survey data at Childs along the Verde River in Arizona in December 2017. Visual imagery was collected in jpg format and Structure from Motion techniques were applied to the visual imagery to derive a time-specific high-resolution orthomosaic for the study site.
The U.S. Geological Survey collected multispectral and visible light imagery via a quadcopter, small unoccupied aircraft system (sUAS) deployed near Ashville Bridge Creek in Virginia Beach, VA. Approximately 0.25 sq mi surrounding U.S.Fish and Wildlife Service (USFWS) Back Bay National Wildlife Refuge along Ashville Bridge Creek approximately 0.5 mi south of Lotus Garden Park on July 17 and 18, 2018. Photos were collected at a height of 400ft above ground level (AGL) with approximately 70% frontlap between photos and approximately 30% sidelap between survey lines. Multispectral images were collected in a tif format using a Micasense RedEdge M with a Ground Sample Distance of 8.2 cm/pixel, visible light images were...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Ashville Bridge Creek,
Back Bay National Wildlife Refuge,
City of Virginia Beach,
Ecology,
Environmental Health,
These digital images were taken over an area of the Potomac River in Point of Rocks, Maryland using 3DR Solo unmanned aircraft systems (UAS) on October 24, 2019. These images were collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Each UAS was equipped with a MicaSense RedEdge multi-spectral camera that captures five specific bands of the visible spectrum (blue, green, red, rededge, and near-infrared), which can be used to classify vegetation. Some photographs contain black and white targets used as ground control points (GCPs), which were surveyed by a field crew with a high-precision (GNSS) Global Navigation Satellite System and/or...
This dataset includes vertical velocity profiles and river discharge at the cross section of interest where velocity measurements were taken on the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska. Each profile contains measurements from at least six depths across the cross section in order to have a full two-dimensional cross-section velocity profile across the river. Each profile contains measurements at various depths at the y-axis, which is the vertical in the cross-sectional profile where the maximum velocity (umax) occurs.These measurements were taken using a Flowtracker2 instrument (SonTek, 2020) when wading was possible; if wading was not possible, measurements were...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alaska,
Colorado,
North America,
United States,
depth,
This dataset contains data collected during science flights using the drone-based QCam, which is a Doppler (velocity) radar designed to measure surface velocity and compute river discharge when channel bathymetry is known. Five science flights were conducted on the Arkansas River in Colorado and are presented as comma separated values (CSV) files.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Canon City,
drone,
hydrographic datasets,
remote sensing,
sUAS,
This child item contains the image frames extracted from videos for each field site. The images serve as the input to the Particle Image Velocimetry (PIV) analysis. There are zip archive files for each field site included in this child item. Each of the zip files contain three directories of images: original: these are the image frames extracted from the videos without other modification. stable: these image frames have been created by running the original frames through an image stabilization program. See the FGDC metadata Process Steps for more information. stable_subtracted: these image frames have been created by using background subtraction on the stabilized images. See the FGDC metadata Process Steps for...
Small unoccupied aircraft systems (UAS) are now often used for collecting aerial visible image data and creating 3D digital surface models (DSM) that incorporate terrain and dense vegetation. Lightweight thermal sensors provide another sensor option for generation of sub meter resolution aerial thermal infrared orthophotos that can be used to infer hydrogeological processes. UAS-based sensors allow for the rapid and safe survey of groundwater discharge areas, often present in inaccessible, boggy, and/or dangerous terrain. Visible light and thermal infrared image data were collected March 2018 and March 2019, respectively, at Tidmarsh Farms, a former commercial cranberry bog located in coastal Massachusetts, USA...
This point cloud was derived from low-altitude aerial images collected from an unmanned aerial system (UAS) flown in the Cape Cod National Seashore on 1 March, 2016. The objective of the project was to evaluate the quality and cost of mapping from UAS images. The point cloud contains 434,096,824 unclassifed and unedited geolocated points. The points have horizontal coordinates in NAD83(2011) UTM Zone 19 North meters, vertical coordinates in NAVD88 meters, and colors in the red-green-blue (RGB) schema. The points were generated in photogrammetric software (Agisoft Photoscan Professional v. 1.2.6) from 1122 digital images taken approximately 120 m above the ground with a Canon Powershot SX280 12-mexapixel digital...
A USGS Unoccupied Aircraft Systems (UAS) Aquatic Airshow field testing and demonstration event occurred March 20–21, 2018, on the Arkansas River at Parkdale, CO, USA. At the airshow, a group of USGS scientists and technicians gathered to test non-contact sensors for measuring stream discharge using UAS and a sensor mounted on a tag line. Scientists at the event performed a series of tests to measure river discharge with experimental non-contact techniques. USGS scientists and field personnel traditionally conduct a discharge measurement either by wading or working from a boat. Due to the potential danger and high risk to personnel safety, hydrologic measurement work is limited during very high flow events, ice break-up,...
Categories: Data;
Tags: Canon City,
Geomorphology,
Remote Sensing,
USGS Science Data Catalog (SDC),
Water Resources,
In support of U.S. Geological Survey (USGS) Southwest Biological Science Center researchers, and in coordination with the Bureau of Land Management (BLM) and National Ecological Observatory Network (NEON), the USGS National Uncrewed Systems Office (NUSO) conducted uncrewed aircraft systems (UAS) remote sensing flights over two BLM Assessment, Inventory, and Monitoring (AIM) plots at the NEON Moab site in Utah for multi-scale carbon sequestration research on public lands. The UAS data collected include natural color, multispectral, and hyperspectral imagery, and lidar to capture diverse information about vegetation and soils on drylands. The first site (“site 1”) features intact sagebrush and was mapped on May 3,...
The U.S. Geological Survey collected low-altitude airborne visual imagery via a multirotor, small unoccupied aircraft system (sUAS) along with Real Time Kinematic (RTK) GPS survey data at Sheep Bridge along the Verde River in Arizona in December 2017. Visual imagery was collected in jpg format and Structure from Motion techniques were applied to the visual imagery to derive a time-specific high-resolution orthomosaic for the study site.
While small unmanned aerial systems (UAS) present a unique opportunity to survey avian populations while limiting disturbance, relatively little is known about how this method compares with more traditional approaches. In this study we compared population estimates of a mixed-species egret colony in the Chesapeake Bay (Maryland, USA) derived from UAS photo counts, flush counts, flight-line surveys, and in-colony nest counts along with the time required to derive an estimate via each approach. These data support a larger USGS manuscript.
Categories: Data;
Tags: Cattle Egret,
Chesapeake Bay,
Ecology,
UAS,
USGS Science Data Catalog (SDC),
Low-altitude (80 and 100 meters above ground level) digital images were collected at Sage Lot Pond in Waquoit, Massachusetts, two sites on the Mill River in Taunton, MA, Great Marsh in Barnstable, MA, the Wells National Estuarine Research Reserve in Wells, ME, and on the Woods Hole Oceanographic Institution Quissett Campus in Woods Hole, MA using 3DR Solo unoccupied aircraft systems (UAS) during 2018. These images were collected to support science and data needs in wetland research, topographic mapping, and landcover detection at the U.S. Geological Survey Woods Hole Coastal and Marine Science Center. The imagery and associated ground control points can be used to create Digital Elevation Models (DEMs), orthoimages,...
Categories: Data,
Image;
Tags: 3DR Solo quadcopter,
Barnstable,
Barnstable Harbor,
Britannia,
CMHRP,
These digital images were taken over an area of the Potomac River in Shepherdstown, West Virginia using 3DR Solo unmanned aircraft systems (UAS) on October 21, 2019. These images were collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Each UAS was equipped with a Ricoh GRII digital camera for natural color photos, used to produce digital elevation models and ortho images, or FLIR Vue Pro R 640 13mm radiometric thermal camera that provides temperature data embedded in every pixel. Some photographs contain black and white targets used as ground control points (GCPs), which were surveyed by a field crew with a high-precision (GNSS) Global...
These digital images were taken over an area of the Potomac River in Shepherdstown, West Virginia using 3DR Solo unmanned aircraft systems (UAS) on October 21, 2019. These images were collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Each UAS was equipped with a Ricoh GRII digital camera for natural color photos, used to produce digital elevation models and ortho images. Some photographs contain black and white targets used as ground control points (GCPs), which were surveyed by a field crew with a high-precision (GNSS) Global Navigation Satellite System and/or containing internal post processing kinematic (PPK) GPS system. This data...
These digital images were taken over an area of the Potomac River in Shepherdstown, West Virginia using 3DR Solo unmanned aircraft systems (UAS) on October 21, 2019. These images were collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Each UAS was equipped with a FLIR Vue Pro R 640 13mm radiometric thermal camera that provides temperature data embedded in every pixel. Some photographs contain black and white targets used as ground control points (GCPs), which were surveyed by a field crew with a high-precision (GNSS) Global Navigation Satellite System and/or containing internal post processing kinematic (PPK) GPS system. This data...
The purpose of this field data collection was to test and compare the OceanInsight HDX Mini Spectrometer as an accessible alternative against the more expensive ASD Fieldspec for collecting ground-based hyperspectral reflectance profiles for landcover analysis. The data collection took place in Dog Head Marsh and South Cape Beach within the Waquoit Bay National Estuarine Research Reserve (WBNERR). The hyperspectral profiles were collected side-by-side with both field-spectrometers using comparable sensor collection settings for various ground cover samples. The terrain and vegetation type of these sample were described as well as surveyed using Real Time Kinematic Global Positioning System (RTK-GPS). This data...
Categories: Data,
Image;
Tags: 3DR Solo quadcopter,
CMHRP,
Coastal and Marine Hazards and Resources Program,
Field activity 2022-030-FA,
Image,
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