Photogrammetric data collected by small unoccupied aircraft system for vegetation analysis at three study reaches along the Verde River, Arizona, December 2017
Dates
Publication Date
2020-03-23
Citation
Holmquist-Johnson, C., 2020, Photogrammetric data collected by small unoccupied aircraft system for vegetation analysis at three study reaches along the Verde River, Arizona, December 2017: U.S. Geological Survey data release, https://doi.org/10.5066/P9JZYT2J.
Summary
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 three study sites (Beasley Flat, Childs, and 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 each of the three study sites.
Summary
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 three study sites (Beasley Flat, Childs, and 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 each of the three study sites.
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Related External Resources
Type: Related Primary Publication
Cubley, E.S., Bateman, H.L., Riddle, S.B. et al. Predicting Bird Guilds Using Vegetation Composition and Structure on a Wild and Scenic River in Arizona. Wetlands (2020). https://doi.org/10.1007/s13157-020-01371-9
In December 2017, U.S. Geological Survey collected low-altitude airborne data to demonstrate the successful use of small unoccupied aircraft systems (sUAS) for riparian vegetation characterization of three remote stream reaches along the Verde River in Arizona. The visual imagery, on the ground GPS data collection, and derived orthomosaics were used to categorize woody vegetation cover at the reach scale.