Orthomosaic Image and Digital Surface Model for Upper Nome River (MP31) Beaver Ponds, Seward Peninsula, Alaska, 26 March 2022 ...

• Main Authors: Jones, Benjamin, Tape, Kenneth
• Format: Dataset
• Language: English
• Published: NSF Arctic Data Center 2023
• Subjects: arctic; beavers; alaska; tundra; pond; stream; permafrost; thermokarst; Arctic; Beaver Ponds; Emergence of beavers as ecosystem engineers in the New Arctic; Nome; Seward Peninsula; Thermokarst; Tundra; Alaska
• Online Access: https://dx.doi.org/10.18739/a2v97zt1h; https://arcticdata.io/catalog/view/doi:10.18739/A2V97ZT1H

Emergence of beavers as ecosystem engineers in the New Arctic project focuses on establishing field sites at tundra beaver ponds to study the implications of beaver engineering on hydrology and permafrost. Drones are being used to collect baseline data and track beaver dam building and pond evolution over time. This dataset consists of an orthomosaic and digital surface model (DSM) derived from drone surveys on 26 March 2022 at the Upper Nome River, MP31, site on the Seward Peninsula, Alaska. 492 digital images were acquired from a DJI Phantom 4 Real-Time Kinematic (DJI P4RTK) quadcopter with a DJI D-RTK 2 Mobile Base Station. The mapped area was around 75 hectares (ha). The drone system was flown at 120 meters (m) above ground level (agl) and flight speeds varied from 8-9 meters/second (m/s). The orientation of the camera was set to 90 degrees (i.e. looking straight down). The along-track overlap and across-track overlap of the mission were set at 80% and 70%, respectively. All images were processed in the ...