Orthomosaic Image and Digital Surface Model for the Swan Lake Drained Lake Basin (MP64) Beaver Dams, Seward Peninsula, Alaska, 12 August 2022 ...
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 evolutio...
| Main Authors: | , |
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| Format: | Dataset |
| Language: | English |
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NSF Arctic Data Center
2023
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| Online Access: | https://dx.doi.org/10.18739/a2ns0m03w https://arcticdata.io/catalog/view/doi:10.18739/A2NS0M03W |
| Summary: | 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 12 August 2022 at the Swan Lake Drained Lake Basin, MP64, site on the Seward Peninsula, Alaska. 910 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 140 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 ... |
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