Published on 01 January 2022

Beaver pond bathymetry rasters and point depths 2021-2022

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Clark, Jason;Tape, Ken

Description

The Arctic Beaver Observation Network is a 5-year project (2021-2026) funded by the National Science Foundation. The natural science part of the project uses remote sensing to observe the progress and impacts of beaver engineering in the Arctic, starting in Alaska and extending into Canada and Eurasia. The project also establishes field sites at tundra beaver ponds to study the implications of beaver engineering on hydrology and permafrost, as well as pond evolution documented using Unmanned Aerial Systems (UAS). Remote sensing work will map beaver ponds over time. Field measurements at tundra beaver ponds are made in August and late March. Data generated by field measurements include water level and temperature from pressure-transducers, subsurface imaging from ground-penetrating radar, sonar measurements for beaver pond bathymetry, tabular data associated with water quality measurements, and ice thickness and water depth (in winter). Data is also posted from UAS surveys: annual visible and multi-spectral surveys, as well as snow depth.

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Mentions (0)

Metrics

Dataset Index

0.3

FAIR Score

15%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

NSF Arctic Data Center

Assigned Domain

Subfield

Ecology

Field

Environmental Science

Domain

Physical Sciences

Confidence Score

44%

Source

Scholar Data Model

Keywords

bathymetrybeaverspondarcticalaskapermafrosttundra

Normalization Factors

FT

15.38

CTw

1.00

MTw

1.00