Orthomosaic Image and Digital Surface Model for Upper Nome River (MP31) Beaver Ponds, Seward Peninsula, Alaska, 04 August 2021 ...
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...
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NSF Arctic Data Center
2023
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Online Access: | https://dx.doi.org/10.18739/a21z41v3q https://arcticdata.io/catalog/view/doi:10.18739/A21Z41V3Q |
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ftdatacite:10.18739/a21z41v3q 2024-02-04T09:57:53+01:00 Orthomosaic Image and Digital Surface Model for Upper Nome River (MP31) Beaver Ponds, Seward Peninsula, Alaska, 04 August 2021 ... Jones, Benjamin Tape, Kenneth 2023 text/xml https://dx.doi.org/10.18739/a21z41v3q https://arcticdata.io/catalog/view/doi:10.18739/A21Z41V3Q en eng NSF Arctic Data Center arctic beavers alaska tundra pond stream permafrost thermokarst drone Dataset dataset 2023 ftdatacite https://doi.org/10.18739/a21z41v3q 2024-01-05T02:58:40Z 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 04 August 2021 at the Upper Nome River, MP31, site on the Seward Peninsula, Alaska. 248 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 44 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 ... Dataset Arctic Emergence of beavers as ecosystem engineers in the New Arctic Nome permafrost Seward Peninsula Thermokarst Tundra Alaska DataCite Metadata Store (German National Library of Science and Technology) Arctic Beaver Ponds ENVELOPE(-57.841,-57.841,49.642,49.642) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
arctic beavers alaska tundra pond stream permafrost thermokarst drone |
spellingShingle |
arctic beavers alaska tundra pond stream permafrost thermokarst drone Jones, Benjamin Tape, Kenneth Orthomosaic Image and Digital Surface Model for Upper Nome River (MP31) Beaver Ponds, Seward Peninsula, Alaska, 04 August 2021 ... |
topic_facet |
arctic beavers alaska tundra pond stream permafrost thermokarst drone |
description |
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 04 August 2021 at the Upper Nome River, MP31, site on the Seward Peninsula, Alaska. 248 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 44 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 ... |
format |
Dataset |
author |
Jones, Benjamin Tape, Kenneth |
author_facet |
Jones, Benjamin Tape, Kenneth |
author_sort |
Jones, Benjamin |
title |
Orthomosaic Image and Digital Surface Model for Upper Nome River (MP31) Beaver Ponds, Seward Peninsula, Alaska, 04 August 2021 ... |
title_short |
Orthomosaic Image and Digital Surface Model for Upper Nome River (MP31) Beaver Ponds, Seward Peninsula, Alaska, 04 August 2021 ... |
title_full |
Orthomosaic Image and Digital Surface Model for Upper Nome River (MP31) Beaver Ponds, Seward Peninsula, Alaska, 04 August 2021 ... |
title_fullStr |
Orthomosaic Image and Digital Surface Model for Upper Nome River (MP31) Beaver Ponds, Seward Peninsula, Alaska, 04 August 2021 ... |
title_full_unstemmed |
Orthomosaic Image and Digital Surface Model for Upper Nome River (MP31) Beaver Ponds, Seward Peninsula, Alaska, 04 August 2021 ... |
title_sort |
orthomosaic image and digital surface model for upper nome river (mp31) beaver ponds, seward peninsula, alaska, 04 august 2021 ... |
publisher |
NSF Arctic Data Center |
publishDate |
2023 |
url |
https://dx.doi.org/10.18739/a21z41v3q https://arcticdata.io/catalog/view/doi:10.18739/A21Z41V3Q |
long_lat |
ENVELOPE(-57.841,-57.841,49.642,49.642) |
geographic |
Arctic Beaver Ponds |
geographic_facet |
Arctic Beaver Ponds |
genre |
Arctic Emergence of beavers as ecosystem engineers in the New Arctic Nome permafrost Seward Peninsula Thermokarst Tundra Alaska |
genre_facet |
Arctic Emergence of beavers as ecosystem engineers in the New Arctic Nome permafrost Seward Peninsula Thermokarst Tundra Alaska |
op_doi |
https://doi.org/10.18739/a21z41v3q |
_version_ |
1789962217578299392 |