Orthomosaic Image and Digital Surface Model for Derksen and Schmutz Basins, Arctic Coastal Plain of northern Alaska, 23 July 2022

Taken together, lakes and drained lake basins may cover up to 80% of the lowland landscapes in permafrost regions of the Arctic. Lake formation, growth, and drainage in lowland permafrost regions create a terrestrial and aquatic landscape mosaic of importance to geomorphic and hydrologic processes,...

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Main Author: Benjamin Jones
Format: Dataset
Language:unknown
Published: Arctic Data Center 2023
Subjects:
Ice
Online Access:https://doi.org/10.18739/A2F76685C
id dataone:doi:10.18739/A2F76685C
record_format openpolar
spelling dataone:doi:10.18739/A2F76685C 2024-06-03T18:46:34+00:00 Orthomosaic Image and Digital Surface Model for Derksen and Schmutz Basins, Arctic Coastal Plain of northern Alaska, 23 July 2022 Benjamin Jones Derksen and Schmutz Drained Lake Basins ENVELOPE(-153.872,-153.778,70.7397,70.725) BEGINDATE: 2022-07-23T00:00:00Z ENDDATE: 2022-07-23T00:00:00Z 2023-01-01T00:00:00Z https://doi.org/10.18739/A2F76685C unknown Arctic Data Center Dataset 2023 dataone:urn:node:ARCTIC https://doi.org/10.18739/A2F76685C 2024-06-03T18:20:17Z Taken together, lakes and drained lake basins may cover up to 80% of the lowland landscapes in permafrost regions of the Arctic. Lake formation, growth, and drainage in lowland permafrost regions create a terrestrial and aquatic landscape mosaic of importance to geomorphic and hydrologic processes, tundra vegetation communities, permafrost and ground-ice characteristics, biogeochemical cycling, wildlife habitat, and human land-use activities. Our project focuses on quantifying the role of thermokarst lake expansion, drainage, and drained lake basin evolution in the Arctic System. We did this through a combination of field studies, environmental sensor networks, remote sensing, and modeling. This dataset consists of an orthomosaic and digital surface model (DSM) derived from drone surveys on 23 July 2022 at Derksen and Schmutz Basins on the Arctic Coastal Plain of northern Alaska. 6,158 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 580 hectares (ha). The drone system was flown at 100 meters (m) above ground level (agl) and flight speeds varied from 7–8 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 software Pix4D Mapper (v. 4.8.4) using the standard 3D Maps workflow and the accurate geolocation and orientation calibration method to produce the orthophoto mosaic and digital surface model at spatial resolutions of 5 and 10 centimeters (cm), respectively. Elevation information derived over waterbodies is noisy and does not represent the surface elevation of the feature. A Leica Viva differential global positioning system (GPS) provided ground control for the mission and the data were post-processed to WGS84 UTM Zone 5 North in Ellipsoid Heights (meters). Dataset Arctic Ice permafrost Thermokarst Tundra Alaska Arctic Data Center (via DataONE) Arctic Arctic Lake ENVELOPE(-130.826,-130.826,57.231,57.231) ENVELOPE(-153.872,-153.778,70.7397,70.725)
institution Open Polar
collection Arctic Data Center (via DataONE)
op_collection_id dataone:urn:node:ARCTIC
language unknown
description Taken together, lakes and drained lake basins may cover up to 80% of the lowland landscapes in permafrost regions of the Arctic. Lake formation, growth, and drainage in lowland permafrost regions create a terrestrial and aquatic landscape mosaic of importance to geomorphic and hydrologic processes, tundra vegetation communities, permafrost and ground-ice characteristics, biogeochemical cycling, wildlife habitat, and human land-use activities. Our project focuses on quantifying the role of thermokarst lake expansion, drainage, and drained lake basin evolution in the Arctic System. We did this through a combination of field studies, environmental sensor networks, remote sensing, and modeling. This dataset consists of an orthomosaic and digital surface model (DSM) derived from drone surveys on 23 July 2022 at Derksen and Schmutz Basins on the Arctic Coastal Plain of northern Alaska. 6,158 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 580 hectares (ha). The drone system was flown at 100 meters (m) above ground level (agl) and flight speeds varied from 7–8 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 software Pix4D Mapper (v. 4.8.4) using the standard 3D Maps workflow and the accurate geolocation and orientation calibration method to produce the orthophoto mosaic and digital surface model at spatial resolutions of 5 and 10 centimeters (cm), respectively. Elevation information derived over waterbodies is noisy and does not represent the surface elevation of the feature. A Leica Viva differential global positioning system (GPS) provided ground control for the mission and the data were post-processed to WGS84 UTM Zone 5 North in Ellipsoid Heights (meters).
format Dataset
author Benjamin Jones
spellingShingle Benjamin Jones
Orthomosaic Image and Digital Surface Model for Derksen and Schmutz Basins, Arctic Coastal Plain of northern Alaska, 23 July 2022
author_facet Benjamin Jones
author_sort Benjamin Jones
title Orthomosaic Image and Digital Surface Model for Derksen and Schmutz Basins, Arctic Coastal Plain of northern Alaska, 23 July 2022
title_short Orthomosaic Image and Digital Surface Model for Derksen and Schmutz Basins, Arctic Coastal Plain of northern Alaska, 23 July 2022
title_full Orthomosaic Image and Digital Surface Model for Derksen and Schmutz Basins, Arctic Coastal Plain of northern Alaska, 23 July 2022
title_fullStr Orthomosaic Image and Digital Surface Model for Derksen and Schmutz Basins, Arctic Coastal Plain of northern Alaska, 23 July 2022
title_full_unstemmed Orthomosaic Image and Digital Surface Model for Derksen and Schmutz Basins, Arctic Coastal Plain of northern Alaska, 23 July 2022
title_sort orthomosaic image and digital surface model for derksen and schmutz basins, arctic coastal plain of northern alaska, 23 july 2022
publisher Arctic Data Center
publishDate 2023
url https://doi.org/10.18739/A2F76685C
op_coverage Derksen and Schmutz Drained Lake Basins
ENVELOPE(-153.872,-153.778,70.7397,70.725)
BEGINDATE: 2022-07-23T00:00:00Z ENDDATE: 2022-07-23T00:00:00Z
long_lat ENVELOPE(-130.826,-130.826,57.231,57.231)
ENVELOPE(-153.872,-153.778,70.7397,70.725)
geographic Arctic
Arctic Lake
geographic_facet Arctic
Arctic Lake
genre Arctic
Ice
permafrost
Thermokarst
Tundra
Alaska
genre_facet Arctic
Ice
permafrost
Thermokarst
Tundra
Alaska
op_doi https://doi.org/10.18739/A2F76685C
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