cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.962644
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Buckland Fire Scar, Alaska (subset 06)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 39.37 pts/m² and 13.29 pts/m², respectively. This dataset covers approximately 8.53 km² of the Buckland Fire scar in Alaska, with all images collected on 27 June 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962663
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Southern Baldwin Peninsula, Alaska (subset 01)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 20 cm, as well as photogrammetric point clouds in RGB and NIR at 4.74 pts/m² and 1.70 pts/m², respectively. This dataset covers approximately 26.33 km² of the southern Baldwin Peninsula in Alaska, with all images collected on 28 June 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962668
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Southern Baldwin Peninsula, Alaska (subset 02)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 20 cm, as well as photogrammetric point clouds in RGB and NIR at 3.96 pts/m² and 1.45 pts/m², respectively. This dataset covers approximately 33.81 km² of the southern Baldwin Peninsula in Alaska, with all images collected on 28 June 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962674
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Southern Baldwin Peninsula, Alaska (subset 03)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 20 cm, as well as photogrammetric point clouds in RGB and NIR at 3.88 pts/m² and 1.39 pts/m², respectively. This dataset covers approximately 25.53 km² of the southern Baldwin Peninsula in Alaska, with all images collected on 28 June 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962793
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Imuruk Volcanic Field, Alaska (subset 01)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 9.77 pts/m² and 3.56 pts/m², respectively. This dataset covers approximately 17.18 km² of the Imuruk volcanic field in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962721
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Noatak Valley, Alaska (subset 02)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 27.10 pts/m² and 9.15 pts/m², respectively. This dataset covers approximately 12.56 km² of the northern Noatak Valley in Alaska, with all images collected on 2 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962724
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Noatak Valley, Alaska (subset 03)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 27.18 pts/m² and 9.22 pts/m², respectively. This dataset covers approximately 12.96 km² of the northern Noatak Valley in Alaska, with all images collected on 2 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962797
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Imuruk Volcanic Field, Alaska (subset 02)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 12.08 pts/m² and 4.26 pts/m², respectively. This dataset covers approximately 17.06 km² of the Imuruk volcanic field in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962799
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Imuruk Volcanic Field, Alaska (subset 04)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 13.04 pts/m² and 4.48 pts/m², respectively. This dataset covers approximately 16.83 km² of the Imuruk volcanic field in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962800
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Imuruk Volcanic Field, Alaska (subset 05)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 8.33 pts/m² and 3.01 pts/m², respectively. This dataset covers approximately 16.71 km² of the Imuruk volcanic field in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962805
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Kougarok River, Alaska (subset 01)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 9.16 pts/m² and 3.14 pts/m², respectively. This dataset covers approximately 21.89 km² around the Kougarok River in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962733
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Southern Noatak Valley, Alaska (subset 01)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 20 cm, as well as photogrammetric point clouds in RGB and NIR at 3.56 pts/m² and 1.27 pts/m², respectively. This dataset covers approximately 27.43 km² of the southern Noatak Valley in Alaska, with all images collected on 2 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962735
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Southern Noatak Valley, Alaska (subset 02)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 20 cm, as well as photogrammetric point clouds in RGB and NIR at 3.48 pts/m² and 1.26 pts/m², respectively. This dataset covers approximately 31.00 km² of the southern Noatak Valley in Alaska, with all images collected on 2 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962837
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Kougarok River, Alaska (subset 02)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 9.21 pts/m² and 3.17 pts/m², respectively. This dataset covers approximately 21.89 km² around the Kougarok River in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962838
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Kougarok River, Alaska (subset 03)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 7.85 pts/m² and 2.66 pts/m², respectively. This dataset covers approximately 21.89 km² around the Kougarok River in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962736
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Southern Noatak Valley, Alaska (subset 03)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 20 cm, as well as photogrammetric point clouds in RGB and NIR at 3.22 pts/m² and 1.15 pts/m², respectively. This dataset covers approximately 31.21 km² of the southern Noatak Valley in Alaska, with all images collected on 2 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962737
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Southern Noatak Valley, Alaska (subset 04)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 20 cm, as well as photogrammetric point clouds in RGB and NIR at 2.79 pts/m² and 1.03 pts/m², respectively. This dataset covers approximately 31.07 km² of the southern Noatak Valley in Alaska, with all images collected on 2 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962777
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Lake Basins on the Northern Seward Peninsula, Alaska (West, subset 02)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 8.82 pts/m² and 3.04 pts/m², respectively. This dataset covers approximately 15.38 km² of drained thermokarst lake basins on the northern Seward Peninsula in Alaska, with all images collected on 9 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962784
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Kitluk Coast, Alaska (subset 01)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 8.58 pts/m² and 3.06 pts/m², respectively. This dataset covers approximately 21.95 km² of the Kitluk Coast the northern Seward Peninsula in Alaska, with all images collected on 9 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.974029
title: Master tracks in different resolutions of POLARSTERN cruise PS144, Tromsø - Bremerhaven, 2024-08-09 - 2024-10-13

description: Raw data acquired by position sensors on board RV Polarstern during expedition PS144 was processed to receive a validated master track which can be used as reference of further expedition data. During PS144 two Trimble Marine R750 GPS receivers and the iXBlue HYDRINS hydrographic survey inertial navigation system were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
description: This dataset contains the master track in 10 min resolution, for other resolutions please see "Other version" references.
DOI: 10.1594/pangaea.962839
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Kougarok River, Alaska (subset 04)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 8.11 pts/m² and 2.92 pts/m², respectively. This dataset covers approximately 21.89 km² around the Kougarok River in Alaska, with all images collected on 10 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.