Saved in:
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| Format: | Dataset Open Access |
| Language: | en |
| Published: |
PANGAEA
2024
|
| Subjects: | |
| Online Access: | https://doi.org/10.1594/PANGAEA.962137 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1867167681901232128 |
|---|---|
| author | Rettelbach, Tabea Nitze, Ingmar Grünberg, Inge Hammar, Jennika Schäffler, Simon Hein, Daniel Gessner, Matthias Bucher, Tilman Brauchle, Jörg Hartmann, Jörg Sachs, Torsten Boike, Julia Grosse, Guido |
| author_facet | Rettelbach, Tabea Nitze, Ingmar Grünberg, Inge Hammar, Jennika Schäffler, Simon Hein, Daniel Gessner, Matthias Bucher, Tilman Brauchle, Jörg Hartmann, Jörg Sachs, Torsten Boike, Julia Grosse, Guido |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, 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 very high spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR. This data collection aggregates 11 data subsets of the northern Teshekpuk Lake, Alaska, covering approximately 100 km². All images were collected on 23 July 2019. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_962137 |
| institution | PANGAEA |
| language | en |
| publishDate | 2024 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Super-high-resolution aerial imagery, digital surface models and 3D point clouds of the Northern Teshekpuk Lake, Alaska Rettelbach, Tabea Nitze, Ingmar Grünberg, Inge Hammar, Jennika Schäffler, Simon Hein, Daniel Gessner, Matthias Bucher, Tilman Brauchle, Jörg Hartmann, Jörg Sachs, Torsten Boike, Julia Grosse, Guido AC; Airborne Data; Aircraft; Alaska; Arctic Landscape Dynamics; Barrow, Alaska, USA; Digital Surface Model; Ice-wedge Polygons; Lake; MACS; Orthoimagery; P6_219_ThawTrendR_Air_2019_1907230701; P6-219_ThawTrendR_Air_2019; Permafrost; point clouds; POLAR 6; Structure-from-Motion; Teshekpuk Lake; US-Air_2019_AK_NorthSlope, ThawTrendr-Air, AIRMETH As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, 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 very high spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR. This data collection aggregates 11 data subsets of the northern Teshekpuk Lake, Alaska, covering approximately 100 km². All images were collected on 23 July 2019. |
| title | Super-high-resolution aerial imagery, digital surface models and 3D point clouds of the Northern Teshekpuk Lake, Alaska |
| topic | AC; Airborne Data; Aircraft; Alaska; Arctic Landscape Dynamics; Barrow, Alaska, USA; Digital Surface Model; Ice-wedge Polygons; Lake; MACS; Orthoimagery; P6_219_ThawTrendR_Air_2019_1907230701; P6-219_ThawTrendR_Air_2019; Permafrost; point clouds; POLAR 6; Structure-from-Motion; Teshekpuk Lake; US-Air_2019_AK_NorthSlope, ThawTrendr-Air, AIRMETH |
| url | https://doi.org/10.1594/PANGAEA.962137 |