Hornsund DEM - orthomosaics and Digital Elevation Models from the vicinity of the Polish Polar Station Hornsund, Spitsbergen, Svalbard

Bibliographic Details
Title: Hornsund DEM - orthomosaics and Digital Elevation Models from the vicinity of the Polish Polar Station Hornsund, Spitsbergen, Svalbard
Authors: Alphonse, Abhishek Bamby, Wawrzyniak, Tomasz, Osuch, Marzena, Hanselmann, Nicole
Publisher Information: PANGAEA
Publication Year: 2024
Collection: PANGAEA - Data Publisher for Earth & Environmental Science (AWI Bremerhaven / MARUM Bremen)
Subject Terms: File content, Hornsund, North Greenland Sea, Raster graphic, GeoTIFF format, GeoTIFF format (File Size)
Subject Geographic: LATITUDE: 77.004500 * LONGITUDE: 15.467900
Description: In the age of remote sensing, particularly with new generation Uncrewed Aerial Vehicles (UAVs), there is a broad spectrum of applications, especially in remote and rapidly changing areas such as the Arctic. Due to challenging conditions in this region, there is a scarcity of detailed spatial studies with data that may be used to estimate changes in glacier volume and geomorphological changes caused by permafrost freeze–thaw cycles. Drone-based Digital Elevation Models (DEM) offer a finer spatial resolution with higher accuracy than airborne and satellite-based products that can be used for acquiring, interpreting, and precisely representing spatial data in broad studies. In this study, we evaluate a UAV-based DEM of two High Arctic catchments, Fuglebekken and Ariebekken, located on Spitsbergen Island. The surveys were carried out in July 2022 using a DJI Matrice 300 RTK drone equipped with a photogrammetric Zenmuse P1 camera. A total of 371 images were taken, covering an area of 7.81 km2. The DEM was created by the Structure-from-Motion technique and achieved a centimetre-level accuracy by overlapping very high-resolution images. The final resolution of the DEM was found to be 0.06 m in Fuglebekken and 0.07 m in Ariebekken, with a horizontal and vertical RMSE of 0.09 m and 0.20 m, respectively.
Document Type: dataset
File Description: text/tab-separated-values, 8 data points
Language: English
Relation: https://doi.pangaea.de/10.1594/PANGAEA.965066; https://doi.org/10.1594/PANGAEA.965066
DOI: 10.1594/PANGAEA.965066
Availability: https://doi.org/10.1594/PANGAEA.965066
Rights: CC-BY-4.0: Creative Commons Attribution 4.0 International ; Access constraints: unrestricted ; info:eu-repo/semantics/openAccess
Accession Number: edsbas.8FF44713
Database: BASE
Description
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