UAV and GPR Data Integration in Glacier Geometry Reconstruction: A Case Study from Irenebreen, Svalbard

• Published in: Remote Sensing
• Main Authors: Jānis Karušs, Kristaps Lamsters, Jurijs Ješkins, Ireneusz Sobota, Pēteris Džeriņš
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2022
• Subjects: ground-penetrating radar; common midpoint method; unmanned aerial vehicle; glaciology; 3D model; Svalbard; Science; Q; Irenebreen; glacier
• Online Access: https://doi.org/10.3390/rs14030456; https://doaj.org/article/1cb9c49ffb6a47b4829b49418b94f255

Although measurements of thickness and internal structure of glaciers are substantial for the understanding of their evolution and response to climate change, detailed data about polythermal glaciers, are scarce. Here, we present the first ground-penetrating radar (GPR) measurement data of Irenebreen, and high-resolution DEM and orthomosaic, obtained from unmanned aerial vehicle (UAV) photogrammetry. A combination of GPR and UAV data allowed for the reconstruction of the glacier geometry including thermal structure. We compare different methods of GPR signal propagation speed determination and argue that a common midpoint method (CMP) should be used if possible. Our observations reveal that Irenebreen is a polythermal glacier with a basal temperate ice layer, the volume of which volume reaches only 12% of the total glacier volume. We also observe the intense GPR signal scattering in two small zones in the ablation area and suggest that intense water percolation occurs in these places creating local areas of temperate ice. This finding emphasizes the possible formation of localised temperate ice zones in polythermal glaciers due to the coincidence of several factors. Our study demonstrates that a combination of UAV photogrammetry and GPR can be successfully applied and should be used for the high-resolution reconstruction of 3D geometries of small glaciers.