GEO DATA

Data Article

High-Precision Multi-Sensor Digital Surface Model Dataset Based on UAV and Satellite Data for Greenland Glacier Monitoring: Yongsik Jeong, Hyun-Cheol Kim; GEO DATA. 2025;7(4):241-249. Published online December 29, 2025; DOI: https://doi.org/10.22761/GD.2025.0059

435 View
23 Download

Abstract PDF: This study presents a methodological framework for developing a high-precision digital surface model (DSM) dataset based on complementary unmanned aerial vehicle (UAV) light detection and ranging (LiDAR) and satellite-derived data for Russell Glacier terminus, Greenland. Field surveys were conducted across four annual campaigns (2022-2025), acquiring UAV LiDAR data that were subsequently cross-referenced with three satellite-derived DSMs, ASTER GDEM V3, WorldDEM, and Arctic- DEM Mosaic v4.1. Vertical rectification using inverse distance weighting interpolation with six ground control points was applied to all datasets, achieving a remarkable 94.1% improvement in accuracy, reducing mean root mean square error (RMSE) from 19.05 to 1.12 m. WorldDEM demonstrated the most substantial improvement (98.6% reduction), while post-correction ArcticDEM achieved the highest accuracy (0.20 m RMSE). UAV LiDAR maintained centimeter-level precision (0.51 m RMSE). Spatiotemporal analysis revealed significant morpho-dynamic changes, including proglacial lake expansion, moraine evolution, and surface elevation variations. Over 20 years (2000-2025), terminus-region elevation differences reached to 20 m. The vertical rectification methodology demonstrates the effectiveness of employing multi-sensor datasets derived from complementary platforms to overcome individual sensor limitations. This dataset supports glacier mass balance research, dynamics investigations, and climate change impact assessments. The dataset is publicly available through the Korea Polar Data Center (KPDC).

Original Papers

Small Unmanned Aerial Vehicle LiDAR-based High Spatial Resolution Topographic Dataset in Russell Glacier, Greenland: Yongsik Jeong, Sungjae Lee, Seung Hee Kim, Hyun-Cheol Kim; GEO DATA. 2023;5(1):1-7. Published online March 29, 2023; DOI: https://doi.org/10.22761/GD.2023.0006

2,775 View
152 Download

Abstract PDF: Greenland contains a large continental glacier. The influence of glacier melting has been expanding due to global warming. Although regional monitoring based on satellite data is being conducted, the demand for local/specific variation observation has increased as rising climate temperature patterns in the polar region. In this study, a precise topographic dataset was created for Greenland’s Russell glacier using a small unmanned aerial vehicle (sUAV) onboarded LiDAR sensor. A precise digital surface model (DSM) was constructed based on LiDAR data obtained at an altitude of about 100 to 200 m, and DSM resampled to a 2 m sample distance was produced to confirm its applicability by comparing before-and-after variations. This study provides DSM data applied with a pre/post-processing used for the comparison analysis.

Establishment of Geographic Information Data of Greenland Glacier Using Fixed-wing Unmanned Aerial Vehicle: Sungjae Lee, Seung Hee Kim, Hyun-Cheol Kim; GEO DATA. 2023;5(1):34-39. Published online March 28, 2023; DOI: https://doi.org/10.22761/GD.2023.0007

2,004 View
41 Download

Abstract PDF: In recent decades, the Greenland glacier has experienced significant changes in the environment near the surface due to the increase in surface melting on glacier. In order to quantify these environmental changes, precise spatial information data is necessary. Although digital elevation models using satellite data are widely used to secure data, it is difficult to observe the polar regions by satellite alone due to limitations such as spatial resolution, revisit period, and weather. To overcome these shortcomings, many field geographic surveys using unmanned aerial vehicles are being conducted. In this study, a field survey was conducted on September 14, 2021 to produce high-resolution spatial information in the Russell glacier area located in the Greenland Kangerlussuaq. By matching the acquired aerial image data, orthorectification image with a spatial resolution of about 13 cm/pixel and a digital surface model are produced. This data is expected to be utilized as basic spatial data for Russell glacier runoff and topographical changes, and it is expected to be used as data that can grasp changes in time and spatial through continuous data accumulation.

First
Prev
Page of 1
Next
Last

Search