GEO DATA

Volume 5(1); March 2023

Detailed Information for This Issue

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

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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.

Imputation of Ocean-color Product in Polynya Region of Antarctica for Primary Productivity Estimates: Jinku Park, Sungjae Lee, Jeong-Hoon Kim, Hyun-Cheol Kim; GEO DATA. 2023;5(1):8-14. Published online March 28, 2023; DOI: https://doi.org/10.22761/GD.2023.0002

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Abstract PDF: This study, focusing on the Antarctic polynyas, performed the imputation of chlorophyll-a concentration (Chl-a) dataset, which is one of the ocean color products mainly used for estimating primary productivity, using the Data Interpolating Empirical Orthogonal Function method and constructed accurate time-series data that excludes as much uncertainty as possible in long-term variability studies due to missing data. The polynya regions were classified into a total of 23 zones through quantitative criterions, and the statistical accuracy of imputation performance was 0.89 for R2 and 0.42, 0.24, and 0.15 for root mean square error, mean squared error, mean absolute error, respectively, on average, showing the ability to perform generally accurate reconstruction. Finally, the reconstructed Chl-a data showed a relatively stable fluctuation compared with standard satellite Chl-a data, and tended to be underestimated due to the expansion of the observable regions. We expect that securing these relatively stable and accurate estimates will be significantly different from the time-series data composed of standard Chl-a estimates, enabling more accurate variability and trend analysis.

Sea Ice Drift from GPS Tracker Deployed in the Arctic Ocean: Jeong-Won Park, Hyun-Cheol Kim, Jinku Park, Ji-Eun Park, Minji Seo; GEO DATA. 2023;5(1):15-19. Published online March 28, 2023; DOI: https://doi.org/10.22761/GD.2023.0003

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Abstract PDF: Sea ice is monitored on a regular basis by satellite observation; however, image-based drift tracking is imprecise as the time interval forming the image-pair is too large to capture the actual trajectory of ice drift. In this study, drift trajectory and speed of an Arctic sea ice floe measured by a GPS tracker for 3 months and the characteristics of the relating device and data, are introduced.

Sea Ice Elevation Measurements Using 3-D Laser Scanner: Minji Seo, Ji-Eun Park, Jeong-Won Park, Jinku Park, Hyun-Cheol Kim; GEO DATA. 2023;5(1):20-25. Published online March 28, 2023; DOI: https://doi.org/10.22761/GD.2023.0004

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Abstract PDF: This study aims to introduce a sea ice elevation dataset estimated by using a 3-D laser scanner during the ice camp of the 2022 Arctic summer field survey. The equipment used is FARO’s Laser scanner FOCUS 3D X 130 HDR. The observed sea ice floe is located in the Arctic Ocean (76°13' N, 174°35') and is a multi-year ice with several melt ponds and ice ridges. We scanned eight sections separately, considering the equipment’s maximum horizontal scan range and the ice surface’s topographic features. The raw data were co-registered based on the positions of reference spheres. The result indicated a significant level of accuracy with a target-based vertical mean error of 4.8 mm. The laser scanner data were merged into point clouds ranging from 160×210 m. As a result, sea ice elevation data were generated in 0 to 2.8 m based on the minimum vertical point in the observation range. Sea ice elevation data is an essential variable in estimating the various properties of sea ice, such as ice thickness and roughness. In addition, using climatic variables such as air temperature and energy budget observed simultaneously can help to understand the physical interaction between the sea ice surface and the atmosphere on a local scale.

Meteorological and Sea Surface Water Measurement Data from Icebreaker Research Vessel ARAON for 2020-2021 Arctic Research Expeditions: Sungjae Lee, Hyun-Cheol Kim, Dongseob Shin, Suhwan Kim, HyunGyu Choi; GEO DATA. 2023;5(1):26-33. Published online March 28, 2023; DOI: https://doi.org/10.22761/GD.2023.0005

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Abstract PDF: Since its construction in 2010, the icebreaker ARAON has been conducting regular polar field surveys to observe changes in the atmosphere and marine environment in polar regions. The Arctic Ocean, a major research area, is directly affected by changes in the ocean, atmosphere and energy circulation system due to the continuous decrease in sea ice. During the Arctic summer season, when sea ice becomes smaller and thinner, the ARAON passes through East Sea, Bering Sea, Chukchi Sea, and Beaufort Sea to investigate the marine environment on the high latitude high seas. The Arctic Ocean is important not only for scientific research due to climate change, but also for economic research such as undersea energy, mineral resources, and Northern Sea route. However, it is difficult to access the Arctic and conduct long-term and continuous field surveys. ARAON carries out Arctic research voyages using various research equipment, and the most basic observation among them is meteorological information and sea water observation data. Weather data include solar radiation, atmospheric temperature, humidity, wind speed and wind direction, and seawater observations include sea water temperature, salinity, conductivity and fluorescence substances. In addition, three-dimensional location information of the research line was obtained. The data will be used as inspection data for satellite data and polar field survey data.

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

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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.

The Funga of Higher Fungi of Mt. Jeombong in Korea: A Survey of Mongolian Oak Forest in 2017: Seung Won Lee, Juo Choi, Ho-Yeon Won, Young Sang Lee, Dongsu Yu, Areum Han, Hwa-Yong Lee, Hee-Su Lee, Ju-Kyeong Eo; GEO DATA. 2023;5(1):40-48. Published online March 30, 2023; DOI: https://doi.org/10.22761/GD.2023.0001

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Abstract PDF: This research was conducted to determine the biodiversity of higher fungi at the supersite of Mt. Jeombong from July to October 2017 during the second long-term ecology research by the National Institute of Ecology under the management of the Ministry of Environment of Korea. Forty-three families, 74 genera, and 130 species of higher fungi were found within the permanent square area of Mt. Jeombong and a 10 m radius of the ecological flux tower. Russulaceae (54 species, 21.9%), Amanitaceae (17 species, 6.9%), and Boletaceae (17 species, 6.9%) were the top three species taxa found in mycorrhizal mushrooms. Mycenaceae (nine species, 8.5%), Polyporaceae (11 species, 4.5%), and Strophariaceae (11 species, 4.5%) were the top three species taxa found in saprophytic mushrooms. These results were analyzed and compared with those of previous fungal mushroom studies.

Topographic Dataset around Uljin Hujeong Coast Using Multi-beam Echo Sounder and Shipborne Mobile LiDAR: Won Hyuck Kim, Chang Hwan Kim, Jong Dae Do, Won Dae Baek, Jea Ho Choi, Soon Young Choi, Byung Gil Lee, Chan Hong Park, Feel Hoon Go; GEO DATA. 2023;5(1):49-53. Published online March 30, 2023; DOI: https://doi.org/10.22761/GD.2023.0008

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Abstract PDF: We obtained a dataset through beach and submarine topography surveys around Hujeoung coast in Uljin. We conducted the beach and submarine topography surveys using small vessels from July 8 to July 11, 2016. The surveying instruments used for the surveys were Shipborne Mobile LiDAR System and Multi-beam Echo Sounder (Kongsberg EM3001). The beach topography was observed up to about 6 m from the shoreline. The width of the beach is about 30 m to 40 m. In the southeast of the survey area, there is an exposed rock with a depth of about 20 m. The area around the rock has sandy sediments. Datasets of the Hujeong coast area can be used for continuous monitoring to development of coastal erosion control system.

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