GEO DATA

Original Papers

Refined GEDI Level-2A Database Construction: Focused on Gyeonggi Province, Republic of Korea: Kyeong-Hun Cho, Seung-Kuk Lee; GEO DATA. 2024;6(2):77-86. Published online June 28, 2024; DOI: https://doi.org/10.22761/GD.2024.0008

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Abstract PDF: The Global Ecosystem Dynamics Investigation (GEDI), a full-waveform light detection and ranging system, translated the energy into a continuous waveform and recorded the signals chronologically for enabling geometric analysis of the vertical structure of vegetation. The National Aeronautics and Space Administration has used the land, vegetation, and ice sensor (LVIS) airborne laser altimeter system to measure terrain, tree heights, and vegetation carbon stocks in designated areas. The effectiveness of the collected LVIS data has been proven in mapping forest structures and biomass in tropical and temperate systems. Based on the successful achievements of LVIS, the GEDI aimed to establish a global range of forest data needed to analyze and predict the carbon cycle and climate change. The GEDI was launched aboard the SpaceX-16 in 2018 and successfully attached to the International Space Station (ISS) for a 2-year mission, but now extended until March 2023. Since being mounted on the ISS, GEDI measured over 10 billion cloud-free surface observations within the range of 51.6°N to 51.6°S. In this paper, GEDI mission is introduced, and the process of downloading, refining the GEDI level-2A product focused on Gyeonggi Province is outlined.

Research on the Vegetation Distribution around Wando Arboretum using Aerial Hyperspectral Imaging-Lidar: Dukyeop Kim, Junghyun Lee, Nam-Shin Kim; GEO DATA. 2023;5(4):339-346. Published online December 27, 2023; DOI: https://doi.org/10.22761/GD.2023.0047

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Abstract PDF: The average temperature of the Korean Peninsula over the past 30 years has risen 1.4°C compared to the early 20th century (1912-1941), exceeding the global temperature increase trend. Vegetation responds very sensitively to climate change. Changes in phenological response, such as fall fliage, fruiting time of vascular plants, and appearance of insects, have occurred. Areas around Wando Arboretum, the target area of this study, belongs to the subtropical climate zone. In this study, we aimed to provide basic data for systematic management of biological resources through out the survey of vegetation distribution in the area around Wando Arboretum where warm-temperate plants distribute, using hyperspectral imaging- LiDAR. As a result of converting the classification images of individual information using hyperspectral images and Lidar into objects by vegetation correlation, a total of 27 classifications were confirmed with 18 families, 24 species, and three varieties. In addition, a total of 29,884 individuals were identified.

Research on Tree Distribution in the Mt. Hambeak Area of Taebaek City Using Hyperspectral Image-LiDAR in 2019-2020: Seung Won Lee, Junghyun Lee, Nam-Shin Kim; GEO DATA. 2023;5(4):330-338. Published online December 27, 2023; DOI: https://doi.org/10.22761/GD.2023.0046

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Abstract PDF: This research was conducted to improve the vegetation survey method using hyperspectral imaging and LiDAR techniques. Using Ocean FX, spectral data of seven representative species of Mount Hambaek were acquired, and hyperspectral image data of Mount Hambaek were acquired using AisaFENIX 1K and microCASI-1920 sensors. For spectral data and hyperspectral image data, tree species data were extracted using the Spectral Angle Mapper (SAM) technique, and data such as tree species location, height, and diameter at breast height were extracted through LiDAR data. the results of an investigation A total of 39,351 trees were surveyed in the Mount Hambuk area, with 25,930 trees (65.9%) in Quercus mongolica, followed by Larix kaempferi with 6,805 trees (17.3%), Alnus sibirica with 3,625 trees (9.2%), Pinus dendiflora 1,764 trees (4.5%), Pinus koraiensis 605 trees (1.5%), Pinus rigida 405 trees (1.0%), and Betulaermanii 217 trees (0.5%), As a result of selecting 28 representative colonies to be surveyed and conducting on-site verification, 27 out of 28 colonies were found to be 96.43% accurate.

Research of Cluster of Trees in Mt. Geumbyeong, Sejong-si Using Remote Exploration Technology(2020-2021): Kihyun Kim, Euigeun Song, Jung-Hyun Lee, Nam-Shin Kim; GEO DATA. 2023;5(4):347-354. Published online December 27, 2023; DOI: https://doi.org/10.22761/GD.2023.0045

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Abstract PDF: Korea consists of 63% forested land, more than twice the global average (31%). Despite ongoing reforestation efforts since the initiation of erosion contron and greening project in 1973, many of the species planted during that plan were nonnative, such as Pinus rigida and Robinia pseudoacacia. The study area, Sejong City, is undergoing various development activities. Given the anticipated influx of nonnative species and the reduction of plant biodiversity, accurate survey and analysis are essential for the conservation of Sejong City. In recent years, remote sensing techniques have been utilized as an alternative to traditional vegetation surveys. Remote sensing employs hyperspectral imagery, and LiDAR, allowing for faster and more accurate data collection and analysis without direct on-site access. This study utilized remote sensing technologies, including hyperspectral imagery and LiDAR, to collect forest resource information in Mt. Geumbyeong, Sejong City. The area around Mt. Geumbyeong, is characterized by Quercus acutissima, Robinia pseudoacacia, and Pinus rigida. In total, there are 19 species, with 43,657 individual trees, an average height of 16.91 m, an average breast height diameter of 38.85 cm, and an average age of 68.99 years. The aim is to provide fundamental data for forest management, urban forestry, and restoration efforts amid various disturbances, such as development activities, in the area. Subsequent and ongoing data collection through additional surveys and environmental assessments in the vicinity would enable the analysis of species-specific growth rates, the impact of disturbance factors, forest management, and health assessments over multiple years.

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.

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.

Article

UAV Photogrammetry and LiDAR Based Dataset of Spartina anglica Distribution and High-resolution Topographic Map in Ganghwado: Keunyong Kim, Yeongjae Jang, Jingyo Lee, Joo-Hyung Ryu; GEO DATA. 2022;4(2):1-8. Published online June 30, 2022; DOI: https://doi.org/10.22761/DJ2022.4.2.001

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2 Citations

Abstract PDF

The Spartina anglica in the tidal flat at the southern part of Ganghwado, it is known that the distribution area has gradually expanded since it was officially announced as invasive alien species in 2015. The government and local governments are continuing their efforts to remove the S. anglica, and for this, continuous distribution change monitoring is required. This study extracted the data of distribution and extent area of S. anglica from Zenmuse P1 sensor, and generated the high-resolution Digital Elevation Model (DEM) from Zenmuse L1 sensor. Optical and Lidar images were photographed at an altitude of 70 m, and Ground Sampling Distance (GSD) of optical images was obtained at 0.9 cm and GSD of lidar images at 5 cm spatial resolution. However, the data are resampled and provided in GSD 25 cm to comply with the "National Spatial Information Security Management Regulations of the Ministry of Land, Infrastructure and Transport" and "Security Business Regulations of the National Intelligence Service".

Citations

Citations to this article as recorded by

Optimization of a multi-sensor satellite-based waterline method for rapid and extensive tidal flat topography mapping
Jingyo Lee, Keunyong Kim, Geun-Ho Kwak, Won-Kyung Baek, Yeongjae Jang, Joo-Hyung Ryu
Estuarine, Coastal and Shelf Science.2025; 318: 109235. CrossRef
Spartina anglica-Derived Carbon-Coated PE Separator for Physically Restraining Polysulfide Migration in Lithium-Sulfur Batteries
Ye Jin Jeon, Yuna Ha, Jang Kyun Kim, Youn-Jung Kim, Taeeun Yim
Korean Journal of Chemical Engineering.2024; 41(4): 1187. CrossRef

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