Research on the Vegetation Distribution around Wando Arboretum using Aerial Hyperspectral Imaging-Lidar
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, fruit...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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GeoAI Data Society
2023-12-01
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| Series: | Geo Data |
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| Online Access: | http://geodata.kr/upload/pdf/GD-2023-0047.pdf |
| _version_ | 1797306993040424960 |
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| author | Dukyeop Kim Junghyun Lee Nam-Shin Kim |
| author_facet | Dukyeop Kim Junghyun Lee Nam-Shin Kim |
| author_sort | Dukyeop Kim |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T00:50:53Z |
| format | Article |
| id | doaj.art-4f4e43bff50a4929a4705ed29788ddbe |
| institution | Directory Open Access Journal |
| issn | 2713-5004 |
| language | English |
| last_indexed | 2024-03-08T00:50:53Z |
| publishDate | 2023-12-01 |
| publisher | GeoAI Data Society |
| record_format | Article |
| series | Geo Data |
| spelling | doaj.art-4f4e43bff50a4929a4705ed29788ddbe2024-02-15T04:56:09ZengGeoAI Data SocietyGeo Data2713-50042023-12-015433934610.22761/GD.2023.0047111Research on the Vegetation Distribution around Wando Arboretum using Aerial Hyperspectral Imaging-LidarDukyeop Kim0Junghyun Lee1Nam-Shin Kim2Researcher, Ecological Restoration Team, National Institute of Ecology, 1210 Geumgang-ro, Maseo-myeon, Seocheon-gun, 33657 Chungcheongnamdo, South KoreaRepresentative, Ecological ICT Research Institute, 27 Naejeong-ro, Gunsan, 54042 Jeollabuk-do, South KoreaTeam Leader, Ecological Restoration Team, National Institute of Ecology, 1210 Geumgang-ro, Maseo-myeon, Seocheon-gun, 33657 Chungcheongnamdo, South KoreaThe 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.http://geodata.kr/upload/pdf/GD-2023-0047.pdfclimate changehyperspectral imaginglidarvegetation distributionwando arboretum |
| spellingShingle | Dukyeop Kim Junghyun Lee Nam-Shin Kim Research on the Vegetation Distribution around Wando Arboretum using Aerial Hyperspectral Imaging-Lidar Geo Data climate change hyperspectral imaging lidar vegetation distribution wando arboretum |
| title | Research on the Vegetation Distribution around Wando Arboretum using Aerial Hyperspectral Imaging-Lidar |
| title_full | Research on the Vegetation Distribution around Wando Arboretum using Aerial Hyperspectral Imaging-Lidar |
| title_fullStr | Research on the Vegetation Distribution around Wando Arboretum using Aerial Hyperspectral Imaging-Lidar |
| title_full_unstemmed | Research on the Vegetation Distribution around Wando Arboretum using Aerial Hyperspectral Imaging-Lidar |
| title_short | Research on the Vegetation Distribution around Wando Arboretum using Aerial Hyperspectral Imaging-Lidar |
| title_sort | research on the vegetation distribution around wando arboretum using aerial hyperspectral imaging lidar |
| topic | climate change hyperspectral imaging lidar vegetation distribution wando arboretum |
| url | http://geodata.kr/upload/pdf/GD-2023-0047.pdf |
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