Research of Cluster of Trees in Mt. Geumbyeong, Sejong-si Using Remote Exploration Technology(2020-2021)

Abstract

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.

Keywords

• cluster of trees
• hyperspectral imagery
• lidar
• mt. geumbyeong
• sejong-si