• Title/Summary/Keyword: 도시수목

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Detection of Individual Trees in Human Settlement Using Airborne LiDAR Data and Deep Learning-Based Urban Green Space Map (항공 라이다와 딥러닝 기반 도시 수목 면적 지도를 이용한 개별 도시 수목 탐지)

  • Yeonsu Lee ;Bokyung Son ;Jungho Im
    • Korean Journal of Remote Sensing
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    • v.39 no.5_4
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    • pp.1145-1153
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    • 2023
  • Urban trees play an important role in absorbing carbon dioxide from the atmosphere, improving air quality, mitigating the urban heat island effect, and providing ecosystem services. To effectively manage and conserve urban trees, accurate spatial information on their location, condition, species, and population is needed. In this study, we propose an algorithm that uses a high-resolution urban tree cover map constructed from deep learning approach to separate trees from the urban land surface and accurately detect tree locations through local maximum filtering. Instead of using a uniform filter size, we improved the tree detection performance by selecting the appropriate filter size according to the tree height in consideration of various urban growth environments. The research output, the location and height of individual trees in human settlement over Suwon, will serve as a basis for sustainable management of urban ecosystems and carbon reduction measures.

A 3D Visualization Tool for Supporting Forecasting of Air Cleaning Effect based on Tree Density Map" (수목의 대기오염 개선효과 예측을 지원하는 3D 시각화 도구)

  • Jeon, Hae-Joon;Ji, Hyun-Tae;Park, Jae-Wan;Kim, Sung-Ki
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.1609-1611
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    • 2013
  • 녹색 도시 조성의 주요 요소인 수목(tree)을 대상으로 도시 대기오염 개선수준을 평가하는 연구가 활발하다. 그러나 측정을 통해 수집된 데이터는 수목의 종류와 밀도에 따라 실시간으로 직관적인 도시 대기오염 개선 정도를 판단하는 데 애로가 있다. 본 연구는 이 문제를 해결하는 데 일조하는 소프트웨어 도구를 제시한다. 본 연구에서 개발한 소프트웨어 도구는 대기환경을 개선할 지역별 대기환경측정 정보를 이용하여 3 차원 모델링과 Google Map 서비스를 매쉬업(mash-up)하여 가상으로 수목을 심고 이에 따른 도시 대기오염 개선효과를 시각화한다. 본 연구결과는 도시대기환경 개선을 위한 정책개발과 예산수립에 일조할 것이다.

Design of Tree Management System using Mote in WSN (WSN에서 Mote를 이용한 수목 관리 시스템 설계)

  • Heo Min;Mo Soo-Jong;Kim Chang-Su;Lee Tae-Oh;Yim Jae-Hong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2005.10a
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    • pp.217-220
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    • 2005
  • Internal cities such as gray level been enclosed to building forest are paying a lot of efforts and expenses to change to green city toot park and street tree get put together. By the example, 'GREEN CITY of PUSAN 21' progress to decorate army facilities like the park, and to plant street trees in several places of city plan in Pusan. And urban environment that big citys of advanced nation are agreeable is making in the large park and road street trees at several places in downtown. Because price of tree for the park is very expensive, tree management system was all-important. In this paper, Motes deliver the sensor information in each tree through radio sensor network by server side. This information can use in state grasping of tree, harmful insects courtesy call etc and this system design was suggested to inform to mode of life administration scholars.

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Extraction of Spatial Information of Tree Using LIDAR Data in Urban Area (라이다 자료를 이용한 도시지역의 수목공간정보 추출)

  • Cho, Du-Young;Kim, Eui-Myoung
    • Journal of Korean Society for Geospatial Information Science
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    • v.18 no.4
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    • pp.11-20
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    • 2010
  • In situation that carbon dioxide emissions are being increased as urbanization, urban green space is being promoted as an alternative to find solution for these problems. In urban areas, trees have the ability to reduce carbon dioxide as well as to be aesthetic effect. In this study, we proposed the methodology which uses only LIDAR data in order to extract these trees information effectively. To improve the operational efficiency according to the extraction of trees, the proposed methodology was carried out using multiple data processing such as point, polygon and raster. Because the existing NDSM(Normalized Digital Surface Model) contains both the building and tree information, it has the problems of high complexity of data processing for extracting trees. Therefore, in order to improve these problems, this study used modified NDSM which was removed estimate regions of building. To evaluate the performance of the proposed methodology, three different zones which coexist buildings and trees within urban areas were selected and the accuracy of extracted trees was compared with the image taken by digital camera.

Design of Tree Management System using Low-Power Embedded Sensor Board in WSN (무선 네트워크 환경에서 저전력 임베디드 센서 보드를 이용한 트리 매니지먼트 시스템 설계)

  • Heo, Min;Mo, Soo-Jong;Kim, Chang-Su;Yim, Jae-Hong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.2
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    • pp.127-130
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    • 2005
  • Internal cities such as gray level been enclosed to building forest are paying a lot of efforts and expenses to change to green city that park and street tree get put together. By the example, 'GREEN CITY of PUSAN 21' progress to decorate army facilities like the park, and to plant street trees in several places of city plan in Pusan. And urban environment that big cities of advanced nation are agreeable is making in the large park and road street trees at several places in downtown. Because price of tree for the park is very expensive, tree management system was all-important. In this paper, Motes deliver the sensor information in each tree through radio sensor network by server side. This information can use in state grasping of tree, harmful insects courtesy call etc and this system design was suggested to inform to mode of life administration scholars.

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Estimation of Carbon Stock and Annual CO2 Uptake of Four Species at the Sejong National Arboretum - Pinus densiflora, Metasequoia glyptostroboides, Aesculus turbinata, Chionanthus retusus - (국립세종수목원 교목 4종의 탄소 저장량 및 연간 이산화탄소 흡수량 평가 - 소나무, 메타세쿼이아, 칠엽수, 이팝나무를 대상으로 -)

  • Hak Koo KIm;Yong Sik Hong;Yun Kyung Lim;I Seul Yun;Ki Seok Do;Chan Hyung Jung;Chi Mun Lee;Hoi Eun Roh;Sin Koo Kang;Chan-Beom Kim
    • Journal of Environmental Impact Assessment
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    • v.32 no.1
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    • pp.41-48
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    • 2023
  • This study was conducted to confirm the possibility of a new carbon stock in the Sejong National Arboretum, a major urban greenspace in Sejong-si. This study involved field and ground surveys of 1,336 trees, including 794 Pinus densiflora trees with a diameter at breast height (DBH) of above 5.5cm, which are the most planted in the Sejong National Arboretum, Chionanthus retusus 154 trees planted, Metasequoia glyptostroboides 216 trees, and Aesculus turbinata 172 trees as street trees. Measurements were performed from April to November. Based on the results of the survey, the carbon storage and annual carbon stock were calculated using the annual carbon stock estimation equation used in the forest carbon offset projects. As a result of comparing the carbon stock of the 12cm diameter class, which is the most distributed of four major trees, it was found in the order of C. retusus (0.0136tC/tree), P. densiflora (0.0126tC/tree), M. glyptostroboides (0.0092tC/tree), and A. turbinata (0.0076tC/tree). In addition, the field survey measurement data compared with terrestrial LiDAR measurement data for 20 trees showed a difference of 10.0cm in tree height and 1.7cm in diameter at breast height (p<0.05). In the future, additional carbon stock and annual uptake of other species planted in the arboretum are expected to promote the carbon uptake effect of the arboretum and contribute to the achievement of the national NDC. In the long term, it is also necessary to develop the carbon uptake factor of trees and shrubs mainly used to calculate the exact carbon uptake amount of trees mainly used in urban forests and gardens.

Community Structure and Ecological Characteristics of Berchemia berchemiaefolia Stands at Mt. Naeyon (내연산 망개나무 임분의 군집구조와 생태적 특성)

  • Yong Sik, Hong;I-Seul, Yun;Dong Pil, Jin;Chan Beom, Kim;Hak Koo, Kim;Jin Woo, Lee;Shin Koo, Kang
    • Journal of Korean Society of Forest Science
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    • v.111 no.4
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    • pp.538-547
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    • 2022
  • In this study, the population and community structure of Berchemia berchemiaefolia stands located at Mt. Naeyon (Gyeongbuk, Korea) were quantified, and multivariate analysis was done to determine the correlations between vegetation group types and environmental factors and to have reference data for the conservation and restoration of this species. In total, there were 164 B. berchemiaefolia trees in Mt. Naeyon. The average DBH of the trees was 24.5 cm, forming a normal distribution. It rarely appeared in an understory vegetation height of 3 m. About37.1% of the trees were branched. B. berchemiaefolia stands were classified into two groups: B. berchemiaefolia-Quercus serrata community and B. berchemiaefolia-Carpinus laxiflora community. Canopy gap, organic matter, exchangeable Ca, and cation exchange capacity were the major site characteristics affecting the distribution pattern of the stands. Currently, B. berchemiaefolia trees dominate in Mt. Naeyon, but depending on different habitat positions, the species was in a natural successional stage to C. laxiflora or C. cordata, which is a shade-tolerant species.

Development of Cartographic Models of Openspace Management for Practical Use of GIS (GIS를 활용한 녹지관리 지도모델의 개발)

  • Gwak, Haeng-Goo;Cho, Young-Hwan
    • Journal of Korean Society for Geospatial Information Science
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    • v.5 no.2 s.10
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    • pp.45-54
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    • 1997
  • A mathodology to manage effectively urban open space using GIS(Geographic Information System) was developed to explore the methology of efficient urban open space management focusing on landscaped trees. Cartographic modeling technique was used for practical use of GIS as a case study of the Childeren's park in Kwangju city. First, spatial and attribute information for efficient landscaped tree management was acqired through the development of a tree management cartographic model. Second the information of location and the attribute of individual trees can be applied as a means of decision making in tree management. Thira optimal path of tree management and priority of management in work process of the selected urban open space could be determined according to the objective of park management.

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