• Journal of Korean Society of Forest Science
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• v.110 no.4
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• pp.577-589
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• 2021

Soil seed bank community contributes to the long-term conservation of plant diversity and vegetation dynamics, and their decreasing diversity and density with soil depth provide critical perspectives (deterministic and stochastic) for understanding the community disassembly process. We analyzed changes in species composition and diversity and structuring patterns by soil layer (top and bottom), including surface vegetation, in Gwangneung Forest, a mature forest with a vegetation climate in the temperate central part of the Korean Peninsula. From two layers of soil collected with a vertical difference of 10 cm, 934 specimens of 27 families, 40 genera, 44 species, three varieties, and 47 taxa, germinated. Although species diversity and germination density decreased in most comparative characteristics, including growth type, there was no statistical significance due to large deviations. Within-group variability of species composition was similar in the upper and lower soils, as was the decline pattern in co-occurred species (ζ-diversity) and change in species retention probability. The structuring process of the community composition in the two soil layers was fitted with an exponential correlation rather than a power function, demonstrating the dominance of the stochastic process. The pattern in diversity and species turnover according to soil depth in Gwangneung Forest was discovered to be structured by stochastic random events, such as seed vertical movement rather than interaction with trait characteristics.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.30 no.3
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• pp.259-268
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• 2012

This paper aims to estimate the carbon dioxide stocks in forests using airborne LiDAR data with a density of approximate 4.4 points per meter square. To achieve this goal, a processing chain consisting of bare earth Digital Terrain Model(DTM) extraction and individual tree top detection has been developed. As results of this experiment, the reliable DTM with type-II errors of 3.32% and tree positions with overall accuracy of 66.26% were extracted in the study area. The total estimated carbon dioxide stocks in the study area using extracted 3-D forests structures well suited with the traditional method by field measurements upto 7.2% error level. This results showed that LiDAR technology is highly valuable for replacing the existing forest resources inventory.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.3
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• pp.41-47
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• 2011

Processing of the raw LiDAR data requires the high-end processor, because data form is a vector. In contrast, if LiDAR data is converted into a regular grid pattern by filltering, that has advantage of being in a low-cost equipment, because of the simple structure and faster processing speed. Especially, by using grid data classification, such as Quadtree, some of trees and cars are removed, so it has advantage of modeling. Therefore, this study presents the algorithm for automatic extraction of ground points using Quadtree and refion growing method from LiDAR data. In addition, Error analysis was performed based on the 1:5000 digital map of sample area to analyze the classification of ground points. In a result, the ground classification accuracy is over 98%. So it has the advantage of extracting the ground points. In addition, non-ground points, such as cars and tree, are effectively removed as using Quadtree and region growing method.

• Journal of Forest and Environmental Science
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• v.10 no.1
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• pp.8-24
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• 1994

Because of the underground existence of roots, a few studies have been reported on root system. The developmental information of roots should be understood for the studies of specific tree traits and the influence of such traits on the soil surface fixation. In order to clarify the specific character of pine forest in Kangwon Province, the investigation on the form and distribution of root system of pine trees were carried out for 5 trees in the Campus Forest, Kangwon National Univ.. Root form was very well in flat root. As soil depth was approximatly 50cm, fine roots were very sparsly distributed(+), roots of 0.2cm in diameter were most common and roots > 0.2cm were very rare, also thickness thined. 60~70% all the roots were developed at the depth of 0~30cm, where big roots were below 0.9cm in diameter and fine roots were higly sparse(+).

• Proceedings of the KIPE Conference
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• 2011.07a
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• pp.95-96
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• 2011

최근 자동차와 같이 움직이는 장치에 부착된 태양광 모듈에 대한 연구가 활발히 이루어지고 있다. 이러한 이동식 태양광모듈 장치는 건물이나 기타 수목 그림자에 수시로 노출되는바 그에 따른 효율감소가 발생한다. 이에 본 논문은 어떠한 환경에서도 Maximum Power를 빠른 속도로 찾아 효율감소를 저감하는 방안을 강구하고자 한다. 제안된 알고리즘은 일사량에 따른 태양광 모듈의 V I곡선에서 MPPT를 함에 V 인자와 I 인자로 구분하여 트래킹 타임 스텝을 가변 설정하여 기존의 방식보다 우수한 동특성을 갖는 알고리즘을 제안한다. 본 논문에서는 시뮬레이션을 통해 제안된 구조의 타당성과 우수성을 검증하였다.

• Proceedings of the KSRS Conference
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• 2006.03a
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• pp.149-152
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• 2006

LiDAR(Light Detection and Ranging)는 레이저 광선을 주사하여 목표물에 도달하는 시간측정을 바탕으로 x, y, z 좌표의 고밀도의 정밀한 점 자료를 획득하며, 도시 지역의 형상 추출, 수치고도모델 제작 및 산림 지역에서 수고 측정 등의 생태학적인 분야에 이르기까지 그 활용분야가 점차로 증대되고 있다. 이 연구에서는 LiDAR 시스템이 목표물에서 반사되어 들어오는 신호(return)를 여러 번에 걸쳐 나누어 기록하는 자료를 이용하여 수목의 수관층 및 하층 식생 등으로 복잡한 구조를 보이는 산림지역에서 LiDAR 신호가 투과되는 특성을 이용한 지수를 계산하였다. 수관점유율과 관련성을 보이는 지수는 향후 엽면적지수(LAI)와의 객관적인 관계를 규명하게 될 것이다.

• Korean Journal of Environment and Ecology
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• v.14 no.1
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• pp.18-27
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• 2000

지리산국립공원 동부지역인 경남하동군 화개면에 위치하는 삼신봉(해발 1,284m) 산림 중 산불이 발생하였던 지역의 식생회복현황을 파악하기 위해 산불이 발생하였던 지역에 20개 조사구 대조지역에 12개 조사구를 설정하고 연구를 수행하였다 산불이 발생하였던 지역에 설정한 20개 조사구를 대상으로 TWINSPAN과 DCA를 분석한 결과 신갈나무군집(I) 신갈나무-쇠물푸레군집(II) 으로 분리되었고 대조지역에 설정한 조사구는 신갈나무군집(II)이었다 군집 I과 군집II에서 교목층과 아교목층의 대부분 수목이 고사상태이었고 관목층에서는 산화후 천이 초기에 나타나는 조록싸리가 우점하고 있었다 상대우점치와 유사도지수를 분석한 결과 산불이 발생하였던 신갈나무군집(I) 신갈나무-쇠물푸레군집(II) 은 대조구인 신갈나무군집(III)과 유사도지수분석에서 유사성이 높았는데 산불발생 이후 피해를 입은 신갈나무가 맹아에 의해 회복속도가 빠른 것으로 추정되었다 Shannon의 종다양도는 산불지역(군집 I,II)에서 각각 0.3259, 0.4727이었고 대조구 (군집III)는 0.1084로 나타났다.

• Journal of the Korean Wood Science and Technology
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• v.2 no.2
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• pp.4-4
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• 1974

In this paper, the microscopic structure of wood was investigated for following species in Malaysia.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2001.06a
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• pp.3-4
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• 2001

논에서의 증발산과 에너지매분 및 경계층 구조를 이해하기 위한 집중관측 실험-Hari Intensive Field Experiment (HIFE)-이 강화도 하리 에서 있었다 이와 함께 산림에서의 증발산과 에너지 배분을 이해하기 위해 광릉수목원 침엽수림과 활엽수림에서 장기관측을 수행하고있다. 본 연구에서는 봄철 산림과 논에서의 증발산과 이를 조절하는 인자에 대한 분석결과를 논하고자 한다.(중략)

• Journal of the Korean Institute of Landscape Architecture
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• v.43 no.5
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• pp.55-64
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• 2015

In this study, negative air ions, which can increase comfort and positively influence human health, was set as an evaluative factor for school forests. The characteristics, location and microclimate of school forests were examined to determine an effective school forest model for maximum negative air ion generation. It also aimed to provide basic data for the development of urban green fields. The negative air ion concentrations were different according to the green types. The order from the highest to the lowest was: single-layer structure($934ea/cm^3$) > multi-layer structure($794ea/cm^3$) > grass($553ea/cm^3$) > bare ground($529ea/cm^3$). As for the correlation with microclimate, negative air ion concentration was negatively correlated with temperature. The negative air ion concentration was significantly different according to planting type. The negative air ion concentration was higher at single-layer structure sites than at multi-layer structure sites, which appears to indicate that the temperature is higher when the vegetation structure was single-layer compared to multi-layer. Wind speed was higher at the single-layer planted site than at the multi-layer planted site. The vegetation wind shielding effect was lower at single-layer planted sites than at multi-layer planted sites. The single-layer planted site provided more favorable conditions for the generation and dispersion of negative air ions.