• Proceedings of the KSRS Conference
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• 2006.03a
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• pp.127-130
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• 2006

SRTM 데이터와 USGS의 NED (National Elevation Datasets) 데이터를 사용하였으며 두 데이터를 차분함으로써 식생수고도(vegetation height map)를 얻었다. 또한 차분값과 shape 파일에 포함된 식수년도의 비교를 통해 상관관계여부를 판단하고자 했다. 회귀분석을 통해 차분데이터와 식수년도 사이의 큰 상관관계가 존재함을 확인할 수 있었으며 결국 수령추정과 수령정보의 맵핑이 가능함을 보였다. 추가적으로 지역별 지형특성, 숲의 균일도 등에 의해 선형성이 영향을 받는지 관찰하였다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.1D
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• pp.203-209
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• 2006

SAR (Synthetic Aperture Radar) technology, which is not influenced by cloud cover because of using electromagnetic wave of long wavelength, has an advantage in mapping the earth. NASA, recognizing these strong points of SAR, launched SRTM (Shuttle Radar Topography Mission), and acquired the topographic information of the earth. SRTM and NED (National Elevation Data) of USGS were used for the research and vegetation height map was produced through differentiating the two data. Correlation between SRTM-NED and planting year was analyzed to see the relationship. Strong correlation was detected and it shows the feasibility of estimating timber age and eventually creating timber age map from SRTM-NED. Additional analyses were conducted to check if the linearity is influenced by regional characteristics and forest uniformity. As results, the correlation between SRTM-NED and timber age is influenced by roughness of the terrain. Overall, this paper shows that timber age estimation using SRTM and NED can be sufficiently practical.

• Journal of the Korea Society of Computer and Information
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• v.28 no.2
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• pp.99-110
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• 2023

In this paper, we propose a system termed ForestLi that can accurately estimate the diameter at breast height (DBH) and tree height using LiDAR point cloud data. The ForestLi system processes LiDAR point cloud data through the following steps: downsampling, outlier removal, ground segmentation, ground height normalization, stem extraction, individual tree segmentation, and DBH and tree height measurement. A commercial system, such as LiDAR360, for processing LiDAR point cloud data requires the user to directly correct errors in lower vegetation and individual tree segmentation. In contrast, the ForestLi system can automatically remove LiDAR point cloud data that correspond to lower vegetation in order to improve the accuracy of estimating DBH and tree height. This enables the ForestLi system to reduce the total processing time as well as enhance the accuracy of accuracy of measuring DBH and tree height compared to the LiDAR360 system. We performed an empirical study to confirm that the ForestLi system outperforms the LiDAR360 system in terms of the total processing time and accuracy of measuring DBH and tree height.

• Korean Journal of Plant Resources
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• v.34 no.4
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• pp.346-361
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• 2021

The range of D. spathulata identified in this survey was between N 35° 24' 58" ~ N 35° 26' 35", E 129° 05' 43" ~ E 129° 07' 04". It is located at an altitude of 98~592 m. The soil pH was strongly acidic in the range of 4.2~4.9, with a canopy openness of 18.56% and a chlorophyll index of 36.74 ± 2.80. As a result of the TWINSPAN analysis, 20 plots of 100 m² each were divided in 4 communities: Pinus densiflora community, Quercus monglica-Diabelia spathulata community, Quercus serrata-Diabelia spathulata community and Carpinus tschonoskii subassociation. The result of species diversity was 0.7615, and evenness and dominance were found to be 0.6077 and 0.3923, respectively. The height of D. spathulata is up to 3.4 m, and the average height is 1.1 m, with most of the species distributed as shrubbery and herbaceous. The average population density of the 20 plots was 1.635 individuals/m², the height range of flowering was 1.0 ~ 1.8 (aver. 1.39 m) and the rate of flowering was 27.37%. It's propagation pattern was mainly formed by extending the rhizome to the side, creating a colony of ground stems.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.4
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• pp.158-174
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• 2018

The leaf area index (LAI) is a major factor explaining the photosynthesis of vegetation, evapotranspiration, and energy exchange between the earth surface and atmosphere, and there have been studies on accurate and applicable LAI estimation methods. This study aimed to investigate the relationship between the actual LAI data, UAV image-based vegetation index, canopy height and satellite image (Sentinel-2) LAI and to present an effective LAI estimation method using UAV. As a result, among the six vegetation indices in this study, NDRE ($R^2=0.496$) and CIRE ($R^2=0.443$), which contained red-edge band, showed a high correlation. The application of the canopy height model data to the vegetation index improved the explanatory power of the LAI. In addition, in the case of NDVI, the saturation problem caused by the linear relationship with LAI was addressed. In this study, it was possible to estimate high resolution LAI using UAV images. It is expected that the applicability of such data will be improved if calibration and correction steps are carried out for various vegetation and seasonal images.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2018.10a
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• pp.47-47
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• 2018

붉가시나무는 기후변화에 따라 분포 확산이 예측되고 목재로서의 이용가치가 증가하고 있다. 본 연구는 국내에서 붉가시나무의 자원량 및 생육환경을 파악하기 위하여 국내 분포 및 자생지의 식생구조를 분석하였다. 분포 범위 조사 결과, 제주도를 비롯한 남해안의 도서지역에 주로 분포하는데, 제주도 남부지역 약 200~800m에 분포하며 가거도, 완도, 진도 등에 주로 분포하였다. 지역별 자생지의 입지분석 결과, 교목층의 수고는 제주도에서 17.3m로 가장 높고 가거도의 경우 11.3m로 가장 낮았다. 또한 가거도 자생지의 경우 노출암 비율 70.7%, 평균 경사도 약 $30^{\circ}$로 경사가 매우 급하고 토양층이 가장 빈약하였다. 반면, 제주도에서는 계곡 사면이나 완만한 경사의 산록지대에 주로 분포하였다. 자생지의 식생구조를 파악하기 위하여 수종별 평균중요도지수를 산출한 결과, 교목층에서는 붉가시나무가 가장 높았다. 아교목층의 평균중요도지수는 제주도, 완도, 진도 자생지의 경우 동백나무가 각각 150.93, 83.54, 91.38로 가장 높았는데 이는 동백나무의 밀도가 상대적으로 높았기 때문이다. 반면 가거도 자생지에서는 붉가시나무의 평균중요도지수가 66.55로 가장 높게 산출되었다. 자생지 내 수종의 흉고직경에 따른 수고의 분포는 제주도, 진도, 완도 자생지의 경우 붉가시나무와 기타 수종이 전체 층위에서 고르게 분포하였지만 가거도 자생지에서는 상층일수록 경쟁 종없이 단일종이 분포하는 단순림으로 나타났다. 이 같은 단순림에서는 일시적인 교란에 의해 상층 개체가 없어지면 안정적으로 후대 개체를 생산할 수 없기 때문에 숲 가꾸기와 같은 적극적인 조절이 필요한 것으로 판단된다. 종다양도지수 분석결과, 층위가 높을수록 균재도가 낮게 나타났다. 이와 같은 연구결과는 붉가시나무림의 조성이나 안정적 유지 등 인위적 조절을 위한 기초 자료로 활용 할 수 있을 것으로 판단된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.523-523
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• 2023

하천의 특성에 따라 활착하는 식생 및 형태는 다르며, 이러한 식생분포 특성은 다시 하천 수위와 유속 등에 영향을 미친다. 이처럼 식생과 하천의 상호작용을 이해하고, 이를 하천환경을 개선하는 하천관리를 위한 정보로 도출하기 위해서는 하천에 서식하는 식생에 대한 기초 정보를 수집하고 종합할 필요가 있다. 최근 기후변화와 강수 특성의 변화로 인해 국내 하천에서는 하천 규모와 위치에 관계없이 하도내 식생이 급격하게 증가하고 있다. 하천 내 식생의 활착은 흐름저항에 영향을 줄 수 있고 이는 홍수 발생시 통수능의 감소로 인해 결과적으로 홍수 피해를 유발할 수 있다. 특히 수목 식생이 패치나 군락의 형태로 하천에 존재할 경우 적은 양으로도 흐름저항을 증가시켜 홍수피해 규모가 커질 수 있다. 따라서 식생이 흐름저항에 미치는 영향을 파악하기 위해서는 국내 하천에 서식하는 수변식생의 종별 특성과 패치와 군락 형태의 물리적 특성 등을 이해할 필요가 있다. 국내 하천에서는 패치나 군락 형태로 서식하는 수목 식생 중 버드나무가 우점하는 것으로 알려져 있다. 따라서 본 연구에서는 한국 하천에 분포하는 버드나무속 식생을 중심으로 입지 환경 및 군집 분포에 대해 조사하고 하천과 식생의 관계를 분석한 문헌들을 중심으로 그 결과들을 살펴보고자 한다. 본 연구에서는 하천 수변에 서식하는 버드나무 5종(왕버들, 선버들, 갯버들, 키버들, 버드나무)의 수목별 특성과 버드나무속의 특징, 연도별 하천별 버드나무 데이터를 제시하였다. 버드나무속은 종에 따라 개화기, 결실기, 수고 등에서 차이를 보였으나 대체로 저수로 호안과 범람원에 분포하는 것으로 나타났다. 특히 물환경정보시스템의 수변식생 자료(2014년부터 2021년, 2015년 제외)에 따르면 환삼덩굴, 쑥, 달뿌리풀이 매년 80% 이상의 출현률을 보이며 가장 상위에 존재하였으며, 버드나무속 식생 중에서는 버드나무(Salix koreensis)가 매년 60% 이상의 출현률로 가장 드넓게 분포하고 있는 것으로 나타났다.

• Korean Journal of Ecology and Environment
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• v.46 no.4
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• pp.561-569
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• 2013

This study examines locational environment factors that may affect the vegetation structure in the forests of Naejang National Park. To that end, we selected LAI (Leaf Area Index), diameter at breast height, and tree height as structural variables as well as altitude above sea level, gradient, slope direction, soil moisture, topographic location, and amount of solar radiation as locational environment factors, using the method of canonical correlation analysis in order to find out correlation between them. As to the simple correlation between the locational environment factors and structural variables, the correlation coefficient was relatively low (0.6). The values of LAI, measured along the ridge with higher altitudes, decreased as the soil moisture and solar radiation increased. However, LAI increased as the gradient increased and the slope direction faced the north (farther from the east). In respect of the diameter at breast height, the diameter decreased as the altitude and gradient increased. But the diameter increased as the moisture and solar radiation increased. The tree height decreased as the moisture increased and the site was closer to the ridge. These various correlations show a variety of locational environment factors in the national park, implying that the structural variables are affected by complex locational environment factors. This study conducted a canonical correlation analysis on locational environment factors which may affect the vegetation structure, and the result showed that LAI increased and tree height & diameter at breast height decreased as the solar radiation & moisture decreased and altitude increased. Although more factors that may affect vegetation structure (e.g. climate) should be taken into account, this study is significant in that the vegetation structure, which can adapt to more unfavorable conditions in terms of solar radiation, moisture, and higher altitudes, could be inferred in a statistical way. The results of this study, especially the locational environment factors based on DEM, can be used for assessing diversity of vegetation structure in a forest and for monitoring the structure in a national park on a regular basis so as to establish more effective maintenance plans of a park.

• Journal of Korean Society of Forest Science
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• v.84 no.2
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• pp.247-257
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• 1995

This research carried out forest community classification on the basis of the methods of ZM school, in order to furnish useful information needed for forest management, and for afforestation and preservations of Abies koreana forest which was Korean native species, and the research results could be summarized as follows. Abies koreana forest was divided into 10 vegetation units ; This forest was divided into Abies koreana-Quercus mongolica community and Abies koreana-Sasa quelpartensis community. Abies koreana-Quercus mongolica community was divided into Tripterygium regelii group, Patrinia saniculaefolia group, and Typical group, and Tripterygium regelii group seas divided into Typical subgroup. Pimpinella brachycarpa subgroup, and Hemirocallis fulva subgroup. Abies koreana-Sasa quelpartensis community was divided into Berberis koreana group, Trachelospermum asiaticum var. intermedium group, and Typical group. Berberis koreana group was divided into Typical subgroup and Hepatica asiatica subgroup, and Tranchelospermum asiaticum var. intermedium group was divided into Hepatica asiatica subgroup and Typical subgroup. According to the results of the analysis by coincidence method, Abies koreana-Quercus mongolica community represented in Mt. Chiri, Mt. Deokyu and Mt. Kaya which were located in the Sobaek mountains, Abies koreana-Sasa quelpartensis community represented in Mt. Hanla. Therefore it was thought that Abies koreana forest was classified by geographical position, and vegetation units of Abies koreana forest tended to be classified by the altitude and topography. As for DBH and height of Abies koreana, mean DBH and height of Abies koreana-Quercus mongolica community were each 28.4cm, 10.6m that were larger than mean DBH and mean height(each 23.6cm, 6.3m) of Sasa quelpartensis community. Among Abies koreana-Quercus mongolica community, Patrinia saniculae-folia group had the smallest mean DBH and mean height(20cm, 5m), and among Abies koreana-Sasa quelpartensis community, Typical group had the smallest mean DBH and mean height(4cm, 3m).

• Journal of Digital Convergence
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• v.18 no.11
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• pp.427-432
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• 2020

In order to establish an effective forest management plan, it is necessary to investigate tree management information such as tree height and DBH(Diameter at breast height). However, research on convergence and application of data acquisition technology to improve the efficiency of existing forest survey methods is insufficient. Therefore, in this study, tree management information was constructed and analyzed using point cloud data acquired through a 3D scanner. Data on the study site was acquired using fixed and mobile 3D scanners, and the efficiency of the mobile 3D scanner was presented through comparison of working hours. In addition, tree management information for object management was constructed by classifying vegetation by object using point cloud data, and by constructing information on chest height diameter and height. As a result of the accuracy evaluation compared with the conventional measurement method, the difference in tree height was 0.02-0.09m and DBH was 0.01-0.04m. If information on the location of vegetation and crowns of each object is constructed through additional research in the future, the efficiency of the work related to forest management information construction can be greatly increased.