• 한국물환경학회지
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• 제32권2호
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• pp.205-215
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• 2016

In order to improve water quality in the Paldang Lake, a riparian vegetation belt, treatment wetland, and artificial floating island were designed for introduction in the upland field, the estuary of tributaries, and the section of water facing mountainous land, respectively. We synthesized vegetation information collected from a reference river and found that herbaceous, shrubby, and tree vegetation zones tended to be dominated by Phragmites japonica, Phalaris arundinacea, etc.; Salix gracilistyla, S. integra, etc.; and S. koreensis, S. subfragilis, and Morus alba, respectively. In our plan, the herbaceous vegetation zone, which is established on floodplains with a high frequency of disturbance, will be left in its natural state. A shrubby vegetation zone will be created by imitating the species composition of the reference river in the ecotone between floodplain and embankment. A tree vegetation zone will be created by imitating species composition on the embankment slope. In the treatment wetland, we plan to create emerged and softwood plant zones by imitating the species composition of the Zizania latifolia community, the Typha orientalis community, the P. communis community, the S. integra community, and the S. koreensis community. The floating island will be created by restoring Z. latifolia and T. orientalis for water purification purposes.

• Ecology and Resilient Infrastructure
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• 제8권4호
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• pp.233-244
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• 2021

본 연구에서는 식생이 무성한 제방의 이상유무 점검을 위한 지상 LiDAR(Light Detection And Ranging) 측량의 적용성을 검토하였다. 지상 LiDAR 측량으로 생성된 제방의 영상 점군 자료에 색상필터 및 형태필터를 적용하여 각 기법별 정확성과 특성을 평가하였다. 임진강 제방의 영상 점군 자료를 이용하여 CIVE, ExG, ExGR, ExR, MExG, NGRDI, VEG, VVI, ATIN, ISL 등의 10가 식생 제거 필터를 적용하였다. 결과에 의하면 정확성은 ISL, ATIN, ExR, NGRDI, ExGR, ExG, MExG, VVI, VEG, CIVE 등의 순서로 나타났다. 색상필터는 지반 구분에 한계를 보였으며 풀꽃을 지반으로 구분하기도 했다. 형태필터는 지반 구분 정확도가 우수하나 거석을 식생으로 인식하는 한계도 보였다. 전체적으로 형태필터가 우수하나 계산 시간에서 10 배 정도 소요되었다. 정확도와 속도 향상을 위해서 형태필터와 색상필터를 결합한 복합필터에 대한 연구가 필요하다.

• 한국농공학회논문집
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• 제66권3호
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• pp.1-14
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• 2024

Gaining an accurate 3D stream geometry has become feasible with Unmanned Aerial Vehicle (UAV), which is crucial for better understanding stream hydrodynamic processes. The objective of this study was to investigate series of filters to remove stream vegetation and propose the best method for generating Digital Terrain Models (DTMs) using UAV-based point clouds. A stream reach approximately 500 m of the Bokha stream in Icheon city was selected as the study area. Point clouds were obtained in August 1st, 2023, using Phantom 4 multispectral and Zenmuse L1 for Structure from Motion (SfM) and Light Detection And Ranging (LiDAR) respectively. Three vegetation filters, two morphological filters, and six composite filters which combined vegetation and morphological filters were applied in this study. The Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) were used to assess each filters comparing with the two cross-sections measured by leveling survey. The vegetation filters performed better in SfM, especially for short vegetation areas, while the morphological filters demonstrated superior performance on LiDAR, particularly for taller vegetation areas. Overall, the composite filters combining advantages of two types of filters performed better than single filter application. The best method was the combination of Progressive TIN (PTIN) and Color Indicies of Vegetation Extraction (CIVE) for SfM, showing the smallest MAE of 0.169 m. The proposed method in this study can be utilized for constructing DTMs of stream and thus contribute to improving the accuracy of stream hydrodynamic simulations.

• 한국환경복원기술학회지
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• 제7권2호
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• pp.75-86
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• 2004

This study aims to figure out ecological characteristic of natural forests focusing on vegetation as a way of ecological renovation for the restoration of naturalness for golf courses that were constructed in the Country and to present vegetation models and appropriate tree species for the purpose. The study site is P golf club, which is located in Gapyong-gun, Kyeonggi Province. The site is within a forest where the grade from the natural ecology map is the first one and the level from the green index accounts for the eight, thus showing a typical environment for a golf course in terms of location. The location of the site explains a reason for restoration. The major substance of the study is to conduct ecological evaluation of vegetation structures around and inside the golf course and to present a vegetation model. In order to evaluate the ecological characteristics of the vegetation structures, the analysis of the study covered succession stages, multi-layer vegetation structures and species diversity. Plant communities that have high species diversity were selected for the vegetation model and proper density and species were proposed considering the number of species and individuals and distances between trees. The vegetation restoration model targets succession into an oak forest. Within a unit of 100 $m^2$, the recommended model include a tall-tree layer with 11 trees such as Quercus serrata and Quercus mongolica, a sub-tall-tree layer with 12 trees including Quercus mongolica, Quercus serrata, Prunus sargentii, Fraxinus rhynchophylla and Acer pseudo sieboldianum, a shrub layer with 32 trees from 16 species, and a grass layer with a cover rate of 45 %. The proposed vegetation restoration model needs to apply to : 1) damaged natural forests by the construction of golf courses; 2) boundaries between golf courses and surrounding forests; 3) buffer zones; 4) open spaces in between courses; and 5) areas between greens and tees where open spaces are available in a mass. In conclusion, one of the most important factors in presenting a vegetation model for the restoration of naturalness in the golf course and other damaged forests is to provide multi-layer vegetation structures that are composed of native species. As for the specific application for the site, it is recommended to manage the vegetation in such a way that the environment of the site can have a similar environment to the surrounding forest which is expected to succeed into an oaks-dominant one.

• 환경영향평가
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• 제6권2호
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• pp.181-188
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• 1997

Vegetation is an important factor in EIA(Environmental Impact Assessment) and it is assessed according to DGN(Degree of Green Naturality) in EIS(Environmental Impact Statement) preparation. But DGN has room for improvement of assessing vegetation Status. This study introduced NDVI(Normalized Difference Vegetation Index) for improving status assessment method that subjects to DGN. For the application of NDVI, Landsat TM data of Chunchon on May 2, 1989 and June 1, 1994, and data of Ulsan on November 5, 1984, November 2, 1992 and May 9, 1994 were used. It compared NDVI with DGN according to season and location. The correlation coefficient value for the spring image (1994, 0.7, p=0.01) was proved to be higher than that of autumn (1984, 0.5, p=0.01).

• 한국측량학회지
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• 제35권6호
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• pp.545-552
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• 2017

풍성사구는 지표, 바람과 식생간의 상호 작용에 의해 유지${\cdot}$발달되는 대표적인 사구이다. 이러한 사구의 변형을 예측하는 모형을 개발하는 것은 토지 황폐화와 같은 지형 경광의 이해와 관리의 효율성을 높이는데 매우 중요하다. 하지만 기존의 모형에서는 사구의 장기 거동에 대한 연구와 이를 이용한 실제 지형 적용에 관한 연구는 미비한 실정이다. 따라서, 본 연구에서는 식생을 고려한 바람-식생 모형을 실제 지형에 적용하고, 장기 거동을 실제 데이터와 비교하여 바람-식생 모형의 적용성을 분석하였다. 분석을 통해서 바람-식생 모형과 무인항공기 데이터를 이용하는 방법이 경계면을 제외하고 실제 사구지형의 변화와 최대 1m 내외의 오차로 나타나 장기 거동 분석에 효과적인것을 알 수 있었다.

• 한국산학기술학회논문지
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• 제13권12호
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• pp.6151-6158
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• 2012

친환경 하천사업의 활성화로 식생매트의 사용은 증가하고 있으나 수리적 안정성에 대한 평가는 미흡한 실정이다. 본 연구는 호안용 식생매트 제품의 객관적인 수리안정성 시험 기법 개발을 위해 수행하였다. 이를 위해서 식생매트 2종에 대한 실규모 실험을 수행하여 수리량을 측정하고 분석하여 작용 소류력을 계산하였다. 1차원 부정류 모형을 이용하여 최적 조도계수를 결정하고 작용 소류력을 계산하였다. 각 유량의 시험 후에는 매트 표면 및 기반층의 변동 여부를 기록하여 평가하였으며 이에 따라 매트표면의 손상 유형 3가지 및 기반층의 손상 유형 2가지를 제시하였다. 본 연구에서는 식생매트의 표면 변동이 있더라도 하부 기반층의 유실이 발생하지 않는 경우에는 안정한 상태로 제안하였다. 이에 따라 실험체 2종의 허용소류력을 평가하였으며 철망으로 보강된 식생매트가 허용 소류력 측면에서 효과가 있는 것을 확인할 수 있었다.

• 대한토목학회논문집
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• 제36권5호
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• pp.831-838
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• 2016

최근 해안공학분야에서 식생을 활용하는 연안방재시스템에 관한 관심이 증가하고 있다. 이에 본 연구에서는 쓰나미-식생 비선형 상호작용에 의한 파동장과 유동장을 해석하기 위하여 식생항력에 따른 에너지소산을 직접 해석할 수 있는 3차원 수치파동수조를 기존의 3-D N-S solver (LES-WASS-3D ver. 2.0, HYMO-WASS-3D)를 토대로 개발하였다. 그리고 기존의 실험결과와 비교 및 검토를 통한 수치파동수조의 적용성을 평가하였다. 그 결과 레이놀즈수에 따라 능동적으로 추정되는 항력계수를 고려한 경우가 평균 항력계수를 적용한 경우보다 실험에서 얻어진 각 지점의 시간파형을 잘 재현하였다. 또한 식생밀도 및 입사파고에 따라 계산된 고립파의 전달률이 실험의 측정값과 높은 일치도를 나타내었다. 이로써 본 연구에서 식생에 의한 항력으로서 동적항력계수를 적용한 3차원 수치파동수조의 타당성 및 유효성을 확인하였다.

• 한국환경복원기술학회지
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• 제14권5호
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• pp.127-136
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• 2011

This study was conducted on the field application for a method which is currently used. Although the method was performed with experimental knowledge, this study attempted to approach scientific ways through thirty sets of test-bed and three times monitoring limited by control variations for three months. The factors on previous studies are slope location, slope degree, type (roadfill vs. roadcut), aspect, vegetation cover, species, thickness, vertical length, horizontal length, soil type, elevation, erosion, soil-moisture, soil-hardness, pH, and so on. However, the factors of a suitable and significant level are slope degree, type, aspect, thickness, soil-moisture, vertical length and horizontal length in slope revegetation. the results were as follows : As a result of survey on soil types based on the status before construction, the rate of vegetation cover with non-mesh construction in soil areas was better than the rate of vegetation cover with fiber meshes and wire meshes. The rate of vegetation cover with fiber meshes in weathered rocks was better than using wire meshes. The rate of vegetation cover with the wire meshes in blasted rocks was better than using fiber meshes. Also, the factors affecting the rate of vegetation cover presented the number of appearance species, soil-moisture, thickness. this result presented the more appearance species as a positive role, and the lower soil-moisture and the thicker soil as a negative role.

• Journal of Biosystems Engineering
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• 제41권2호
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• pp.126-137
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• 2016

Purpose: The overall objective of this study was to evaluate the vegetation fraction of soybeans, grown under different cropping conditions using an unmanned aerial vehicle (UAV) equipped with a red, green, and blue (RGB) camera. Methods: Test plots were prepared based on different cropping treatments, i.e., soybean single-cropping, with and without herbicide application and soybean and barley-cover cropping, with and without herbicide application. The UAV flights were manually controlled using a remote flight controller on the ground, with 2.4 GHz radio frequency communication. For image pre-processing, the acquired images were pre-treated and georeferenced using a fisheye distortion removal function, and ground control points were collected using Google Maps. Tarpaulin panels of different colors were used to calibrate the multi-temporal images by converting the RGB digital number values into the RGB reflectance spectrum, utilizing a linear regression method. Excess Green (ExG) vegetation indices for each of the test plots were compared with the M-statistic method in order to quantitatively evaluate the greenness of soybean fields under different cropping systems. Results: The reflectance calibration methods used in the study showed high coefficients of determination, ranging from 0.8 to 0.9, indicating the feasibility of a linear regression fitting method for monitoring multi-temporal RGB images of soybean fields. As expected, the ExG vegetation indices changed according to different soybean growth stages, showing clear differences among the test plots with different cropping treatments in the early season of < 60 days after sowing (DAS). With the M-statistic method, the test plots under different treatments could be discriminated in the early seasons of <41 DAS, showing a value of M > 1. Conclusion: Therefore, multi-temporal images obtained with an UAV and a RGB camera could be applied for quantifying overall vegetation fractions and crop growth status, and this information could contribute to determine proper treatments for the vegetation fraction.