• 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.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.303-303
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• 2021

소양호 유역의 만대가아자운지구는 2015년 비점오염원 관리지역으로 재지정 되면서 흙탕물 저감을 위해 중앙정부 차원에서 발생원 관리대책, 유출경로 관리정책 및 양한 비점오염 저감시설 등의 노력을 기울이고 있다. 하지만 상류 유역에서는 지속적으로 흙탕물이 발생되고 있으며, 뚜렷한 비점오염 저감효과가 나타나지 않고 있다. 본 연구에서는 정밀조사를 통해 흙탕물 발생 우심 소유역을 분석하고자 하였다. 정밀조사를 위해 관리지역별 하천 및 구거를 분석하였으며, 이를 통해 만대·가아·자운지구별 각 57지점, 31지점, 72지점에서 강우시 수질 모니터링을 수행하였다. 만대지구의 탁도는 167 NTU~7,970 NTU, SS농도는 164.3 mg/L~5,718.0 mg/L 로 관리지역 중 탁도 및 SS 농도가 높았으며, 시행계획상 구분된 소유역별 평균 탁도와 평균 SS농도는 만대천 상류구간이 가장 낮고, 상명천 소유역과 청룡안골, 방추골천, 방추골일천이 흐르는 소유역에서 높게 나타났다. 가아지구의 탁도는 17 NTU~962 NTU, SS농도는 17.8 mg/L~1,020.0 mg/L 로 조사되었으며, 평균 탁도와 평균 SS농도는 가아지구 말단 소유역에서 가장 낮고, 상류 소유역에서 높게 나타났다. 가아천 상류는 탁도 410 NTU와 SS농도 575.0 mg/L, 하류는 탁도 167 NTU, SS농도 197.3 mg/L로 나타나 상류에서 하류로 갈수록 탁도와 SS농도가 낮아졌으며, 상류 유역은 비점저감시설이 밀집해 있음에도 불구하고 다량의 흙탕물이 발생하는 것으로 나타났다. 그러나, 자운지구는 비점오염저감시설이 집중적으로 설치된 상류 유역에 비해 하류 소유역에서 탁도와 SS농도가 높은 것으로 조사되었다. 자운지구의 탁도는 7 NTU~761 NTU, SS농도는 10.8 mg/L~1,199.0 mg/L로 조사되었으며, 평균 탁도와 평균 SS농도는 자운지구의 하류 소한천 소유역이 가장 낮고, 조항천 말단 소유역에서 높게 나타났다. 정밀조사 결과 탁도 및 SS농도가 높게 나타나는 소유역은 공통적으로 고랭지밭의 비율이 높게 나타났기 때문에 고랭지밭에서 발생되는 흙탕물을 효과적으로 관리하기 위해서는 최근 환경부에서 시범 추진하고 있는 농경지 완화조성, 토지 매수사업, 식생완충대 조성 등의 발생원 관리대책 확대 추진이 필요할 것으로 판단된다. 또한 소양호 유역의 비점오염원관리지역은 2020년 비점오염원 관리대책 시행계획이 수립되어 향후 2026년 비점오염 저감 대책이 추진됨에 따라 지속적이고 정밀한 모니터링이 필요할 것으로 판단된다.

• Journal of the Korean Association of Geographic Information Studies
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• v.6 no.4
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• pp.85-98
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• 2003

There has recently been an increasing interest of the watershed management as a solution to a wide range of problems related water environment, therefore this study attempted to construct the environment information system to monitor the Geumho River watershed, and to evaluate the impacts of the watershed characteristics on stream water quality. A detailed GIS database to analyze the environmental characteristics at the subwatershed units, including 1:25,000 scale topographical maps, detailed soil maps, land use, 10m-resolution DEMs, roads, streams, vegetation index(NDVI) calculated from Landsat TM imagery, rainfall, and soil loss using RUSLE, is compiled for the study area. The set of variables representing watershed urbanization or industrialization, residential and commercial landuse, industrial landuse, and road area have significantly negative(-) relationship with water quality variables(BOD, COD, SS, T-N, T-P). On the other hand, watershed indicators related to natural environmental conditions, forest cover and vegetation index(NDVI) in each subwatershed were significantly positive(+) relationship with water quality. Three other variables, agricultural landuse, amount of fertilizer and pesticides, and potential soil loss, were not significant in explaining the correlations between watershed environment and stream water quality.

• Journal of Conservation Science
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• v.19
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• pp.85-98
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• 2006

Rock property of the Seosan Maaesamjonbulsang is composed of biotite granite with medium grained texture. The triad Buddha is highly deteriorated by the joint, fracture, break-out, exfoliation, dew condensation of the surface and discoloration of the secondary pollutant. Host rock of the triad Buddha is divided dozens of rock blocks with various shape, and developed irregular discontinuity planes. Besides, the host rock is promoted biological pollution due to the surrounding crowded vegetation and high humidity environment. As the results of structural stability, it is confirmed that developed discontinuity system in the host rock is exposed instability sloping environment. Therefore, the host rock and surroundings are required maintenance, and required preservation by continuance monitoring for understand behavior of discontinuity system.

• Journal of Conservation Science
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• v.31 no.4
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• pp.395-402
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• 2015

This study was considered utilization of hyperspectral image analysis for monitoring. Accordingly we applied to stone cultural properties to data correction methods, image classification techniques, NDVI computation techniques using hyperspectral image. As the results, hyperspectral image analysis was possible making detailed deterioration map, accurate calculation of deterioration rate, mapping of normalized difference vegetation index on the basis of reflectance of each materials. Therefore, hyperspectral image analysis will be used for effective monitoring techniques of stone cultural heritages.

• Korean Journal of Environment and Ecology
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• v.18 no.2
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• pp.221-230
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• 2004

Flora of the Dokdo Islet, where located south-east from Ulnung Island, off the east coast of the Korean peninsula, recorded as 59 taxa; 29 families, 50 genus, 48 species, 1 sub-species, 9 varieties and 1 form. Dong-do (East islet) of Dokdo Islet, naturalized plants such as Brassica campestris subsp. napus var. nipp-oleitera and Rumex crispus are widely ranged over the islet. The naturalizedplants affects the native species and their habitats of Artemisia japonica var. macrocephala, Echinochloa crus-galli, Sedum oryzifolium, Arabis stelleri var. japonica and Sedum kamtschaticum var takesimense in the islet. The trail in Seo-do (West islet) is heavily threatened by over-all weathering processes on the rock. The native woody species in the islet are Euonymous japonicus and Lonicera insularis, and the species such as Pinus thunbergii and Hibiscus syriacus are planted in the recent past under the IRP (Islet Restoration Program) by NGO. The Specific Plants, which is designated and categorized by the Ministry of Environment, Korea, such as Lilium lancifolium, Lysimachia mauritiana and Reynoutria sachalinensis are ranged. The ecosystem of Dokdo islet is seriously threatened by invadedplant species and building works for garrison and relevant facilities. The over-all long- and short-term strategies, based on interdisciplinary and integrated approaches for habitat restoration is needed.

• Korean Journal of Environment and Ecology
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• v.34 no.3
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• pp.235-248
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• 2020

The purpose of this study was to quantitatively analyze and investigate changes in the structural characteristics of the warm-temperate evergreen broad-leaved forest community in Mt. Cheomchalsan on Jindo Island. The Mt. Cheomchalsan has high conservation value because the representative warm temperate species such as Quercus acuta and Castanopsis sieboldii are distributed there. The community classification with TWINSPAN and DCA identified 4 communities: C. sieboldii community (I), C. sieboldii-Q. Salicina community (II), Q. acuta-C.sieboldii community (III), and deciduous broad-leaved trees-evergreen broad-leaved trees community (IV). According to the results of the mean importance percentage (MIP) analysis, C. sieboldii, Q. salicina, and Q. acuta were dominant species in the canopy layer, Camellia japonica, Ligustrum japonicum, and Cinnamomum yabunikkei were dominant in the understory layer, and Trachelospermum asiaticum, C. japonica, and C. sieboldii were dominant in the shrub layer. The comparison of the results of the diameter of breast height (DBH) analysis with the past data showed that the ratio of large-sized trees in the C. sieboldii and Q. acuta, which dominated the canopy layer, increased. However, there was no difference in the distribution of C. japonica and L. japonicum in the understory layer. In the future, it is necessary to generate a precision inhabiting vegetation map around the Natural Reserve to understand the actual habitation of evergreen broad-leaved trees and rezone the protective districts of evergreen broad-leaved trees forest with the watershed concept to preserve the evergreen broad-leaved forests of Mt. Cheomchalsan in Jindo.

• Korean Journal of Remote Sensing
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• v.34 no.5
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• pp.709-720
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• 2018

In order to optimize the evaluation of biomass in crop monitoring, accurate and timely data of the crop-field are required. Evaluating above-ground biomass helps to monitor crop vitality and to predict yield. Unmanned Aerial Vehicle (UAV) imagery are being assessed for analyzing within field spatial variability for agricultural precision management, because UAV imagery may be acquired quickly during critical periods of rapid crop growth. This study reports on the development of remote sensing techniques for evaluating the biomass of winter crop. Specific objective was to develop statistical models for estimating the dry weight of barley and wheat using a Excess Green index ($E{\times}G$) based Vegetation Fraction (VF) and a Crop Surface Model (CSM) based Plant Height (PH) value. As a result, the multiple linear regression equations consisting of three independent variables (VF, PH, and $VF{\times}PH$) and above-ground dry weight provided good fits with coefficients of determination ($R^2$) ranging from 0.86 to 0.99 with 5 cultivars. In the case of the barley, the coefficient of determination was 0.91 and the root mean squared error of measurement was $102.09g/m^2$. And for the wheat, the coefficient of determination was 0.90 and the root mean squared error of measurement was $110.87g/m^2$. Therefore, it will be possible to evaluate the biomass of winter crop through the UAV image for the crop growth monitoring.

• Korean Journal of Remote Sensing
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• v.38 no.5_1
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• pp.535-543
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• 2022

A drone is used to diagnose crop growth and to provide information through images in the agriculture field. In the case of using high spatial resolution drone images, growth information for each object can be produced. However, accurate object detection is required and adjacent objects should be efficiently classified. The purpose of this study is to develop a Chinese cabbage object detection algorithm using multispectral reflectance images observed from drone and computer vision techniques. Drone images were captured between 7 and 15 days after planting a Chinese cabbage from 2018 to 2020 years. The thresholds of object detection algorithm were set based on 2019 year, and the algorithm was evaluated based on images in 2018 and 2019 years. The vegetation area was classified using the characteristics of spectral reflectance. Then, morphology techniques such as dilatation, erosion, and image segmentation by considering the size of the object were applied to improve the object detection accuracy in the vegetation area. The precision of the developed object detection algorithm was over 95.19%, and the recall and accuracy were over 95.4% and 93.68%, respectively. The F1-Score of the algorithm was over 0.967 for 2 years. The location information about the center of the Chinese cabbage object extracted using the developed algorithm will be used as data to provide decision-making information during the growing season of crops.

• Korean Journal of Environment and Ecology
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• v.34 no.3
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• pp.259-270
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• 2020

Plants Social Network (PSN) was first used in recent studies to incorporate the plant sociology methods for the understanding of plant society with the social network analysis methods that have recently attracted attention in the social science and visualize and analyze a PSN. The process of construction and analysis on PSN proceeds in the order of setting up the survey area, investigating the appearance plants species on plots of 100㎡, analyzing the interspecific association, building the sociogram, and analyzing the network structure and centrality. This study established a PSN by investigating the appearance species after installing 708 plots to include various dominant vegetational physiognomies in Busan Metropolitan City, where coastal and inland vegetation could be observed simultaneously. The survey found a total of 195 species, including 42 species of evergreen, 151 species of deciduous trees, and 2 species of semi-evergreen trees. The interspecies binding analysis was performed with the focus on the total number of species. It showed the number of friendly species in the order of Eurya japonica (47 species), Trachelospermum asiaticum (46 species), Linder glauca (44 species), Sorbus alnifolia (44 species), and Ligustrum japonicum (41 species). Based on it, we generated a sociogram using Gephi 0.9.2 program. The sociogram was divided into groups that appeared mostly on the coast and those that did not, reflecting the geographical distribution characteristics of forest vegetation in Busan. The analysis of the network structured showed 1,709 links and an average of 17.5 species having interspecies binding with a species. The density was 0.09, the diameter was 5, and the average path distance was 2.268. We concluded that various PSNs should be established in the future for precise comparative analysis of network characteristics in the social science field. In the PSN of Busan Metropolitan City, Eurya japonica, Linder glauca, Ligustrum japonicum, and Trachelospermum asiaticum showed high centrality.