• Title/Summary/Keyword: Research Forest

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On Study of Runoff Analysis Using Satellite Information (위성자료를 이용한 유출해석에 관한 연구)

  • Kang, Dong Ho;Jeung, Se Jin;Kim, Byung Sik
    • Journal of Korean Society of Disaster and Security
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    • v.14 no.2
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    • pp.13-23
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    • 2021
  • This study intended to assess the reliability of topographic data using satellite imaging data. The topographical data using actual instrumentation data and satellite image data were established and applied to the rainfall-leak model, S-RAT, and the topographical data and outflow data were compared and analyzed. The actual measurement data were collected from the Water Resources Management Information System (WAMIS), and satellite image data were collected from MODIS observation sensors mounted on Terra satellites. The areas subject to analysis were selected for two rivers with more than 80% mountainous areas in the Han River basin and one river basin with more than 7% urban areas. According to the analysis, the difference between instrumentation data and satellite image data was up to 50% for peak floods and up to 17% for flood totals in rivers with high mountains, but up to 13% for peak floods and up to 4% for flood totals. The biggest difference in the video data is Landuse, which shows that MODIS satellite images tend to be recognized as cities up to 60% or more in urban streams compared to WAMIS instrumentation data, but MODIS satellite images are found to be less than 5% error in forest areas.

Analysis of Soil Fungal Community Related to Rhododendron mucronulatum in Biseul Mountain County Park, South Korea (우리나라 비슬산군립공원 진달래나무(Rhododendron mucronulatum)와 관련된 토양 진균 군집의 pyrosequencing 분석)

  • Jeong, Min-Ji;Kim, Dong-Hyun;Choi, Doo-Ho;Lee, In-Seon;Kim, Jong-Guk
    • Journal of Life Science
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    • v.31 no.4
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    • pp.377-384
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    • 2021
  • Researching the soil fungal community is important to understand the interaction between fungi and living plants. However, too few studies have examined the soil fungal community and their interactions with plants. Rhododendron mucronulatum, commonly known as Korean rosebay, is an important forest resource that has aesthetic, ecological, and potential pharmacological values. We used a pyrosequencing method to analyze the characteristics of fungal communities from R. mucronulatum soil samples from Biseul mountain county park, which is one of the famous places for large R. mucronulatum colonies in South Korea. We collected soil core samples in February and August at three sites in the Biseul Mountain County Park, taking into consideration the regional and seasonal conditions. We obtained 454,157 validated reads after pyrosequencing all six samples. The fungal communities from the first observation spot in August had the richest species diversity among the samples. Basidiomycota, Ascomycota, and Mortierellomycota were major phyla in the samples. Agaricales_f, Mortierellaceae, and Clavariaceae were major families in the samples. The genus Mortierella was the most dominant in all six samples. Overall, 19 genera could be associated with R. mucronulatum. Sample 1 had 109 genera in sample 1, sample 2 had 111 genera, and sample 3 had 112 genera that were uniquely identified. The samples collected in August had 28 identified genera, that existed only in summer samples, indicating a weather effect. This study can be used as basic research to understand the relationship between soil fungi and plants.

The Characteristics of Cinnamomum japonicum Community in Japan's Special Natural Monument Area (일본 특별천연기념물 녹나무군락의 특성 분석)

  • Shim, Hang-Yong;Park, Seok-Gon;Choi, Song-Hyun;Lee, Sang-Cheol;Yu, Chan-Yeol;Sung, Chan-Yong
    • Korean Journal of Environment and Ecology
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    • v.33 no.1
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    • pp.52-63
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    • 2019
  • This study analyzed the characteristics of vegetation structure of the camphor tree (Cinnamomum japonicum) community in the area of mount Tachibana, Kasuya county, Fukuoka Prefecture designated as a special natural monument in Japan. The survey showed overwhelming dominance of canopy tree in the canopy layer (about 30 m in tree heights and 92.79 cm in average breast height diameter) but no appearance in the understory layer or the shrub layer. In the understory layer and the shrub layer, Castanopsis sieboldii, Machilus thunbergii, Neolitsea sericea, and Cinnamomum yabunikkei, which were the competing species to the canopy layer and the late-successional species in the warm temperate climate zone, were mainly distributed. Moreover, the species diversity was generally low, indicating the vegetation characteristics that was not typical of evergreen broad-leaved forests. This is presumably because camphor trees were actively planted, protected, and cultivated to produce camphor which was valuable in the past. Although this site has not been artificially managed for the past 90 years as the raw materials of camphor have not been collected, vegetation transition did not proceed, which is unique. It is probably due to the fact that camphor was overwhelmingly dominant in the canopy layer so that the inflows of species were restricted, and young tree germination did not occur due to the allelopathy effects of camphor trees.

Automatic selection method of ROI(region of interest) using land cover spatial data (토지피복 공간정보를 활용한 자동 훈련지역 선택 기법)

  • Cho, Ki-Hwan;Jeong, Jong-Chul
    • Journal of Cadastre & Land InformatiX
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    • v.48 no.2
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    • pp.171-183
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    • 2018
  • Despite the rapid expansion of satellite images supply, the application of imagery is often restricted due to unautomated image processing. This paper presents the automated process for the selection of training areas which are essential to conducting supervised image classification. The training areas were selected based on the prior and cover information. After the selection, the training data were used to classify land cover in an urban area with the latest image and the classification accuracy was valuated. The automatic selection of training area was processed with following steps, 1) to redraw inner areas of prior land cover polygon with negative buffer (-15m) 2) to select the polygons with proper size of area ($2,000{\sim}200,000m^2$) 3) to calculate the mean and standard deviation of reflectance and NDVI of the polygons 4) to select the polygons having characteristic mean value of each land cover type with minimum standard deviation. The supervised image classification was conducted using the automatically selected training data with Sentinel-2 images in 2017. The accuracy of land cover classification was 86.9% ($\hat{K}=0.81$). The result shows that the process of automatic selection is effective in image processing and able to contribute to solving the bottleneck in the application of imagery.

Improvement of Ortho Image Quality by Unmanned Aerial Vehicle (UAV에 의한 정사영상의 품질 개선 방안)

  • Um, Dae-Yong;Park, Joon-Kyu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.11
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    • pp.568-573
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    • 2018
  • UAV(Unmanned Aerial Vehicle) is widely used in space information construction, agriculture, fisheries, weather observation, communication, and entertainment fields because they are cheaper and easier to operate than manned aircraft. In particular, UAV have attracted much attention due to the speed and cost of data acquisition in the field of spatial information construction. However, ortho image images produced using UAVs are distorted in buildings and forests. It is necessary to solve these problems in order to utilize the geospatial information field. In this study, fixed wing, rotary wing, vertical take off and landing type UAV were used to detect distortions of ortho image of UAV under various conditions, and various object areas such as construction site, urban area, and forest area were captured and analysed. Through the research, it was found that the redundancy of the unmanned aerial vehicle image is the biggest factor of the distortion phenomenon, and the higher the flight altitude, the less the distortion phenomenon. We also proposed a method to reduce distortion of orthoimage by lowering the resolution of original image using DTM (Digital Terrain Model) to improve distortion. Future high-quality unmanned aerial vehicles without distortions will contribute greatly to the application of UAV in the field of precision surveying.

Landslide Susceptibility Prediction using Evidential Belief Function, Weight of Evidence and Artificial Neural Network Models (Evidential Belief Function, Weight of Evidence 및 Artificial Neural Network 모델을 이용한 산사태 공간 취약성 예측 연구)

  • Lee, Saro;Oh, Hyun-Joo
    • Korean Journal of Remote Sensing
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    • v.35 no.2
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    • pp.299-316
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    • 2019
  • The purpose of this study was to analyze landslide susceptibility in the Pyeongchang area using Weight of Evidence (WOE) and Evidential Belief Function (EBF) as probability models and Artificial Neural Networks (ANN) as a machine learning model in a geographic information system (GIS). This study examined the widespread shallow landslides triggered by heavy rainfall during Typhoon Ewiniar in 2006, which caused serious property damage and significant loss of life. For the landslide susceptibility mapping, 3,955 landslide occurrences were detected using aerial photographs, and environmental spatial data such as terrain, geology, soil, forest, and land use were collected and constructed in a spatial database. Seventeen factors that could affect landsliding were extracted from the spatial database. All landslides were randomly separated into two datasets, a training set (50%) and validation set (50%), to establish and validate the EBF, WOE, and ANN models. According to the validation results of the area under the curve (AUC) method, the accuracy was 74.73%, 75.03%, and 70.87% for WOE, EBF, and ANN, respectively. The EBF model had the highest accuracy. However, all models had predictive accuracy exceeding 70%, the level that is effective for landslide susceptibility mapping. These models can be applied to predict landslide susceptibility in an area where landslides have not occurred previously based on the relationships between landslide and environmental factors. This susceptibility map can help reduce landslide risk, provide guidance for policy and land use development, and save time and expense for landslide hazard prevention. In the future, more generalized models should be developed by applying landslide susceptibility mapping in various areas.

Control of Ginseng Damping-Off Disease Using Chitinolytic Bacterial Mixtures (키틴분해미생물을 이용한 인삼 잘록병 방제)

  • Kim, Young Cheol;Chung, Hyun Chae;Bae, Yeoung Seuk;Park, Seur Kee
    • Research in Plant Disease
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    • v.24 no.4
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    • pp.353-358
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    • 2018
  • An effective bioformulation of mixtures of chitin-degrading bacteria has been used successfully to control plant diseases and nematodes. In this study, the bioformulation approach was assessed to control damping-off disease of ginseng. In pot experiments with soils infested with dapming-off pathogens of ginseng, root-drenchings of Chrobacterium sp. C-61, Lysobacterium enzymogenes C-3, and mixture of two bacterial strains grown in chitin minimal medium were signficantly increased emergence of seeds and reduced damping-off disease incidence of seedlings. Efficacy of the bioformulated product depended on the dose and timing of application. In two-year-old ginseng field, the high control efficacies were achieved by soil drenching of two times with an undiluted product or three times with a 10-fold diluted product. In a To-jik nursery (self soil nursery), biocontrol efficacy of the undiluted product against damping-off disease were similar to that of a seed dressing with fungicide, Tolclofos-methyl WP. These results suggest that the bioformulated product containing Chromobacterium sp. C-61 and L. enzymogenes C-3 could be an effective approach to control of ginseng damping-off disease.

A study of thematic map for military terrain analysis cartography (군 지형분석지도 제작을 위한 국내 주제도 활용방안연구)

  • Lee, Eun-seok;Park, Jong-kook;Kim, Jong-hee;Kim, Jeong-su;Kim, Jong-bae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.384-386
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    • 2014
  • As the type of property data of military terrain analysis map is using FACC of DIGEST, there is a limitation in utilizing a domestic thematic map which is in use of other type of property data. However, even though the attempts to utilize the domestic thematic map are made at military sites, the study has not been conducted enough. Therefore, we defined it by matching the property data necessary for the military terrain analysis cartography and property of the domestic thematic map, and analyzed in accordance with the method to analyze the cross-country movement roads specified in FM 5-33. But, there was no data for the diameter of trees in the vegetation map among a terrain analysis map, whereas there being data for the sort of trees. As the diameter of trees can be broken through to the extent of certain diameters by tracked vehicles, they are the factors necessary in analyzing. In this study, the research was conducted focusing on calculating the diameters for some trees described in a stand yield table by using the age-class for trees in a forest floor map with a scale of 1:5000 and calculating the diameters of trees by using the diameter-class for the diameters of other trees.

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Analysis and Utilization Strategies of Ventilation Corridor Characteristics in Jeon-ju Area (전주지역의 바람길 특성 분석 및 활용 방안)

  • Eum, Jeong-Hee
    • Korean Journal of Environment and Ecology
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    • v.33 no.3
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    • pp.366-374
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    • 2019
  • This study aims to analyze the characteristics of ventilation corridor and propose its utilization strategies in Jeonju city in order to discuss how to utilize urban ventilation corridors as a planning factor for reducing heat wave impact and fine particle pollution. For these purposes, cold air characteristics such as cold air flow and height of cold air in Jeonju area located in the Honam Jeongmaek were analyzed and major ventilation corridors were specified. Based on them, we proposed mountain management strategies for securing and utilizing ventilation corridors. We used KALM (Kaltluftabflussmodell), a cold air simulation model developed in Germany and identified both the cold air flow and the height of cold air layer generated during 6 hours at night. As a result, the cold air flow generated in the forests located in the northeast and east sides of the Jeonju city became clear and the height of cold air layer increased in the valley terrain and farmland areas with time. In particular, Jeonju City has an ideal structure of urban ventilation corridor. Based on the results, the area where the cold air generation is active was designated as the 'cold air conservation area', and the area requiring the management for the good cold air flow was as the 'cold air management area'. This study is expected to be used as basic data of policy making and research for reducing heat wave impact and fine particle pollution such as climate change adaptation policy and urban forest plans for ventilation corridor composition.

Vegetation of Jangdo wetland conserved area in South Korea and its management strategy (장도습지보호지역의 식생 특성과 관리방안)

  • Lee, Seung-Yeon;Hong, Yong-Sik;Jung, Heon-Mo;Lee, Eung-Pill;Kim, Eui-Joo;Park, Jae-Hoon;Jung, Young-Ho;Cho, Kyu-Tae;You, Young-Han
    • Korean Journal of Environmental Biology
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    • v.37 no.1
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    • pp.109-118
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    • 2019
  • This study was carried out to investigate the vegetation of wetland and terrestrial lands in Jangdo wetland conserved area in Korea and to analyze the characteristics of the vegetation changes in the recent years. From the plant community, there were evergreen broad-leaved forests of the Machilus thunbergii, Castanopsis cuspidata, and Machilus thunbergii-Castanopsis cuspidata communities. Moreover, there were deciduous broad-leaved forests of the Salix koreensis, Mallotus japonicus, Mallotus japonicus-Pueraria thunbergiana and Celtis sinensis communities. Additionally, there were shrub forests of the Rosa multiflora-Rubus hirsutus, grassland of Molinia japonica-Miscanthus sacchariflorus and Miscanthus sacchariflorus-Imperata cylindrica communities, and plantation forest of the Pseudosasa japonica community. The area of the wetland vegetation (15%) was much narrower than that of the terrestrial land vegetation (85%). Comparing these results with those of the past 10 years, the wetland plant communities decreased by one-third and the proportion of neutral or dry plant communities increased. In order to mitigate landization succession of the wetland and maintain native wetland vegetation in this area, the expansion of the Salix koreensis community must be controlled to a suitable scale. In addition, it is urgently required to remove the invasive non-wetland plants, such as Pseudosasa japonica and Pueraria thunbergiana.