• Title/Summary/Keyword: classification of forest types

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A Study on Green Space Management Planning Considering Urban Thermal Environment (도시 열환경을 고려한 녹지관리방안 수립 연구)

  • Joo, Chang-Hun;Kim, Jeong-Ho;Yoon, Yong-Han
    • Journal of Environmental Science International
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    • v.23 no.7
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    • pp.1349-1358
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    • 2014
  • This study suggests plan of green space management based on the result of research apprehending the characteristic through sorting types of city thermal environment targeting summer which thermal pollution is the most serious. Considering anthropogenic heat, development level of wind road, thermal environment, as a result of types of thermal environment process, it is appeared 36 types, and 10 types is relevant of this research subject. Type I-1, size of building is large, artificial covering area is wide, and thermal load of anthropogenic heat is high, type II-1, development condition of wind road is incomplete as IIlevel, entering cold air is difficult and thermal management and improvement is needed area. Type III-1, scale is large and it is area of origin of cold air, development level of wind road is mostly favorable, type III-2 is revealed as smaller scale than III-1, and small area of origin of cold air. Type IV, anthropogenic heat is $81{\sim}150W/m^2$, average, but development function of wind road is very favorable. Type V, large area of thermal load and the origin of cold air are distributed as similar ratio, and level of development function of wind road is revealed as II level. According to standard of type classification of thermal environment, as a result of suggesting plan of green space management and biotops area ratio, type I-1 is buffer green space and waterway creation, goal biotops area ratio 35%, type II-1 afforestation in site and goal biotops area ratio 40%, type III-1, preservation plan to display the current function continuously is requested. Type IV suggests afforestation of stream current, and type V suggests quantitative increase of green space and goal biotops area ratio 45%.

An Analysis of Biotope Structure in Metropolitan city in terms of Nature Experience and Recreation (대도시의 비오톱 구조분석 -자연체험 및 휴양의 관점에서-)

  • 나정화;이석철
    • Journal of the Korean Institute of Landscape Architecture
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    • v.28 no.3
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    • pp.72-87
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    • 2000
  • The purpose of this research was analysis of biotope structure focused on the evaluation for the nature experience and recreation in the case of Suseoung District in Daegu metropolitan area. The results of this study were as follows; 1) The result of biotope type classification was divided into 17 biotope type groups and 90 biotope types belonging to them. 2) In the result of the first evaluation for the nature experience and recreation, biotope types such as MA, NA, OE, PH, QB etc. possess great value. Particulary these biotope types come from forest areas and transition zone. The have not appeared in the inner of cities. 3) The biotope types such as JC, ME, OA, OE, PB, QD, QF etc. are proved to possess high value in the result of the utility evaluation. 4) There emerges 3a biotope type that has the highest value in the result of the second evaluation - such as ME, NB, NC, PD, QB etc. Most of them range widely except in the urbanized areas. Most of them were presented into the large area of site size and in the outer forest areas. But most of them were distributed in the forest areas intensively. So, it is certain that the space of nature experience connected with residential district of the urban people s scarce. Finally, the detailed plan must be made out specially continuously. It is about biotope spaces that are important for the nature experience and the recreation from the result of this research. Also, the study on the detailed index settlement of the sight green plan based on the biotope map must be continued.

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A Pilot Study on Environmental Understanding and Estimation of the Nak-Dong River Basin Using Fuyo-1 OPS Data (Fuyo-1 OPS 자료를 이용한 낙동강 하류지역의 환경계측 시고)

  • Kim, Cheon
    • Korean Journal of Remote Sensing
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    • v.12 no.2
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    • pp.169-198
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    • 1996
  • The objectives of this investigation are : 1. To analyze spectral signature and the associated vegetation index for geometric illumination conditions inf1uenced by low solar elevation and high slope orientations in mountainous forest. 2. To assess the accuracy of the spectral angle mapper classification for the a winter land cover in comparison with the maximum likelihood classification. 3. To produce the image of water quality and water properties that could be used to estimate the water pollution sources and the tide-included by turbid water in estuarine and coastal areas. These objectives are to characterize environmental and ecological monitoring applications of the Nak-Dong River Basin by using Fuyo-1 OPS VNIR data acquired on December 26, 1992. The results of this paper are as follows : 1. The spectral digital numbers and vegetation indexes (NDVI and TVI) of mountainous forest are higher on the slope facing the sun than on the slope hidden the sun under low sun elevation condition. 2. The spectral angle mapper algorithm produces a more accurate land cover classification of areas with steep slope, various aspects and low solar elevation than the maximum likelihood classifier. 3. The maximum likelihood classification images can be used for identifying the location and movement of both freshwater and salt water, regardless of geometric illumination conditions. 4. The color-coded density sliced image of selected water bodies by using the near-infrared band 3 can provide distribution of the water quality of the Lower Nak-Dong River. 5. The color-coded normalized difference vegetation index image of the selected mountain forest is suitable to classify winter vegetation cover types, i.e., forest canopy densities for slope orientations.

Classification of West Coastal Dune Vegetation and Comparison of the Inorganic Constituents for the Soil and Present Plants (서해안 해안사구식생의 유형분류와 사구토양 및 식물 무기성분 비교)

  • Shin, Hak Sub;Kim, Hye Jin;Han, Sang Hak;Ko, Seong Yeon;Kang, Hye Jin;Lee, Seo Hui;Lee, Chun Yong;Kim, Chan Beom;Bae, Young Tae;Shin, Jae Kwon;Yun, Chung Weon
    • Journal of Korean Society of Forest Science
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    • v.102 no.3
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    • pp.345-354
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    • 2013
  • To understand the community structures of the vegetation of the beaches and coastal dunes of Seocheon-gun, Boryeong-si, Anmyeon-do, Taean-gun in Chungcheongnam-do and Buan-gun in Jeollabuk-do at the west coast of South Korea, a plant sociological vegetation survey was carried out to make a classification of correlation vegetation communities, a cluster analysis and an inorganic component analysis on the soil and plant body. Regarding the vegetation of the coastal dunes, plant communities were classified into 31 communities by correlation dominant species, and as a result of a cluster analysis on the vegetation communities, they were classified into five vegetation types such as Calystegia soldanella community, Rosa rugosa community, Imperata cylindrica community, Vitex tend community and Elymus mollis community. The soil pH was highest in Seocheon area ($7.54{\pm}1.18$) while lowest in Buan area ($6.29{\pm}2.15$), and regarding inorganic components, the nitrogen content was highest in Robinia while lowest in Imperata cylindrica. The soil PH of vegetation I was highest (8.23) among the five vegetation types, and the organic matter was lowest (71.58). As a result of CCA ordination analysis to examine the correlation among environmental factors, Calystegia soldanella community, Rosa rugosa community and Imperata cylindrica community among the five vegetation types were distributed while they were not affected by soil environmental elements, but Vitex tend community and Elymus mollis community were distributed mainly at the places with high $K^+$ content in the soil.

Analysis on a Location Compatibility of Forest Fire Detection Facilities according to Classification of Forest Fire Hazard Regions Types in Samcheok Area (삼척지역 산불위험지 구분에 따른 감시시설의 위치 적합성에 관한 연구)

  • Lee, Si-Young;An, Sang-Hyun
    • Fire Science and Engineering
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    • v.22 no.3
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    • pp.265-271
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    • 2008
  • This study analyzed on the area of Samcheok, Kangwondo about forest fire alarming area and enlargement of the area. Then, visible area by unattended watching camera and watchtower for forest fire which were run by Samcheok was cross-checked with geographic information system, and it ould be whether effective on watching the area here the forest fire risk was high enough and also it could be expanded to larger forest fire. The result of study, the visible area by watching facilities only holds for 13.4% of the whole forest fire alarming area, but the forest fire can be observed even though it is occurred in small valley because of smoke and all the forest fire have been occurred in daytime. Therefore, it can be determined that watching area will be extended around 50.3% while the observation radii of watching facilities raise by 4km. However, Samcheok has much greater area of mountain area in compared to any other cities or counties, watching facilities should be installed and run additionally for extinguishing the forest fire from the beginning.

Assessment of Expansion Characteristics and Classification of Distribution Types for Bamboo Forests Using GIS (GIS를 이용한 대나무류 분포 유형 구분 및 확산 특성 평가)

  • YOO, Byung-Oh;PARK, Joon-Hyung;PARK, Yong-Bae;JUNG, Su-Young;LEE, Kwang-Soo;KIM, Choon-Sig
    • Journal of the Korean Association of Geographic Information Studies
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    • v.20 no.4
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    • pp.55-64
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    • 2017
  • In order to assess the spatial and dynamic changes in bamboo forests, this study used the national-level spatial data between 1980 and 2010 to extract spatial information of bamboo forests through GIS technology. The results showed that the distribution types were mainly expansion, normal, mixed, damage, and separation. In case of mixed bamboo forest in the Sacheon region, the expansion characteristics were: area 2.5 ha, velocity 0.08 ha/yr, and distance 1.1 m/yr. The Phyllostachys pubescens forest in the Geojae region showed the following characteristics: area 1.9 ha, velocity 0.06 ha/yr, and distance 0.9 m/yr with where along from valley to ridge. This approach could provide a valuable tool for decision-making and implementations such as the bamboo forest management plan, environmental impact assessment for a preventing the bamboo expansion, and sustainable managing the bamboo resources.

Comparative Evaluation of Machine Learning Models for Predicting Soccer Injury Types

  • Davronbek Malikov;Jaeho Kim;Jung Kyu Park
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.2_1
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    • pp.257-268
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    • 2024
  • Soccer is type of sport that carries a high risk of injury. Injury is not only cause in the unlucky soccer carrier and also team performance as well as financial effects can be worse since soccer is a team-based game. The duration of recovery from a soccer injury typically relies on its type and severity. Therefore, we conduct this research in order to predict the probability of players injury type using machine learning technologies in this paper. Furthermore, we compare different machine learning models to find the best fit model. This paper utilizes various supervised classification machine learning models, including Decision Tree, Random Forest, K-Nearest Neighbors (KNN), and Naive Bayes. Moreover, based on our finding the KNN and Decision models achieved the highest accuracy rates at 70%, surpassing other models. The Random Forest model followed closely with an accuracy score of 62%. Among the evaluated models, the Naive Bayes model demonstrated the lowest accuracy at 56%. We gathered information about 54 professional soccer players who are playing in the top five European leagues based on their career history. We gathered information about 54 professional soccer players who are playing in the top five European leagues based on their career history.

Spatio-temporal change detection of land-use and urbanization in rural areas using GIS and RS - Case studies of Yongin and Anseong regions - (GIS와 RS를 이용한 농촌지역 토지이용 및 도시화 변화현상의 시공간 탐색 - 용인 및 안성지역을 중심으로 -)

  • Gao, Yujie;Kim, Dae-Sik
    • Korean Journal of Agricultural Science
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    • v.38 no.1
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    • pp.153-162
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    • 2011
  • This study analyzed the spatio-temporal change detection of land-use and urbanization in Yongin and Anseong regions, Kyunggi Province, using three Landsat-5 TM images for 1990, 1996, and 2000. Remote sensing (RS) and geographic information system (GIS) techniques were used for image classification and result analysis. Six land-use types were classified using supervised maximum likelihood classification. In the two study areas, the land-use changed significantly, especially the decrease of arable land and forest and increase of built-up area. Spatially, the urban expansion of Yongin region showed a spreading trend mainly along the national road and expressways. But in Anseong region the expansion showed 'urban sprawl phenomenon' with irregular shape like starfish. Temporally, the urban expansion showed disparity - the growth rates of urbanized area rose from the period 1990-1996 to 1996-2000 in both study areas. The increased built-up areas were converted mainly from paddy, dry vegetation, and forest.

Forest Vegetation Structure around Marugeum (Ridge Line) Area in Deogyusan Region, Baekdudaegan (백두대간 덕유산권역 마루금 주변의 산림식생구조)

  • Kim, Hojin;Song, Juhyeon;Lee, Jeongeun;Cho, Hyunje;Park, Wangeun;Kim, Sujin;Yun, Chung Weon
    • Journal of Korean Society of Forest Science
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    • v.111 no.1
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    • pp.81-99
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    • 2022
  • The Baekdudaegan, spanning around 701 km from Hyangrobong to Cheonwangbong of Mt. Jirisan in South Korea, is rich in biodiversity and known as the main ecological axis of the Korean Peninsula. The Neuljae-Yuksimnyeong section of Marugeum in the southern part of the Baekdudaegan, particularly Mt. Deogyusan, is an area in which various types of vegetation appear depending on the environmental characteristics. The aims of this study were to investigate the current vegetation status at the Neuljae-Yuksimnyeong section of the Baekdudaegan and to provide basic data to aid systematic conservation and management through future classification of forest vegetation types. A vegetation survey was conducted using 637 plots from May to October 2019. Vegetation-type analysis showed that the vegetation units could be classified as a Quercus mongolica community group divided into seven communities: the Abies koreana community, Sanguisorba hakusanensis community, Persicaria hydropiper community, Quercus variabilis community, Quercus dentata community, Cornus controversa community, and Quercus mongolica community. The A. koreana community was subdivided into the Dryopteris expansa group and Picea jezoensis group. The Q. variabilis community was also subdivided into the Q. dentata group and Q. variabilis typical group. We concluded that special management plans for distinctive forest vegetation, including subalpine vegetation, grass or herb vegetation, and agricultural vegetation, should be prepared urgently to aid ecosystem preservation and enhancement.

Detection of Forest Areas using Airborne LIDAR Data (항공 라이다데이터를 이용한 산림영역 탐지)

  • Hwang, Se-Ran;Kim, Seong-Joon;Lee, Im-Pyeong
    • Spatial Information Research
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    • v.18 no.3
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    • pp.23-32
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    • 2010
  • LIDAR data are useful for forest applications such as bare-earth DEM generation for forest areas, and estimation of tree height and forest biomass. As a core preprocessing procedure for most forest applications, this study attempts to develop an efficient method to detect forest areas from LIDAR data. First, we suggest three perceptual cues based on multiple return characteristics, height deviation and spatial distribution, being expected as reliable perceptual cues for forest area detection from LIDAR data. We then classify the potential forest areas based on the individual cue and refine them with a bi-morphological process to eliminate falsely detected areas and smoothing the boundaries. The final refined forest areas have been compared with the reference data manually generated with an aerial image. All the methods based on three types of cues show the accuracy of more than 90%. Particularly, the method based on multiple returns is slightly better than other two cues in terms of the simplicity and accuracy. Also, it is shown that the combination of the individual results from each cue can enhance the classification accuracy.