• Title/Summary/Keyword: Classification of Green Space

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A Conceptional Study on Establishment of Indicators for Analysis and Evaluation in the Environment of Urban Green Spaces (도시녹지환경의 분석.평가지표설정에 관한 개념적 연구)

    • Journal of the Korean Institute of Landscape Architecture
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    • v.26 no.1
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    • pp.59-69
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    • 1998
  • This research was conducted to suggest some directions for desirable urban green space planning through 1) establishing a new classification system by examining the existing concept, problems and characteristics of green space and 2) defining the essence of green space environment and finding some analytical and evaluative methods through a clear establishment of functions, indicators of green space. An analytical technique of green space, in which the coexistent relationship of human and other organisms was emphasized, was tried in order to realize urban green space planning. Based on the relevancy between green space and human being, green space was classified into green space for existence green space for utility, green space for both of existence and utility. The ratio of green covered, the ratio of greenery within the frame of vision, and the ratio of green volume in green space for existence was used as analytic and evaluative indicators.

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An Analysis of Environmental Policy Effect on Green Space Change using Logistic Regression Model : The Case of Ulsan Metropolitan City (로지스틱 회귀모형을 이용한 환경정책 효과 분석: 울산광역시 녹지변화 분석을 중심으로)

  • Lee, Sung-Joo;Ryu, Ji-Eun;Jeon, Seong-Woo
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.23 no.4
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    • pp.13-30
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    • 2020
  • This study aims to analyze the qualitative and quantitative effects of environmental policies in terms of green space management using logistic regression model(LRM). Landsat satellite imageries in 1985, 1992, 2000, 2008, and 2015 are classified using a hybrid-classification method. Based on these classified maps, logistic regression model having a deforestation tendency of the past is built. Binary green space change map is used for the dependent variable and four explanatory variables are used: distance from green space, distance from settlements, elevation, and slope. The green space map of 2008 and 2015 is predicted using the constructed model. The conservation effect of Ulsan's environmental policies is quantified through the numerical comparison of green area between the predicted and real data. Time-series analysis of green space showed that restoration and destruction of green space are highly related to human activities rather than natural land transition. The effect of green space management policy was spatially-explicit and brought a significant increase in green space. Furthermore, as a result of quantitative analysis, Ulsan's environmental policy had effects of conserving and restoring 111.75㎢ and 175.45㎢ respectively for the periods of eight and fifteen years. Among four variables, slope was the most determinant factor that accounts for the destruction of green space in the city. This study presents logistic regression model as a way of evaluating the effect of environmental policies that have been practiced in the city. It has its significance in that it allows us a comprehensive understanding of the effect by considering every direct and indirect effect from other domains, such as air and water, on green space. We conclude discussing practicability of implementing environmental policy in terms of green space management with the focus on a non-statutory plan.

A study on analysis of the structure of green space by the types of urban residential areas (도시내 주거지 유형별 녹지구조분석에 관한 연구)

  • 송태갑;김은일
    • Journal of the Korean Institute of Landscape Architecture
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    • v.25 no.3
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    • pp.56-65
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    • 1997
  • This research was conducted to suggest some directions for desirable urban green space planning through 1) establishing a new classification system by examining the existing concept, problems and characteristics of green space and 2) defining the essence of green space environment and finding some analytical and evaluative methods through a clear establishment of functions, indicators of green space. In the research, measurements of the amount of green space was accompanied with measurements of green covered space, green volume, and the structure of greenery within the frame of vision. As result, three-dimensional measurement was possible, three-dimensional measurement was possible, which turned out to be more effective than the existing 2-dimensional measuring method. It is found that the ratio of green covered space is to proportional to the ratio of green volume in this study. Therefore in green space planning process it is desirable to consider the ratio of green volume all together.

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Protection of Suburb Green Space: Contradiction of Protection and Use

  • Liu Bin-Yi;Xing Yang
    • Journal of the Korean Institute of Landscape Architecture International Edition
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    • no.2
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    • pp.153-159
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    • 2004
  • This paper preliminary discussed the important function and faced problems of suburb green space during the process of urban development. As well as it points out the contradiction of protection and making use of. In this paper it takes the green space system planning in Wuxi as an example. Through introducing the classification, distribution, arrangement principles, overall arrangement tactics and concrete protective measures of suburb green space in Wuxi, the paper also puts forward the correct disposal principles for the relationship between protection and making use of toward the suburb green space to realize 'both-win' of them.

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Measurements of Green Space Ratio in Google Earth using Convolutional Neural Network (합성곱 신경망을 이용한 구글 어스에서의 녹지 비율 측정)

  • Youn, Yeo-Su;Kim, Kwang-Baek;Park, Hyun-Jun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.3
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    • pp.349-354
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    • 2020
  • The preliminary investigation to expand the green space requires a lot of cost and time. In this paper, we solve the problem by measuring the ratio of green space in a specific region through a convolutional neural network based the green space classification using Google Earth images. First, the proposed method collects various region images in Google Earth and learns them by using the convolutional neural network. The proposed method divides the image recursively to measure the green space ratio of the specific region, and it determines whether the divided image is green space using a trained convolutional neural network model, and then the green space ratio is calculated using the regions determined as the green space. Experimental results show that the proposed method shows high performance in measuring green space ratios in various regions.

The Evaluation and the Classification of Zones for Setting Additional Green Spaces (녹지 잠재 영향권역 설정을 통한 녹지단절구역 분류 및 우선순위 선정)

  • Sagong Jung-Hee;Ra Jung-Hwa
    • Journal of the Korean Institute of Landscape Architecture
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    • v.33 no.2 s.109
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    • pp.1-15
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    • 2005
  • The purpose of this paper is to classify zones disrupting green spaces in city and to evaluate of their grades. The results are as follows; L There were 158 green spaces in Dalsu-gu. The 158 green spaces were classified 4 patterns and minutely classified into 9 types. The area of the 'nature park' type was turned out to be $70.1\%$ of the total area of green spaces in Dalsu-gu, then the type was considered as a important part of the green-network in Dalsu-gu. The 9 types such as 'nature park', 'river', 'neighborhood park' and so on were analysed with ecological indexes. 2. Based on the ecological indexes of 'ratio of the green space', 'features of the surrounding matrix' and 'travel distance of the wildlives' , zones disrupting green spaces were ranging widely and re-divided to 236 sectors. 3. The analysis results for classifying the grades were that grade I appeared over industrial complex and housing complex widely. On the other side, grade II and III appeared around or between nature park and neighboring park Consequently, it was necessary to consider the grade and make zones disrupting green spaces into green space for improving green network.

Haussmann's Urban Green Space System in Paris' The Efficacities and the Logic of the Green Politics (오스만의 파리시 도심녹지시스템 : 그 효용성과 녹지정책의 논리)

  • 견진현
    • Journal of the Korean Institute of Landscape Architecture
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    • v.31 no.4
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    • pp.1-12
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    • 2003
  • The urban park provides a safe rest and leisure area, and offers the beauty of nature to counter the drearyness of urban space. It can provide benefits such as the reduction of environmental pollution, the regulation of the local climate, and it can also provide a safe area during times of disaster. However, there was no interest in urban park development and control in Korea during the economic boom of the mid 1960s. Furthermore, during the industrialization process, the population grew significantly in the cities and the cities' scales were noticeably extended; as a result of this, the living environment and the natural environment in the cities worsened. With rapid urbanization and industrialization, urban green area diminished, and it became necessary to organize the urban park system to improve quality of life. 45% of south korea's population lives in 6 cities, which is only 4% of Korea's land size. The Urban park system has to be considered in the urban planning process. Paris' urban green system can be a role-model for Korea's urban green development plan to function organically. Urban public park concepts have been used in Paris's urban planning since 1850. There were hardly any parks, gardens and squares for the public before the middle of the 19th century. For improving life-styles for the poor, Napoleon III strongly supported the development of green space systems in Paris by G.E. Haussmann. Napoleon III and Haussmann established and applied the urban green regulation within Paris urban planning. The purpose of this study is to investigate the green regulations Haussmann's Paris urban plan and urban green space system: and as a result of this, it can be an indicator for urban green space development in Korea.

Classification of Urban Green Space Using Airborne LiDAR and RGB Ortho Imagery Based on Deep Learning (항공 LiDAR 및 RGB 정사 영상을 이용한 딥러닝 기반의 도시녹지 분류)

  • SON, Bokyung;LEE, Yeonsu;IM, Jungho
    • Journal of the Korean Association of Geographic Information Studies
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    • v.24 no.3
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    • pp.83-98
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    • 2021
  • Urban green space is an important component for enhancing urban ecosystem health. Thus, identifying the spatial structure of urban green space is required to manage a healthy urban ecosystem. The Ministry of Environment has provided the level 3 land cover map(the highest (1m) spatial resolution map) with a total of 41 classes since 2010. However, specific urban green information such as street trees was identified just as grassland or even not classified them as a vegetated area in the map. Therefore, this study classified detailed urban green information(i.e., tree, shrub, and grass), not included in the existing level 3 land cover map, using two types of high-resolution(<1m) remote sensing data(i.e., airborne LiDAR and RGB ortho imagery) in Suwon, South Korea. U-Net, one of image segmentation deep learning approaches, was adopted to classify detailed urban green space. A total of three classification models(i.e., LRGB10, LRGB5, and RGB5) were proposed depending on the target number of classes and the types of input data. The average overall accuracies for test sites were 83.40% (LRGB10), 89.44%(LRGB5), and 74.76%(RGB5). Among three models, LRGB5, which uses both airborne LiDAR and RGB ortho imagery with 5 target classes(i.e., tree, shrub, grass, building, and the others), resulted in the best performance. The area ratio of total urban green space(based on trees, shrub, and grass information) for the entire Suwon was 45.61%(LRGB10), 43.47%(LRGB5), and 44.22%(RGB5). All models were able to provide additional 13.40% of urban tree information on average when compared to the existing level 3 land cover map. Moreover, these urban green classification results are expected to be utilized in various urban green studies or decision making processes, as it provides detailed information on urban green space.

A Study on the Planning for the Daemo Mt. Urban Park (대모산 도시자연공원의 정비방향설정에 관한 기초적 연구)

  • Kim, Hyun;Lee, Dong Kun;Kwon, Jeong Ah
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.5 no.1
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    • pp.51-58
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    • 2002
  • Since planning of green-network is deeply being discussed, natural environmental disruption from an enlarged civilization is causing serious problems for urban communities. The purpose of this research is to support green-network infrastructure of Gangnam-gu, Seoul, considering ecological environmental planning for urban parks. The Methodologies for this study are landcover classification, NDVI and subjective analysis, and residents' survey. Findings of this research are as follows : 1) Based on the results, the area adjacent to Daemo mountain shows significant differences between 1985 and 1999. These results imply that the green space has been decreasing and deeply destroying. 2) Residents' survey shows that people want to live with wild animals and plants in the natural park. Future development planning of urban park should consider primary factors : ecosystem, increasing inhabitants' participation.

Remodelling of Amenity Resources Classification System Based on Structural Characteristics of Rural Territory (농촌공간의 구조적 특성에 바탕으로 한 어메니티자원 분류체계 재정립)

  • Choi, Young-Wan;Kim, Young-Joo
    • Journal of Korean Society of Rural Planning
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    • v.18 no.1
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    • pp.1-8
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    • 2012
  • Rural policies in Korea have been changed into amenity-oriented ones recently to enhance the quality of life for villigians, which should be supported by the amenity-oriented maintenance system for rural space or environment too. Although so many studies on the classification system of amenity resources had been carried out, few ones which classified them principally by their spatial characteristics had been tried. From the viewpoint mentioned above, this study tried to propose a tentative classification system of amenity resources focussed on their locational characteristics. By the literature review, its draft was prepared, and after 2-round expert checks, the final table determined, which composed of 3-subsystems; green, production and living environment. Through the field application works in two case villages, its practical applicability was ascertained, from which two regarding points were found; public usability of terms and seasonality of amenity resources, especially green ones.