• 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.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.2
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• pp.126-138
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• 2012

The purpose of this study is to evaluate the imbalance of green space using various spatial analysis methods and to establish the management zone for green space with service supply in the aspect of its use in Daegu. The total green space of Daegu is 48,936.1ha which is the second among 7 metropolitan cities of Korea. According to the imbalance analysis of green space, the Gini's coefficient based on the area was not high, on the other hand, the Gini's coefficient based on the population was high by above 0.6. According to an evaluation of service supply of green space in Dalseo-gu, the area within about 100m around large green space was supplied with green spaces of above $25m^2$/pop. On the other hand, the area such as Sangin, Jukjeon, and Yongsan was not almost supplied with green space. Finally, 'Rich zone', 'Fair zone', 'Poor zone', and Broken zone' could be established based on the service supply for the management direction of green space. The findings from this study can be used as the basic data for selecting the construction priority of new green spaces.

• Journal of the Korean association of regional geographers
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• v.22 no.3
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• pp.666-680
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• 2016

Four parks were selected to study the current situation after large scale suburban housing development in the 1990s. Since housing development road network have expanded with other facilities. First of all, green space area available per housing unit is 7.11- 22.0 sq. m. These parks neither extend as green corridor with surrounding hillside mountains (the river or lakes) nor act as the wind path from the mountains. Some housing units have reconstructed and the others will be redeveloped in near future which would more challenges for the residents in terms of quality of their life.

• Journal of the Korean Institute of Landscape Architecture
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• v.43 no.2
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• pp.114-124
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• 2015

In the city, the urban park contributes to the quality of citizen life in many ways, and the importance of the urban park as an urban planning facility is growing each day. In this study, evaluation of park service supply adequacy in Suwon-si, the difference in analysis methods, and the type of land use at urban park catchment area analysis were analyzed. As a result, there were remarkable differences between the two analysis methods. In Suwon-si, the catchment area by network analysis was only about 41% of catchment area by buffer analysis. However, when basic local authorities establish planning of parks and green areas, they use buffer analysis to calculate the park service area. It means that such calculations of urban park service areas may be wider than actually used. Also, because there were differences between urban park catchment areas by land use types, guidelines of planning parks and green areas will be adjusted. Although quantitative expansion of the park area is also important for the realization of green welfare, it is necessary to consider city characteristics such as the population size, population density, land use types, and so on.

• 한국공간정보시스템학회:학술대회논문집
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• 2005.05a
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• pp.249-253
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• 2005

인공위성 데이터를 이용한 원격탐사 기술과 지형공간정보시스템의 통합에 의한 도시에의 활용은 도시 계획뿐 만 아니라, 환경정비와 유지 관리 측면 등에서 중요한 역할을 하고 있다. 본 연구는 대상지역의 Landsat TM 영상자료를 이용하여 보정과정을 수행하고, GSIS 시스템의 NDVI(Normalized Difference Vegetation Index)식을 이용하여 식생지수를 추출하였다. 산출된 식생지수를 5개 등급으로 분류하여 비 식생지역과 식생이 활발한 지역을 구분하여 분석하였고, 인공위성 데이터의 밴드간 비연산 처리를 실시하여 식물의 건강상태를 나타내는 NDVI를 위성 데이터를 이용하여 추출함으로써, 시가지내의 녹지분포에 대한 시계열적 변화를 분석하였다. 이 결과 도심주변지역에 분포하는 낯은 구릉지에서 점차적으로 도시화가 이루어짐을 알 수 있었고, 전체 면적별 녹지분포가 높은 구릉지 및 산악지역의 3, 4, 5등급지역 면적 비율이 68.9%에서 37.2%로 감소한 것으로 나타났다.

• Korean Journal of Environment and Ecology
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• v.18 no.2
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• pp.236-248
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• 2004

This study was carried out to propose improvement planting method by the research and analysis of planting concept, planting density, planting style and pattern in apartment complex, Seoul. Survey sites were selected by reflecting the change of green area ratio : Hawgok Jugong apartment complex, Gangseo-gu(1974), Samik-green apartment complex, Gangdong-gu(1980), Dongsindaea apartment complex, Gangseo-gu(1992). Green area in apartment complex was classified with front green area, side green area, and back-side green area. Planting concept that composed of landscape planting concept but anyother concept was not, was similar to all sites not differ from creation time. And planted species was not differ from planting style. Planting density was of both conopyㆍunder story layer was 0.0∼0.2 tree/$m^2$, and that of shrub layer was 0.0∼0.5 tree/$m^2$ Shrub layer planting density was insufficient and the density was not changed according to the creation time. Canopyㆍunderstory and shrub was planted to another green space, not concern with multi-layer structure. Planting pattern was utilized to single planting, linear planting, and random triangle planting, but it was not to the change that in each green space planting concept. Green area in apartment complex should be variety according to planting density, planting structure and planting pattern. And we should get the function of covering and beauty in case of front green space, that of ecological environment and increasing green volume in case of back-side green area, that of increasing green volume in case of side green area, apartment complex.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.31 no.2
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• pp.143-150
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• 2013

Recently, environmental issues such as climate warming, ozone layer depletion, reduction of tropical forests and desertification are emerging as global environmental problems beyond national problems. And international attention and effort have been carried out in many ways to solve these problems. In this study, the growth of green was calculated quantitatively using the technique of remote sensing and temperature change was figured out through temperature extraction in the city. The land-cover changes and thermal changes for research areas were analyzed using Landsat TM images on May 2002 and May 2009. Surface temperature distribution was calculated using spectral degree of brightness of Band 6 that was Landsat TM thermal infrared sensor to extract the ground surface temperature in the city. As a result of research, the area of urban green belt was increased by $2.87km^2$ and the ground surface temperature decreased by $0.6^{\circ}C{\sim}0.8^{\circ}C$ before and after tree planting projects. Henceforth, if the additional study about temperature of downtown is performed based on remote sensing and measurement data, it will contribute to solve the problems about the urban environment.

• Journal of the Korean association of regional geographers
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• v.23 no.1
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• pp.136-150
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• 2017

This study analyzed the spatial change of urban green spaces in Daegu from 1989 to 2009 using cell based spatial metrics. To do so, the conversion process of land covers during the past 20 years was explored using a land cover change detection matrix. The synoptic analysis with a moving window sampling strategy was conducted to quantify cell based spatial metrics related to size, shape, cohesion, and diversity and to explain the spatial change at the local level. Difference maps were then generated by subtracting the 1989 maps of spatial metrics from the 1998 maps and the 1998 maps from the 2009 maps. The gradient analysis was performed to identify the directional change of spatial metrics along an urban development axis in Daegu. The results from this study show that urban green spaces in Daegu during the past 20 years have been gradually fragmented around the new town housing development districts such as Dalseong-gun, Seongseo, and Ansim. Forests were most prominently fragmented in the Hwawon area while most rapidly in the Chilgok area. Grasslands were largely fragmented in many areas due to the decrease in size and cohesion indices and most fragmented in the Ansim area. The spatial pattern of the decreased and fragmented urban green spaces identified by this study can be used as a base data for establishing the environment-friendly urban development strategy in Daegu.

• Journal of the Korean Institute of Landscape Architecture
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• v.43 no.4
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• pp.62-74
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• 2015

This study was carried out to provide examples of planting methods for the construction of street green spaces with abundant greenery by analyzing road type, surrounding land use and planting structures in street green spaces on Port Island, Kobe, Japan. Port Island_(total area: 826ha) is a marine cultural city located in Japan's first artificial island with facilities of urban function and port facilities. The study site was designated at 11 plots of $55{\sim}285m^2$ on Port Island, and topography structure styles were divided into four types with mounding style, slope style, slope and flat style, flat style according to the adjacent roads width. The area adjacent to the middle roads with high levels of noise and pollution set up the mounding style, slope style, slope and flat style of multi-layer structures using topographic properties. The area adjacent to small roads focused on a green strip with shrubs on a flat style. Surrounding land-uses include a public institution, housing complex, and a commercial building. The planting concept was a buffer and landspace function in case of the middle road_(lane 4) while the small road_(lane 2) was a landspace function. Planting species were diverse with Liquidambe formosana, Cinnamomum camphora, Sapium sebiferum, Cedrela sinensis, Laeocarpus sylvestris var. ellipticus, Ginkgo biloba, Prunus serrulata var. spontanea, Zelkova serrata, Quercus glauca, Juniperus chinensis, Magnolia kobus, Rhododendron spp., Camellia japonica, Abelia mosanensis, etc. Planting density was 0.02~0.08(0.04) individual/$m^2$ at the canopy layer, 0.02~0.08(0.04) individual/$m^2$ at the understory layer. Ratio of green coverage was 40.0~173.7(93.0)% at the canopy layer, 2.1~79.8(34.9)% at the understory layer and 17.9~64.2(32.9)% at the shrub layer. $Gr{\ddot{u}}volumenzahl$ was $1.43{\sim}6.67(4.13)m^3/m^2$ at the canopy layer, $0.02{\sim}2.01(0.85)m^3/m^2$ at the understory layer and $0.14{\sim}0.58(0.26)m^3/m^2$ at the shrub layer. The ratio of green coverage of street green space on Port Island was higher than that of Seoul, and particularly, the ratio of green coverage and $gr{\ddot{u}}volumenzahl$ at the shrub layer differed, compared to the main street green space in Korea. The result of this study may be applicable to other coastal reclaimed cities in terms of setting methods for street greenery considering the topography structure, planting structure and planting function.

• Journal of the Korean Institute of Landscape Architecture
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• v.36 no.2
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• pp.24-31
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• 2008

Studies for demarcation of urban areas by ecological type have been developed, but the demarcation of urban areas by ecological perception is thus far dependent on artificial land use. Therefore, the purpose of this study is to find factors that account for the urban area ecosystems by surveying a variety of ecosystem factors. By land use type, the urban area of Gangdong District, Seoul was defined. Then ecological factors in each polygon were surveyed. Ecological factors are associated with energy use(building coverage ratio, floor area ratio and ground temperature), water circulation(biotope area factors and impermeable pave ratio) and biological diversity(bird appearance index and green area ratio). The correlation between each factor was analyzed. The results indicate that urban ground temperature is divided into three groups(high, middle and low) by the biotope area factor. The bird population is divided into two groups(abundant and scarce) by the green area ratio. Therefore, demarcating the urban areas by ecological type is applicable to the biotope area factor and green area ratio.