• Journal of Korean Society of Forest Science
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• v.104 no.2
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• pp.300-308
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• 2015

Landscape planning system established in 2007. It is necessary that forest landscape management will be established based on the long-term and wide scope plan for forest management. This study suggested the considering factor while the establishing forest landscape plan for forest characteristics. Forest landscape type was consisted of 4 medium classification(geographical resources, waterscape, forest resources, cultural resources) and 12 small classification(geographical resources: panorama of ridge, ridge of curious rock peaks, waterscape: waterfall, valley, lake, forest resources: crown layer scenery, royal azaleas of main ridge, autumnal tints of ridge slope, flowers in herbaceous plants, inside of forest, forest trail scenery, cultural resources: facilities). This study suggested that consideration on 6 functions of forest in landscape zone planning and forest landscape management plan each classification (main ridge, sense of season, waterscape, rock resources).

• Journal of the Korean Institute of Landscape Architecture
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• v.36 no.2
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• pp.14-23
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• 2008

Ran Gang is a huge, attractive river which meanders through Seoul, the capital of South Korea. However, during the modernization of Seoul, the river gradually lost its natural beauty and healthy condition. Han Gang Renaissance is a project to upgrade the look of the Seoul waterfront, by overcoming this disaster and reorganizing the surroundings of Han Gang. This research articulates the design strategies and description of the prizewinning work of the International Design Competition for Yeouido Riverside Park that was linked to the Han Gang Renaissance Project. There are three key points that basically speak to the identity of the new waterfront, Yeouido Riverside Park. First, the current day Yeouido was recreated as an artificial island through the rapid expansion of the city and the initiation of the shore protection works. However, because it is the only island still remaining that shows the history of Han Gang, the park was designed to be the place which preserves the lyric of sand island and the emotional memory of riverside. Secondly, among the six districts of the Han Gang Renaissance Project, the two districts that are facing each other, Yongsan and Yeouido, are the central areas promoting international finance and business. Despite Yongsan's complete urban image, the exquisite harmony of pastoral scenes and skyscrapers of the Yeouido waterfront is presented to develop an active mutual relation with Yongsan. Lastly, this design scheme re-establishes the relationship between this competition's site, Yeouido Riverside Park, and a neighboring site, Yeouido Park.

• Proceedings of the Korea Society of Design Studies Conference
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• 2000.11a
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• pp.84-85
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• 2000

G7 고속전철개발 산업에서 계획된 부속실은 경부 고속전철(K-TGV)의 부속실을 그대로 사용하는 것으로서 좁은 통로와 획일적 공간, 불필요한 공간에 의한 승객 편의시설의 결여되었기에, 이의 수정보완이 요구되었다. 아래의 사진들은 K-TGV의 부속실 모습이다. (중략)

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.36 no.1
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• pp.120-128
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• 2018

The purpose of this study is to establish basic data for the continuous protection management policy of domestic natural world heritage and mixed world heritage, and to examine the present situation and characteristics of the protection management according to the World Heritage Convention on the World Heritage listed Huangshan. The results of this study are as follows. First, Huangshan began to be protected by the establishment of the Huangshan Construction Committee in 1933, and after the designation of national park in 1982, laws and regulations were established in the central ministries, And various projects related to utilization have been implemented. Secondly, the establishment of the boundary for protection was actively intervened by the central government, such as the reorganization of the boundary of Huangshan through the administrative district plan. In order to protect the ecological and landscape value as well as the cultural factor, And designated a heritage designated area. Third, the protection management of Huangshan was divided into four major stages. The first phase was divided into the period when administrative measures were taken to manage the protection of Huangshan. The second phase was designated as a national park in Huangshan. The third period was the time of the protection-oriented project according to the recommendation of the international organizations after the World Heritage listed. The fourth period was the expansion of the tourism industry for the continuous use of protection of Huangshan city, My preservation business was being implemented. Fourth, Huangshan is managed by the central government and the city government. Huangshan, which is a mixed heritage, is managed jointly by the Ministry of Cultural Heritage Administration and the Ministry of Natural Heritage Administration. The protection and management of Huangshan promoted the efficiency and expertise of the heritage-related work through the establishment of the administrative unit-specific management system, and the local governments were entrusted with the authority to implement the protection management policies that meet local characteristics. Fifth, the preservation area of Huangshan has been destroyed by the development policy centered on the mountain. In addition, according to the operation of accommodation facilities, there are problems such as sewage, garbage disposal, and environmental pollution caused by tourists, and the damage caused by pests and diseases in planted plantations around the area and changes in ecosystem due to the composition of cable cars. Sixth, for the continuous protection of Huangshan, strict regulations on new construction, extension and management of accommodation are required, and it is necessary to install facilities to limit and control the number of visitors.

• Journal of the Korean Institute of Landscape Architecture
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• v.46 no.6
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• pp.97-110
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• 2018

This study examined the value of the old roads and roadscapes as modern assets. Topographic maps of the two years (1916 and 1919, which were produced by the Japanese Government-General of Korea) and the digital topographic map produced in 2017, were analyzed. The total amount of roads that have survived for the past 100 years are located in 108 places and total 26.32km. After examining the remnants of the roads in YeongDo, the type of scenery experienced along the roads were classified into nine kinds. The place where a sequential scenery experience takes place due to the survival of the past, the experience is based on the transition of historical scenery, not the scenery of the present time. A new model that can preserve, manage and plan this scenery is required. Therefore, we propose a new landscape model that elevates the concept of gaze from a spatial concept to a spatiotemporal concept. Based on this model, we propose a conservation criterion of the landscape viewed on the road as a viewpoint. As a modern asset for the next 100 years of YeongDo, it is necessary to understand and preserve the meaning of the landscape and roadside scenery as a transit landscape network. The remnant of roads from 100 years ago suggests that the scenery on the road was has been maintained, and it is the historical landscape of the YeongDo area. Through the landscape conservation plan proposed in this study, it is expected that the historical roads and their landscape will be positioned as a modern asset and an aspect of local heritage, and the future conservation and management of the roads and roadscapes will continue.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.3
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• pp.166-178
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• 2023

This study aims to introduce and assess CNN Deep Learning methods to analyze visual landscape images on social media with embedded user perceptions and experiences. This study analyzed visual landscape images by focusing on a healing place. For the study, seven adjectives related to healing were selected through text mining and consideration of previous studies. Subsequently, 50 evaluators were recruited to build a Deep Learning image. Evaluators were asked to collect three images most suitable for 'healing', 'healing landscape', and 'healing place' on portal sites. The collected images were refined and a data augmentation process was applied to build a CNN model. After that, 15,097 images of 'healing' and 'healing landscape' on portal sites were collected and classified to analyze the visual landscape of a healing place. As a result of the study, 'quiet' was the highest in the category except 'other' and 'indoor' with 2,093 (22%), followed by 'open', 'joyful', 'comfortable', 'clean', 'natural', and 'beautiful'. It was found through research that CNN Deep Learning is an analysis method that can derive results from visual landscape image analysis. It also suggested that it is one way to supplement the existing visual landscape analysis method, and suggests in-depth and diverse visual landscape analysis in the future by establishing a landscape image learning dataset.

• Journal of Korean Society of Forest Science
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• v.76 no.2
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• pp.138-144
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• 1987

This study discusses the concepts of landscape structure, landscape indices, interrelationships between indices, prediction of change in forest Landscape and forest management as a scenic resource, and other relevant problems. To illustrate the methods of national landscape interpretation, a case study was carried out for Ashinoko bridge in Fujihakoneizu National Park, Japan. Although the exact form of computer-generated landscape planning may vary, depending on the type of computers and users involved, users of these computer systems should be aware of problems that may be encountered when assessing the quality of computer perspectives without the aid of a detailed field survey. Nevertheless, it is expected that computer systems for analysis and management of forest landscape will become effective and economic tools to promote human health and provide more recreational opportunities in forest and national park planning.

• Journal of the Korean Institute of Landscape Architecture
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• v.46 no.1
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• pp.127-142
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• 2018

Ttukseom was once a suburban area that had a government horse ranch for national use and a naenogpo (area of royal farm land). During the Japanese colonial period, a pleasure ground was built at Ttukseom, and after independence, it has been used as a park through the process of urbanization. This study examines the creation of the Ttukseom Pleasure Ground and the process through which the pleasure ground were transformed to a park. This study also explores its landscape and cultural aspects. In the 1930s, Gyeongseonggwedo (京城軌道), a private railway company, built a pleasure ground at Ttukseom to attract passengers, according to the business model of Japanese railway companies, in which recreational areas were developed near railway routes. Mass media portrayed this area as a "rural landscape" in contrast to the city. The Ttukseom Pleasure Ground emerged as a popular summer resort for Gyeongseong citizens. At the same time, it was managed by Gyeongseongbu (京城府). The city of Seoul began to manage the Ttukseom Pleasure Ground following independence, and development plans for Ttukseom as a pleasure ground or a park were continuously drafted but never implemented. Even after Korea's independence, the operation and use of the pleasure ground did not change significantly from the colonial era. In the late 1980s, the Ttukseom Pleasure Ground became the Ttukseom Han River Citizen's Park, and the sandy beach of the Han River was removed. Nonetheless, the previous facilities and major activities such as an open-air swimming pool, camp ground, and areas for boat recreation remained as major park programs. When the urbanization of Ttukseom was completed, its idyllic image disappeared and it became a park instead of a pleasure ground. Since parks expand their programs, it can be concluded that by providing those kinds of programs, the Ttukseom Pleasure Ground transformed to a park.

• Journal of the Korean Institute of Landscape Architecture
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• v.36 no.4
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• pp.1-14
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• 2008

Although the Dreamland site was the only flat amusement park in the northern part of Seoul, the site lost its function as a regional park due to aging and, therefore, was no longer in use. The site is surrounded by currently existing high dense low-story housing blocks and proposed new towns. A renovation plan for Dreamland was raised by the City of Seoul to enhance the quality of the urban environment in the northern part of Seoul. This study articulates the design concepts and strategies of the prizewinning work of the International Design Competition for Gangbuk Large Park. The three key points can be summarized as follows: First, this design proposal tried to find a new possibility for a large mountain park in an urban areas. These days, mountain parks are used limitedly as ordinary living spaces for activities such as a walking, hiking, and physical training. New strategies were sought to reconstruct the sentiment with which our ancestors enjoyed the mountains. Second, this proposal tried to make Dreamland a socially self-sufficient park. We designed a park which generates self-energy and which communicates with the city, not a park which only exists as a green island in a city. Lastly, rain fed paddy fields, a typical Korean vernacular landscape, was a tangible space which represented people's life-styles harmonizing with the nature. Rain fed paddy fields is a design motif which puts the three surrounding mountains together with the site. It is expected that the new design will works as a noted place.

• Trans-
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• v.12
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• pp.51-79
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• 2022

This study investigates the methods for deriving colors which can serve as a reference to users such as designers and or contents creators who search for online images from the web portal sites using specific words for color planning and more. Two experiments were conducted in order to accomplish this. Digital scenery photos within the geographic scope of Korea were downloaded from web portal sites, and those photos were studied to find out what colors were used to describe daytime and nighttime. Machine learning was used as the study methodology to classify colors in daytime and nighttime, and KSCA was used to derive the color frequency of daytime and nighttime photos and to compare and analyze the two results. The results of classifying the colors of daytime and nighttime photos using machine learning show that, when classifying the colors by 51~100%, the area of daytime colors was approximately 2.45 times greater than that of nighttime colors. The colors of the daytime class were distributed by brightness with white as its center, while that of the nighttime class was distributed with black as its center. Colors that accounted for over 70% of the daytime class were 647, those over 70% of the nighttime class were 252, and the rest (31-69%) were 101. The number of colors in the middle area was low, while other colors were classified relatively clearly into day and night. The resulting color distributions in the daytime and nighttime classes were able to provide the borderline color values of the two classes that are classified by brightness. As a result of analyzing the frequency of digital photos using KSCA, colors around yellow were expressed in generally bright daytime photos, while colors around blue value were expressed in dark night photos. For frequency of daytime photos, colors on the upper 40% had low chroma, almost being achromatic. Also, colors that are close to white and black showed the highest frequency, indicating a large difference in brightness. Meanwhile, for colors with frequency from top 5 to 10, yellow green was expressed darkly, and navy blue was expressed brightly, partially composing a complex harmony. When examining the color band, various colors, brightness, and chroma including light blue, achromatic colors, and warm colors were shown, failing to compose a generally harmonious arrangement of colors. For the frequency of nighttime photos, colors in approximately the upper 50% are dark colors with a brightness value of 2 (Munsell signal). In comparison, the brightness of middle frequency (50-80%) is relatively higher (brightness values of 3-4), and the brightness difference of various colors was large in the lower 20%. Colors that are not cool colors could be found intermittently in the lower 8% of frequency. When examining the color band, there was a general harmonious arrangement of colors centered on navy blue. As the results of conducting the experiment using two methods in this study, machine learning could classify colors into two or more classes, and could evaluate how close an image was with certain colors to a certain class. This method cannot be used if an image cannot be classified into a certain class. The result of such color distribution would serve as a reference when determining how close a certain color is to one of the two classes when the color is used as a dominant color in the base or background color of a certain design. Also, when dividing the analyzed images into several classes, even colors that have not been used in the analyzed image can be determined to find out how close they are to a certain class according to the color distribution properties of each class. Nevertheless, the results cannot be used to find out whether a specific color was used in the class and by how much it was used. To investigate such an issue, frequency analysis was conducted using KSCA. The color frequency could be measured within the range of images used in the experiment. The resulting values of color distribution and frequency from this study would serve as references for color planning of digital design regarding natural scenery in the geographic scope of Korea. Also, the two experiments are meaningful attempts for searching the methods for deriving colors that can be a useful reference among numerous images for content creator users of the relevant field.