• Proceedings of the Korea Water Resources Association Conference
• /
• 2010.05a
• /
• pp.1263-1268
• /
• 2010

불투수면 비율은 유역의 건전성을 나타내는 중요한 지표로서 도시화에 따른 도시유출의 특성을 추적하는 모델에서 널리 이용되어 왔고, 기존의 많은 연구를 통해서 수환경과의 밀접한 관계가 검증되었다. 불투수율은 비교적 쉽고 빠르게 측정할 수 있으며 유역계획에서 여러 가지 대안 적용이 가능하다는 점에서 유용한 지표로 이용되고 있다. 오늘날 토지이용변화로 인해 발생하는 유역생태계 변화 분석 등은 시, 공간적 제약으로 인해 명확하게 이루어지지 못하고 있어 인간활동에 의한 토지이용의 파편화(Fragmentation)가 어느 정도 발생하고 있는가를 파악하고, 이를 토대로 파편화에 따른 영향을 최소화하거나 사전에 예방하는 것이 필요하다. 따라서 본 연구에서는 경관분석 프로그램인 FRAGSTATS의 적용을 위한 경관요소로서 토지피복을 선정하여, 불투수면을 나타내는 시가화지역과 투수면을 나타내는 산림지역을 대상으로 1) 갑천 유역의 토지피복 변화에 따른 경관구조, 변화 양상을 분석하고, 2) 갑천 유역 내 6개 단위유역별로도 경관 생태학적 지표를 선정하여 이를 평가하였다.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.37 no.1
• /
• pp.78-86
• /
• 2009

Recently, there seems to besome problems in the urban visual landscape as a result of continuous economic growth and industrial development. At the same time, the public has begun to be aware of the importance of visual resources, and the necessity for visual landscape conservation and improvement. Therefore, the development of evaluative indicators for systematic visual landscape planning and design is urgent. The purpose ofthis study is to discover evaluative models and indicators for the diagnosis of urban visual landscapes. This study included the selection of 18 physical indicators(statistical data) by literature reviews, adoption of field and questionnaire surveys at 12 autonomous districts in Seoul and surrounding major mountain valleys and river streams(i.e. Mt. Nam and Han-River). The content of the questionnaire is scenic beauty. Moreover, the linear regression analysis between the scenic beauty mean scores and the physical indicator scores figure out the scenic beauty prediction model. As this study suggests, the most important indicators in urban visual landscapes are 'Greens', 'Park' and 'the number of apartment buildings(higher than 20 stories).' Based on the results, greens and parks should be priority elements to considerin urban landscape planning and design. Moreover, since the number of apartment buildings that are higher than 20 stories has a negative correlation with the scenic beauty score, it can be used as basic data for landscape planning. For the scenic beauty prediction models and evaluative indicators suggest a direction of urban management, each indicator becomes basic data for visual landscape planning and design. In following studies, if physical indicators and case studies are added, the scenic beauty prediction models and evaluative indicators could be more synthetic and systematic. Moreover, the development of physical indicators in three dimensions(3D)(i.e. results from visual district analysis, view surface analysis) could be expected to obtain more general and varied results.

• Journal of Korean Society of Forest Science
• /
• v.99 no.6
• /
• pp.777-784
• /
• 2010

The purpose of this study was to develop evaluation indices for forest landscape classification. The indices were chosen to enable forest managers to establish effective landscape management strategies through three times of focus group interviews and email survey with experts. The 13 landscape evaluation indices were finally divided into four categories. They were ecological health (degree of green naturality, degree of ecological naturality, disease and insect damage, crown vitality), aesthetic visual quality (naturalness, harmony, diversity, traditionality, aesthetic appreciation, rarity), and sensitivity (level of tourism/recreational use), interruptions (damaged land, artificial structures). The five-level was suggested for the forest landscape classification system.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.41 no.6
• /
• pp.84-95
• /
• 2013

Recently, to prevent damage to the landscape, outstanding landscape areas have been designated in advance. In particular, as a fundamental way to evaluate landscape elements, landscape diversity is an important criterion to assess an area with a high conservative value. Therefore, the purpose of this study is to develop a quantitative evaluation model of landscape diversity based on landscape elements and to verify the model by applying it to the study sites. The assessment indicators derived from the literature analysis are topography, vegetation, land-use pattern, and unusual landscape. Topography diversity is subdivided into land undulation and land-form. Vegetation diversity is subdivided into plant community diversity and stratification diversity. To quantitatively analyse each indicator's diversity, SHDI was selected as the central metric. All of the quantitative measures were implemented by using the statistical tool, FRAGSTATS. Through the process of each indicator's standardization and summary, the final landscape diversity index was calculated. The results of the study are significant as it was the initial study of landscape diversity evaluation to seek applicability. However, the results of the Landscape Diversity Evaluation Model in this study based on 4 indicators synthetically demonstrate that more than one or two outstanding indicators can be underrated. Therefore, each 4 assessment indicator results should be considered individually. Furthermore, using the maximum value for each indicator's standardization reflects that it is necessary to analyse various examples to obtain higher objectivity later.

• Proceedings of the Korean Institute of Landscape Architecture Conference
• /
• 2022.10a
• /
• pp.79-80
• /
• 2022

• Journal of the Korean Institute of Landscape Architecture
• /
• v.37 no.3
• /
• pp.69-81
• /
• 2009

This study was intended to evaluate the objective landscape of rural region using an additive integration index method in the Seondong region of Gochang-gun, Jeollabuk-do, Korea. This study consisted of the following three steps. First, this study developed an additive integration index calculation model for landscape assessment based on indicators and weight to each space type in accordance with three landscape fields which were developed by the expert Delphi method. Second, this study used NDVI (Normalized Difference Vegetation Index) and permeable area rate, which were available from high resolution satellite image, to calculate the green naturality degree, area rate, and building coverage respectively. Third, this study has calculated the landscape assessment index of rural regions using an additive integration index method made of assessment data and weight for each indicator. This study has found the following results: 1) landscape level was very poor in all 6 types of space, marking grade five; 2) while the highest level of natural landscape and mixed landscape was grade two, that of artificial landscape was grade five; 3) based on objective landscape, grade five showed the highest frequency, and grade one, two, three, and four followed in that order.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.36 no.4
• /
• pp.48-64
• /
• 2008

The aim of this research is to set a systemic Ecological Landscape Planning Model to cope with the destroyed landscape problems which was caused by massive development project and thoughtless development in country areas. The summary of research result are as follows. As a result of analysis on domestic and international literature, there are 60 planning index items which are nature conservation area, landscape conservation area, and build and manage wetland biotope and so on. total number of planning index is 34 after finalizing the physical index items. As a result of on-spot research, all 34 planning index after literature analysis is existing. Also, there are 38 finally-selected index which includes 4 added planning index in the process of research like natural vegetation in frequently-used spot. As a result of importance analysis on detailed planning index, most are above 5 points, which is relatively high. As a result of factor analysis on patterning for the detailed planning index, it was classified with seven elements. The first Ecological Landscape Planning model was set with integrated analysis on result of pattering for the detailed planning index and importance of detailed planning index. Based on first model, to make more systematic landscape, the analysis of MCB was conducted. As a result of MCB analysis according to planning index, it is confirmed that each planning index shows maximum. As a result of importance analysis on the 9 plans keynote, the average importance point was 4.62 for conservation area and 4.54 for enrichment area respectively. By integrating the result of importance analysis on basic aims of the first model, MCB analysis and plans, we set the second Ecological Landscape Planning model. In vertical transition, for example, 'conservation area' showed the importance point above 5.2 for all planning index except setting recreational space. Also, the analysis on parallel structure showed that relation between 'additional improvement, management, and connection' and other planning index is above 5.3 and importance on correlation with 'the part which should be protected from nature and landscape' marked 6.07 which is the highest.

• Proceedings of the Korean Institute of Landscape Architecture Conference
• /
• 2006.10a
• /
• pp.14-17
• /
• 2006

• Journal of the Korean Institute of Landscape Architecture
• /
• v.49 no.1
• /
• pp.42-53
• /
• 2021

Street trees improve the cityscape and air quality, reduce heat islands, and create wildlife habitats. Hence, they are essential parts of a city's green infrastructure. Therefore, several trees that are well adapted to the urban environment were planted. However, this caused the problem of simple trees being planted around the world. This study is to select more various street trees. To accomplish this, evaluation criteria and detailed indexes were created. The importance was indicated through the Analytic Hierarchy Process. For commercial roads, the priority of landscape characteristics is 0.2640, and among detailed indicators, the priority of shape is 0.1245. For work roads, the priority of landscape characteristics is 0.2496, and among detailed indicators, the priority of shape is 0.1177. For work roads, the priority of characteristics of civil service is 0.2250, and among detailed indicators, the priority of shape is 0.1177. For general roads, the priority of maintenance characteristics is 0.2479, and among detailed indicators, the priority of shape is 0.1062. For historical and cultural roads, the priority of regional characteristics is 0.3488, and among detailed indicators, the priority of regional characteristics is 0.1643. For ecological roads, the priority of ecosystem characteristics is 0.3488, and among detailed indicators, the priority of the diversity of species is 0.1643. For automotive-only roads, the priority of the ecosystem characteristics is 0.4639, and among detailed indicators, the priority of reducing emissions is 0.1643. This study will provide objective criteria for the selection of street trees.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.43 no.5
• /
• pp.74-86
• /
• 2015

The purpose of this study was to deduce the landscape evaluation indices that can be applied from the preparation for the registration of major national farm/fishery heritages to post-management. For this purpose, the Delphi survey was performed on experts. From August to November in 2014, the primary open survey, secondary open survey, and tertiary closed survey were performed to gather opinions from 28 experts, 25 experts, and 29 experts, respectively. As a result, the landscape evaluation indices for farm/fishery heritage consisted of five areas of evaluation, ten items of evaluation, and 40 indices of evaluation. The areas of evaluation were rurality, authenticity, aesthetics, tourism potentials, and locality. Rurality was classified into rurality of farm/fishery towns and nostalgia. Authenticity was classified into objective authenticity and existential authenticity. Aesthetics was classified into attractiveness and harmony. Tourism potentials were classified into value of resources and value of usability. Locality was divided into physical originality and cultural identity. The study made the following findings: first, the general grounds of farm/fishery landscape evaluation cannot be applied when evaluating the quality of landscapes of farm/fishery heritage, as their value as a cultural heritage should be considered. Second, the new indices valued emotional factors in addition to the physical factors considered by the existing farm/fishery landscapes. The new indices involved a more expanded concept of landscapes as it also considers everyday or temporary activities, including the farm/fishery activities of local people or participation in festivals and experience programs. Third, farm/fishery heritage focuses on the lives of local people, as it involves both the synchronic and the diachronic perspectives to see what is currently visible and what is no longer visible. This brings into consideration not only the farms and the natural environments but also their relationships with the villages, especially the residential areas. Finally, the indices reflected both the farm/fishery heritage's value as cultural heritage and its value for tourism. They derived temporary and dynamic landscapes, including the trading activities of local specialty markets in relation to the production landscapes. However, further studies should be conducted as this study could not rate the relative importance of indices or compare the total scores of landscapes without the weight of each item.