• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.16 no.1
• /
• pp.131-145
• /
• 2013

The purposes of this research are : to analyze biotop type and carry out conservation value assessment in study areas, Daegu Science Park national industrial complex; to supply basic data for the landscape ecological planning; and to improve the application of assessment model with the development of Biotop Value Assessment Tool (B-VAT). The result is as follows. First of all, the field survey showed 434 species of flora and 220 species of insecta. According to the result of biotop type analysis in the biotop classification system with field survey, 13 biotope groups and 63 biotope types were classified. In the map of biotop type classification, readjusted farmland biotop(FA) was prevalent and forest biotop(E) was shown to the southeast side of the site. Next, according to the first assessment with B-VAT, total 19 biotop types including natural river(BA) with abundant plants had I grade and total 16 biotop types such as vegetable garden adjacent to river(BC) had V grade. In terms of the second assessment, we analyzed total 30 areas, total 82 areas, respectively, which had special meaning for the conservation of species and biotop(1a, 1b) and which had meaning for the conservation of species and biotop(2a, 2b, 2c). This research will be a basic data, which can solve the damage problem systematically and control it landscape-friendly with biotop classification and assessment which we developed. In particular, we expect that biotop value assessment tool(B-VAT) with GIS will be a great contribution to popularity compared with the value model by complicated algorism such as adding-matrix, weight and equal distribution. In addition, this will save the time and improve the accuracy for hand-counting.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.31 no.5
• /
• pp.139-145
• /
• 2003

This study aims to review the research trends of landscape construction and materials, and to discover the research characteristics in Korea. The research scope was limited to the 905 articles lin the Journal of Korean Institute of Landscape Architecture between 1973 and 2003. The results of the research were as follows. The number of articles concerning landscape materials and construction were few(5.8％), compared to other research fields. The articles were categorized by sequences of the structures, the construction and management, the development of engineering and the development of materials. The articles concerning construction and construction management were categorized into 3 types of quality management; construction and materials, the cost estimation and the work classification and processes. The soils was studied together with plants suited to such soil characteristics as layer, structure, and composition.

• Journal of Korean Society of Rural Planning
• /
• v.16 no.4
• /
• pp.33-43
• /
• 2010

Amenity landscapes in rural areas are becoming increasingly important as a resources to vitalize the rural areas. Befitting the times, The objectives of this study were 1) Extracting Landscape Evaluation photos: research preferences of 93 Photos taken from 15 site and analyze the possibility of Classification. select 12 photos for Image survey. 2)Adjectives select: Preliminary investigation into the 45 selected adjectives and adjectives by taking expert group of 21 adjectives were selected. Through reliability analysis, 19 adjective pairs were used to survey and factor analysis of images of landscape photographs. 3)Psychological characteristics of agricultural landscape survey and analysis: Psychological research on landscape photos and factor analysis, the agricultural production landscape to explain the 4 factors were extracted. And, each factor was discussed in relation to agricultural landscape.

• Journal of Korean Society of Rural Planning
• /
• v.14 no.1
• /
• pp.33-41
• /
• 2008

The main entrance is even disappeared nowadays when the component type is changed, because it loses the actual function. On the other hand, the type of main entrance is changed variously depended on the materials for house and method of construction. Eleven points in the Chungyang-Gun where the environment of rural villages is well maintained was choosed researched to make data. These data of visual component elements were analysed by using the SPSS 12.0 Windows. Cluster Analysis and Factor Analysis was performed to analyze the different types of main entrance in the rural villages. From the above research, we could conclude below results. Research result, The whole quality of the farming village gate with fine feeling and constant temperature characteristic order appeared with the fact that preference quality is highest, in afterwords was analyzed. Also the research which sees led and the result which appears from the landscape quality analysis which the residential gates are general and type by landscape quality analysis the result which appears with the comparative analysis overcomes the limit which the residential gates are general and type by landscape quality analysis the result which appears with the comparative analysis overcomes the limit which the abstractive landscape image has. Like this research result judges currently the research which is meaning which provides a planning standards and the guideline which the governmental department and the rural village improvement enterprising public opinion rural village residential enterprise which is propelling from oneself are detailed. Specially about landscape quality of the residential gate that presents a type classification and preference quality from the actual condition where the research is insufficient the hereafter rural village improvement enterprise specially, sees with the fact that will be the possibility of affecting is meaning to residential section the succeeding researches actively, there being could be advanced, wishes.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.43 no.4
• /
• pp.112-123
• /
• 2015

The purpose of this study is to analyze the biotope characteristics of Korean cities and set up biotope type structures for Korean cities based on biotope type classification, dominant biotope type, city's human and nature environmental characteristics and cluster analysis. The findings of the study are summarized as follows: First, regarding the analysis of biotope type classification, cities showed differences in terms of the standard of biotope classification and classification hierarchy. Next, the analysis of dominant biotope types showed the type of forest represents the largest area in most cities. Moreover, a city's characteristic analysis revealed large differences between cities. As a result of cluster analysis, cities were classified into five clusters overall. First, Cluster A showed a lower population level and urbanization level. Unlike other cities, Cluster A revealed that it has the largest percentage of agricultural areas. Cluster C showed very high levels in terms of population amount and urbanization conditions was named the 'Large-sized metropolitan cities-center of forest biotope area' based on it's characteristics. The findings of this study as summarized above are considered to play an important role in enabling detailed classification and preservation of biotope types fit for the characteristics of cities and minimizing the confusion caused by different biotope mapping methods when revising and complementing biotope maps.

• Journal of Korean Society of Rural Planning
• /
• v.14 no.3
• /
• pp.53-61
• /
• 2008

This study has intended to elicit the definition of rural landscape, to classify rural landscape type, and to develop the evaluation indicators of rural landscape, meeting the definition through delphi expert survey method. The survey was performed five times for 80 days by 20 experts. The delphi expert survey asked experts as follows: 1) to fill out open-ended questions regarding the definition of rural landscape, and classification of rural landscape types, and evaluation indicators; 2) to provide their own feasibility evaluation regarding the results of the previous answer; and 3) to reevaluate the feasibility of the definition, types, and indicators. Based on the survey results, this study has found the appropriate definition of rural landscape like the comprehensive complex of physical (objective) and nonphysical (subjective) factors characterizing natural and/or artificial scenary of rural village itself Also, this study has developed the evaluation indicators of rural landscape in accordance with space types and landscape units classified. The developed indicators included areal ratio, the degree of green naturality, the building coverage ratio for physical landscape field, and skyline, landscape adjectives, color landscape, semantic scale.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.34 no.2 s.115
• /
• pp.1-17
• /
• 2006

The purpose of this study was to analyze biotope types of urban land-use patterns. Forest areas were considered according to vegetation type and potential for succession. Urban ecosystem structure was analyzed according to land use, land coverage, vegetation structure (actual vegetation, diameter at breast height, layer structure, and revetment). As a results of the classification, the biotopes were divided into 71 types according to the urban ecosystem structure. In the case of the Hanam province, the biotopes were divided into 51 types: 26 forest types; 5 swampy and grass land types; 3 farm land types; 3 types of planted land, and 8 types of urbanization.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.2 no.1
• /
• pp.29-37
• /
• 1999

Land cover classification is an essential basic information in natural environment management; however, land cover classification studies in Korea have not yet been proceeded to a sufficient level. At the present, only a limited number of the precedent studies that only cover definite city area has been conducted. Furthermore, there is almost no research conducted on the land cover classification schemes that could accurately classify the Korea's land cover conditions. This study primarily focuses on the land cover classification scheme which carries the most urgent priority in order to classify and to map out the Korean land cover conditions. In order to develop the most suitable land cover classification scheme, many foreign land cover classification cases and projects that are being carried out were reviewed in depth. The land cover classification scheme this study proposes comprises 3 levels : The first level consists of 7 different classes; the second level consists of 22 different classes; and the third level is made up of 50 classes. The land cover classification map will serve many important roles in natural environment management, such as the conjecture of natural habitats and estimation of oxygen production or carbon dioxide absorption capability of a forest. In water pollution modelling, the land cover classification data can be used to estimate and locate non-point sources of water pollution. If applied to a watershed, modelling it will allow to estimate the total amount of pollution from non-point sources of pollution in the water shed. The land cover classification data will also be good as a barometer data that determines defusion of air pollutants in air pollution modelling.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.39 no.5
• /
• pp.119-126
• /
• 2011

The standard unit manpower and material in landscape architectural construction was consist of a standard and universal work classification. However, these constructional methods have created a number of problems in utilizing and responding on a variety of recently-developed working methods such as new constructional skills and technologies. This research decided that presenting the amendments of work classification of a standard unit manpower and material in landscape architectural construction was very important, and investigated those work classifications which required these new amendments. First of all, assessment items were selected through the literature reviews and a preliminary survey. Then, these assessment items were surveyed to the total of 60 professional landscape architecture field. The results of this study were as follows; First, the utilization level of the a standard unit manpower and material in landscape architectural construction was highest in the area of work classification of planting unit manpower and material. Second, the work classifications that needed to be added were recognized as leveling the ground construction, landscape structure construction, paving construction, water facilities construction, and outdoor facilities construction. Third, in the field of the a standard unit manpower and material in landscape architectural construction, 66.7% of the respondents replied that some amendments were necessary, and those amendments needed work classifications were identified as work classification of planting unit manpower and material was gigantic plant, topiary tree, temporary planting, exchange dead tree, etc. In the area of digging out was gigantic plant and plastic tree were recognized. The survey respondents also answered that, in keeping and management work classifications some amendments in pruning waste were necessary, and in the fields of rubble masonry work classifications some improvements were required in rubble aperture planting unit manpower and material and sodding and herbaceous sowing was a realistic lawn size unit manpower and material was needed. Based on the results explained above, this study suggests that amendments for a standard unit manpower and material in landscape architectural construction are necessary, especially in the areas of planting size and quality of work classifications unit manpower and material and in the unit manpower and material that affects the quality of lands caping constructions.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.51 no.3
• /
• pp.70-82
• /
• 2023

The recent surge of IT and data acquisition is shifting the paradigm in all aspects of life, and these advances are also affecting academic fields. Research topics and methods are being improved through academic exchange and connections. In particular, data-based research methods are employed in various academic fields, including landscape architecture, where continuous research is needed. Therefore, this study aims to investigate the possibility of developing a landscape preference evaluation and prediction model using machine learning, a branch of Artificial Intelligence, reflecting the current situation. To achieve the goal of this study, machine learning techniques were applied to the landscaping field to build a landscape preference evaluation and prediction model to verify the simulation accuracy of the model. For this, wind power facility landscape images, recently attracting attention as a renewable energy source, were selected as the research objects. For analysis, images of the wind power facility landscapes were collected using web crawling techniques, and an analysis dataset was built. Orange version 3.33, a program from the University of Ljubljana was used for machine learning analysis to derive a prediction model with excellent performance. IA model that integrates the evaluation criteria of machine learning and a separate model structure for the evaluation criteria were used to generate a model using kNN, SVM, Random Forest, Logistic Regression, and Neural Network algorithms suitable for machine learning classification models. The performance evaluation of the generated models was conducted to derive the most suitable prediction model. The prediction model derived in this study separately evaluates three evaluation criteria, including classification by type of landscape, classification by distance between landscape and target, and classification by preference, and then synthesizes and predicts results. As a result of the study, a prediction model with a high accuracy of 0.986 for the evaluation criterion according to the type of landscape, 0.973 for the evaluation criterion according to the distance, and 0.952 for the evaluation criterion according to the preference was developed, and it can be seen that the verification process through the evaluation of data prediction results exceeds the required performance value of the model. As an experimental attempt to investigate the possibility of developing a prediction model using machine learning in landscape-related research, this study was able to confirm the possibility of creating a high-performance prediction model by building a data set through the collection and refinement of image data and subsequently utilizing it in landscape-related research fields. Based on the results, implications, and limitations of this study, it is believed that it is possible to develop various types of landscape prediction models, including wind power facility natural, and cultural landscapes. Machine learning techniques can be more useful and valuable in the field of landscape architecture by exploring and applying research methods appropriate to the topic, reducing the time of data classification through the study of a model that classifies images according to landscape types or analyzing the importance of landscape planning factors through the analysis of landscape prediction factors using machine learning.