This study has intended to build a rural landscape evaluation model based on an integrated landscape assessment paradigm of rural region using an additive integration index method and applied the model to the Seondong Region of Gochang-gun, Jeollabuk-do, Korea. To reach this goal, this study developed a model to calculate Integrated Landscape Assessment Index. The model has employed the Objective Landscape Index, the Subjective Landscape Index, and the weighted values, and was applied to the Seondong region. This study has found the following results: 1) forests and water spaces were assessed with relatively better visual preferences and better landscape ecosystem; 2) the historic cultural area and scenic agriculture as well as general farm land were assessed with moderate ratings; and, 3) the villages included in development plan, their adjacent arable farming land, and the village watercourses were forming relatively poorer landscape.

The purpose of this study is to suggest a landscape resources evaluation strategy of rural waterfront villages along the river. This strategy consists of three phases: 1) an evaluation of rural amenity landscape resources, 2) an evaluation of water landscape resources, and 3) development of a positioning map based on the results of phase 1) and 2) the study result as follows. First, the evaluation method used in phase 1) was modified as a set of proposed evaluation indicators to assess development potential on rural waterfront villages. Second, to evaluate water landscape resources in rural waterfront villages, a series of evaluation index was developed including water area, diversity of water resources, biodiversity, and landscape quality. And the last, the positioning map showed relative position of waterfront villages obtained from two evaluation results: rural amenity landscape resources and water landscape resources. The study examined the proposed strategy as a possible alternative to evaluate landscape quality to 398 rural waterfront villages along the Han River. Landscape resources evaluation strategy proposed here could contribute to government officials and planners to operate systematic planning and management of rural waterfront villages.

This study is to make value estimating system to valuate prototype landscape of rural and to derive itemized importance to select priority preservable object The results of the study are summarized as follows, It is examined value estimating standard by analyzing prototype landscape related previous study, law and order. Also, It is derived conclusive prototype landscape value estimating system by doing attribute assessment of preserving objects while surveying the site and interviewing professionals, Value estimating system is classified into five items of physical value which are integration, harmony, diversity, symbolism and aesthetics, The historical-cultural value are divided into four categories which are religious value, originality, historicity and scarcity, The communal values are divided into three categories which are sociality, continuing and regional locality and also divided into three categories which are rarity, primitiveness and diversity as the ecological value, Relative priority of prototype landscape value estimating system result is derived as historical-cultural value as the superior position and physical value, communal value and ecological value as the priority order. In the subordinate, historical categories are derived to be the most valuable and originality, symbolism, integration, regional locality, continuing, harmony, aesthetics, religious value, primitiveness, diversity of physical values and diversity of ecological value in order of the priority assessment The results of the study have the meaning of practical use in prior selection and preservation plan of preserving prototype landscape as practical alternative plan for systematical preservation of damaging prototype landscape.

Rural landscape is an outcome of residents' life activity based on natural environment. Unlike city, rural residents make their own landscape over a period of time interacting with nature through cultivating and building houses and huts based on the background. Therefore, residents' role in rural area is of greater importance than city's and their recognition of landscape is a key factor to evaluate and manage rural landscape. Landscape Evaluation Map which utilizing Feeling Map method is a evaluation tool to [md out residents' recognition of landscape. In this tool, responses evaluate landscape around their living space and mark color dots which mean landscape grade on a map. This research is to examine effectiveness and applicability of the tool, Landscape Evaluation Map, which is recommended to estimate residents' evaluation of landscape. Through analyzing 7 cases of field application, the effectiveness of Landscape Evaluation Map has been verified and also demerits have been drawn. After modifying detailed techniques and developing resident education, Landscape evaluation map could be applied to [md out landscape resources rather than to evaluate whole rural landscape.

This study has intended to evaluate rural subjective landscape through participation of residents and visitors according to space types, and to perform comparative analysis of evaluation results between residents and visitors. This study has employed a survey method for which 58 residents of 8 villages within Seondong region at Gochang-gun and 70 visitors to Green Barley Field Festival in the target region have participated. 42 landscape view points were selected according to landscape scopes and space types, and then the preference was evaluated using landscape adjectives after showing pictures already taken for each landscape view point. This study has found the following results. First, whereas residents gave high points to natural landscape and artificial one at the historical culture areas in comparison with other landscape scopes, visitors gave them low points on the other hand. Second, visitors evaluated the cultivated area among space types of mixed landscapes with high value. Third, based on t-test for comparative analysis, the statistically significant differences of evaluation results appeared at 6 places among 8 natural landscapes, 3 places among 12 artificial landscapes, and 3 places among mixed landscapes.

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.

The color and structure of urban constructions is a factor of urban landscape and shows their characteristics. Hence the modern buildings deal with their materials and external appearance as an important factor, making up the urban image. But it was nearby impossible to evaluate the value of visual landscape with objective measuring method. Most of all, it depends on the subjective estimation of a few talented or high educated experts with a sense of beauty. Such kinds of estimation can in some cases include arbitrary interpretations. In relation to this kind of problems, it is tried here in this study to analyse the human response of brain wave pattern (EEG) with use of SD method, while the tested persons watch the urban landscape scenery constructed in a visual reality. The tested persons were 20 adult male and female with no color blindness and intact cognitive function. Light source with color filter was used for color environment in a dark soundproof chamber. The signal of EEG is analysed digitally and grouped into the α and β waves. The result showed that relative power of α wave ratio increased in the natural landscape scenery with blue and green color. From these results it was possible to evaluate the human response, which is affected by urban and natural color and structure stimulation and it might be useful as an indicator of visual cognition amenity toward the design of urban construction environment.

The purpose of this study is to find the bi-polar adjectives for rural stream landscape evaluation by the semantic differential scale and to suggest the major determinants of visual preference in rural stream landscapes. For this, the bi-polar adjectives for rural stream landscape evaluation was found by the method of the reliability test, and the spatial image was analyzed by the factor analysis. The level of visual preference was measured by slide simulation test, and these data were analyzed by the multiple regression. The major findings of this study can be summarized as follows : 1) Of the bi-polar adjectives expressing psychological and physical characteristics, the hi-polar adjectives which demonstrated reliability and consistency run as follows : Bi-polar adjectives expressing psychological characteristics : 'calm-bustling', 'unfamiliar-familiar', 'still-active','depressing-brisk', 'discomfortable-comfortable', 'suppressed-free', 'lifeless-living', 'quiet-noisy', 'unpleasant-pleasant'. Bi-polar adjectives expressing physical characteristics : 'artificial-natural', 'narrow-wide', 'rocky-not rocky', 'desolate-fertile', 'dirty-clean', 'enclosed-open', 'flat-steep', 'not gravelly-gravelly', 'thicketed-not thicketed', 'not weedy-weedy'. 2) Two factors, the harmony and the movement, were derived from the factor analysis for the psychological variables. Three factors, the naturalness, the rock, and the vegetation, were derived from the factor analysis for the physical variables. 3) Rural stream landscape types were classified into four types by the multi-dimensional scaling method. Type III, IV obtained higher rank of visual preference and type I, II obtained lower. 4) For all types, the factors determining the level of visual preference were found to be the harmony, the naturalness, and the vegetation. The visual preference determinants of rural stream landscape need to be considered in improving or restoring the rural stream landscapes.