공공정원이 현대도시의 새로운 영역으로 등장하며 시민가드너 양성교육이 확대되는 현상에 주목하여, 시민가드너 교육 참가자, 참여의향자, 일반시민으로 집단을 구분하여 도시정원에 대한 이미지와 효과 및 공동체성을 분석하여 다음과 같은 결과를 도출하였으며, 교육 의의 및 활성화 방안을 함께 고찰하였다. 24개 형용사 어의구별척도를 이용한 도시정원 이미지 평가 결과, 자연과의 관계를 나타내는 “친숙한, 정서적인” 등의 어의변수와 정원활동에 대한 태도를 나타내는 “상호교류적인, 적극적인”, 그리고 공간적 평가와 관련된 “확장적인, 자율 적인” 이미지에서 상대적으로 높은 평가치를 보였다. 교육참 가자는 “자율적인, 지속적인” 등의 어의변수를 높게 평가하여, 도시정원의 형태나 디자인보다는 유지관리와 지속성을 중시함을 알 수 있었다. 주성분분석에 의한 요인분석 결과로부터 교육참가자 집단의 요인적재값을 중심으로 요인별 특성을 파악하면, 잠재적(Potential) 차원의 1 요인은 “도시정원의 공공적 역할과 공동체성”, 평가적(Evaluative) 차원의 2 요인은 “공공조경으로서의 차별성”, 활동적(Active) 차원의 3 요인은 “미적 체험성”으로 명명할 수 있었다. 도시정원 효과에 대해 교육 참가자일수록 사회적, 환경적 측면을 중요하게 인식하고 있었고, 공동체의식지표 평균값(3.4)은 잠재참가 집단(3.31)과 일반시민 집단(2.69)에 비해 높게 나타났다는 점에서 공공성 인식 상의 차이를 볼 수 있었다. 시민가드너 교육이 정원식물 지식 습득의 의미를 넘어 평생교육이나 공동체 활동으로 인식 된다는 점에서 지속가능성을 위한 교육의 체계화 필요성을 확인할 수 있었다.

경관특성평가(Landscape character assessment)는 지속가능한 경관생태학적 설계 및 계획을 찾는데 있어 점점 중요한 역할을 담당하고 있다. 이 연구는 농촌경관(Rural landscape)평가방법의 잠재성에 초점을 두고 전문가에 의한 쉐필드 그린벨트의 경관가치 평가가 그린벨트 안이나 주변에 사는 거주자들의 의견을 반영했는지를 연구하였다. 쉐필드 그린벨트지역을 대상으로 경관특성평가를 하였고 설문지 조사 결과는 경관에 전문지식을 갖고 있

This study aimed at establishing the multi-ranged approach on data acquisition technique for rural landscape planning, which tried categorization, grading and transferring of landscape elements in the more detailed level. For the systematic management of database for the topographic informations in the village level, a kind of the aerial photographing techniques with UAV(Unmanned Aerial Vehicle) was used and its resultant data for the landscape simulation of the rural village, which in turn helped the convenient approach to understanding of its comprehensive spatial structure. The image data from aerial photography was systematically processed through; First, after revision of the distorted one, the image map was adjusted with the topographical and cadastral maps. Second, the farm houses and buildings, and other facilities difficult to find out in the topographical map was digitally read from the adjusted image. The topographical landscape view of rural village was simulated on the base of DEM(Digital Elevation Model) and the 3-dimensional shapes of farm houses and buildings were automatically modelled using the input system developed by the author. In conclusion, the aerial image information adjusted with the edited maps could give more intuitive and detailed villagescape than the ordinary one and through landscape simulation of the rural village, its topography, features of houses/buildings and spatial distribution of land uses were effectively reproduced. And, by the linkage between field survey and photographed/simulated results of the typical landscape elements using hyper-link method, it would be expected to develop as an effective visualization technique of rural landscape.

The purpose of this study is to suggest the landscape potential index for visualizing landscape information in the conservation of hilly landscape in urban fringe. For the visual and quantitative approach to topological landscape assessment, numerical entity data of DEM(digital elevation model) were processed with CAD-based utilities that we developed and were mainly focused on analysis of visibility and visual sensitivity. Some results, with reference in assessing greenbelt area of Eodeung Mt. in Gwangju, proved to be considerable in the landscape assessment of suburban hilly landscapes. 1) Since the viewpoints and viewpoint fields were critical to landscape structure, randomized 194 points(spatially 500m interval) were applied to assessing the generalized visual sensitivity, we called. Because there were similar patterns of distribution comparing to those by 56 points and 18 Points given appropriately, it could be more efficient by a few viewpoints which located widely. 2) Regressional function was derived to represent the relationships between probabilities of visibility frequency and the topological factors(topological dominance, landform complexity and relational aspect) of target field. 3) Visibility scores of each viewpoint were be calculated by summing the visual sensitivity indices within a scene. The scores to the upper part including ridge line have been more representative to overall distributions of visual sensitivities. Also, with sum of deviations of sensitivity indices from each single point's specific index to the weighting values of view points could be estimated rotationally. 4) The deviational distributions of visual sensitivity classes in the topological unit of target field were proved to represent the visual vulnerability of the landform. 5) Landscape potential indices combined with the visual sensitivity and the DGN(degree of green naturality) were proposed as visualized landscape information distributed by topological unit.