Research On Visual Landscape Evaluation Of Urban Park Based On Oblique Photography

In recent years,the urban environment has been destroyed like never before due to the development and expansion of urbanization,and more and more countries have begun to recognize the importance of protecting urban visual landscapes.As an important carrier for urban residents to contact nature,urban parks conduct visual landscape resource evaluation research and establish corresponding systems for urban parks,which is of great significance to China’s efficient development of urban resources,protection of urban humanistic ecological environment,and improvement of urban residents’ happiness.The results show that Changchun Nanhu Park covers a large area,has a high level of greening,has a good natural landscape,dense vegetation in the park,and although the forest area has a low spatial openness,it has formed an isolation effect with the surrounding urban areas to a certain extent.From the perspective of the data distribution of the overall factors,the data distribution of the natural attribute level factors is relatively scattered,and the spatial distribution of the natural attribute level factors in Nanhu Park is uneven,and there are great changes between the natural attribute level factors in the forest spatial boundary,along the lake embankment,Siting Bridge,park entrance and exit,and forest sports field.The results of the evaluation of the landscape perception level of Nanhu Park in Changchun City show that when viewing the panoramic image of Nanhu Park,people have a high evaluation of its beauty.According to the level of EEG energy,different emotions will be produced when viewing the visual landscape of different urban parks,in general,the shores of Nanhu Park,the forest sports field,and the Siting Bridge give people mental peace and more mental relaxation,but there are still many areas with good perceptual optimization potential.At the same time,the main factors affecting the visual landscape perception of Nanhu Park were revealed,and seven landscape perception level indicators were taken as dependent variables and natural attribute level indicators were used as independent variables,and a partial least squares regression relationship model was established,so as to recognize the main controlling factors affecting the visual landscape perception of Nanhu Park.It can be seen from the variable projection importance index(VIP)of the influencing factors that landscape perception is most frequently affected by the near-range landscape diversity index,the near-view landscape continuity index,the blue field index and the visible domain area index,and it is necessary to focus on planning and design for relevant indicators in future planning and design.The landscape fragmentation index,the diversity index of the landscape and the continuous index of the landscape in the near zone are positively correlated with the six landscape perception level factors,and improving the landscape design of the 0-25 m near zone can directly improve the quality of the visual landscape in the urban park.The prediction model constructed by regression analysis obtains the prediction value of the perception factor of Nanhu Park in Changchun City,scores the optimization priority score of Nanhu Park according to the prediction situation,and evaluates the areas with poor landscape perception effect and large potential for perception optimization.At the level of the natural attributes of visual landscapes,this paper attempts to break through the workload problem of traditional visual landscape evaluation requiring a large number of on-site shooting and the problem of data accuracy and richness caused by the use of network data,and introduces the relevant technical achievements of UAV oblique photography to explore efficient and convenient visual landscape evaluation methods.At the level of visual landscape perception,the study attempts to distinguish from the previous subjective evaluation method with the help of semantic difference method and beauty evaluation method,and objectively quantify people’s feelings of enjoying different visual landscapes with the help of EEG devices.