Abstract:
Objective Improving the quality of rural landscape is the key point to promoting the harmony between man and nature and forming a good living environment. Facing the needs of China’s rural residential environment construction in the new era, it is urgent for rural landscape to highlight regional characteristics through planning and design. This study explored the methods of landscape character assessment used in multi-scale rural space, in order to provide new ideas for the construction of regional rural landscape.
Method This paper puts forward the practical application of landscape character assessment tool in rural landscape identification and construction. Taking Horqin Right Front Banner of Inner Mongolia, northern China as an example, firstly, the working framework of multi-scale rural landscape character assessment was constructed based on the traditional LCA tools. Secondly, the geographic information analysis platform was used to classify, identify and describe the rural landscape characters from multi-scale. Finally, the decision-making evaluation system of rural landscape was constructed, and the corresponding landscape development strategies were put forward.
Result The landscape character map of the study area was obtained through analysis, and the optimization was put forward according to the analysis results, and the multi-scale and multi-level collaborative practice of rural landscape classification and decision-making from national scale to site level, from landscape characteristic area to landscape elements were completed.
Conclusion Compared with the traditional rural landscape quality evaluation, the multi-type and multi-scale landscape characteristic assessment has obvious advantages in the identification and differentiation of regional rural landscape, which could match the national territory spatial planning and emphasize the attention to the characteristics and diversity combination of rural landscape, and provide a new idea and path for the sustainable development of rural landscape.