Rural landscape classification based on combination of perception elements and sensing data

Landscape classification is the precondition and basis for the description, mapping and evaluation of regional landscape differences. This study took Fourth Tuan Town and Huaiqiao Town, Quzhou County, Hebei Province as the study area. Following the principles and theoretical basis of landscape architecture, landscape ecology and taxonomy, the rural landscape was classified by using the method of combining subjectivity and objectives. Among them, the objective classification method was designed based on high-resolution remote sensing images, topographic data, soil data and other multivariate geographic data, and kernel density analysis method. The subjective classification method was designed based on the cluster analysis method and the visual landscape, which obtained from the field survey in the study area combining the image landscape. The sources of visual landscape were extracted from the artistic conception of the rural landscape description in the famous Chinese pastoral poems. The results showed that: this study constructs a bottom-up rural landscape classification system, which divides the landscape types of the study area into 3 rural landscape groups, 4 rural landscape areas and 55 rural landscape categories, as well as 108 rural landscape elements. The spatial relations among rural landscape groups, landscape area, landscape types and landscape elements be explained. The results could provide theoretical and practical basis for rural landscape planning and design and beautiful rural construction in the development strategy of rural revitalization in the study area, as well as other similar region in China.