Mountain-type Landform Landscape Recognition And Perception Evaluation Method Based On DEM

In the process of rapid development of tourism,the extensional development model brings about the similarity of tourism landscape and the lack of authenticity of tourism resources.How to solve the problems brought about by the rapid development of tourism,realize the sustainable development of tourism destinations,and enhance the tourism destinations.Quality is an urgent problem for tourism geographers.In the context of the development of contemporary tourism,this paper takes the spatial relationship between landscape and tourists as the starting point,and based on the theory of landscape perception,proposes a new method of landscape recognition and evaluation,and explores new ideas for landscape quantitative calculation.The perception of the landscape is a spatial measure of the degree of perception of the tourist landscape.The basis and core of the landscape is visual perception.On the basis of visual perception,the interpretation of the landscape connotation brings the inner experience and the pleasure feeling.The visual perception expresses The spatial positional relationship between the landscape and the tourists describes the degree of perception of the external form and semantic connotation of the landscape in different locations and perspectives.Tourists have obtained high-quality visual experience during the tour,and they have an important significance in understanding the image of the tourist destination,the sustainable development of the tourist destination,and the promotion of the tourism landscape.In the past,the researchers studied the landscape perception from the landscape itself,borrowed the comprehensive thought of cartography,abstracted the landscape into the landscape semantic feature points,and calculated the spatial differentiation of the landscape perception intensity within the tourist destination.This paper proposes from the perspective of tourists.The mountain type landform landscape identification and evaluation method is used to measure the degree of perception of the mountain type landform landscape by the observer at a fixed position.The grassland Tianlu Road in Zhangjiakou City was selected as the research case area.The empirical study on the identification and evaluation methods of mountain-type geomorphic landscape was carried out with the layered and topographic landscape as the representative.This paper firstly analyzes the layered and topographic landscape,based on the definition of landscape analysis.Combining the visual domain calculation method with the aggregation surface method,a three-step polymerization method is proposed.Through the GIS three-dimensional software landscape simulation experiment,the aggregation threshold is set according to people's perception of the landscape,and the landscape unit,landscape layer and landscape are extracted.Introduce a variety of evaluation index factors to construct a landscape evaluation system: 1 Based on the terrain relief commonly used in digital terrain analysis to evaluate the landscape fluctuations.2 The topographic skeleton line reflects the internal structural changes of the landscape.Therefore,the number and length of the topographic skeleton lines falling into the landscape unit are used as the index factors for the evaluation of the internal structure of the landscape.3 The landscape perspective is the direction in which the landscape is in the observer,and the perspective of the landscape is calculated based on the European direction.Through the demonstration of Prairie Tianlu,the practicability of the mountain-type geomorphic landscape identification and evaluation method is verified,and the quantitative calculation of the landscape is realized.Through the multi-view and multi-level grading of the evaluation index factors,different types of layers are stacked.The results of the geomorphic landscape and the grading of the prairie Tianlu highway line can be directly used for tourism planning and landscape design,which can provide refined quantitative data for the development of tourism sites and enhance the refined level of landscape design planning.