Classification of relative slope sensitivity.

The World Natural Heritage is a rare and irreplaceable natural landscape recognized by all mankind, with outstanding significance and universal value. Among them, the World Heritage Karst sites(WHKs) holds an important position due to its special natural beauty and aesthetic value. In the field of landscape evaluation, interdisciplinary and interdisciplinary cooperation using different methods has always been a research focus. However, there is still a gap in the evaluation of natural landscape aesthetic value based on UGC(User Generated Content) data and deep learning models. This article is based on a public perspective, using social media UGC data, crawling images and texts as data sources, and combining SegFormer deep learning models, ArcGIS spatial analysis, natural Language Processing Technology (NLP) and other methods to conduct quantitative research on aesthetic value. Research has found that: (1) Huangguoshu Scenic Area has an excellent natural environment, and landscape elements with high naturalness (vegetation, water) are more attractive to tourists, with diverse landscape combinations; (2) There is no complete positive correlation between tourist sentiment bias, landscape diversity, and vegetation coverage. Emphasis is placed on the aesthetic perception path from bottom to top, from the surface to the inside. The comprehensive emotional value is 14.35, and the emotional values are all positively distributed. The distribution density and extreme value of positive emotions are greater than those of negative emotions; (3) The emotional bias of tourists is directly related to visual sensitivity, showing a synchronous trend of change. The visual sensitivity of the Great Waterfall and Dishuitan areas is relatively high, mostly at I-II level sensitivity. This method enhances the data source channel, which is conducive to obtaining the correct tourist evaluation orientation. In traditional subjective landscape evaluation, rational parameter indicators are added to reduce the probability of error, provide data support for its natural beauty description, break through the time and space limitations of aesthetic evaluation, and provide scientific reference for quantifying the aesthetic value of other heritage sites.世界自然遗产是全人类公认的珍稀且不可替代的自然景观，兼具突出意义与普遍价值。其中，世界遗产喀斯特地貌（World Heritage Karst sites, WHKs）凭借其独特的自然风貌与美学价值占据重要地位。在景观评价领域，跨学科乃至多学科协作结合多元研究方法始终是学界关注的热点。但当前基于用户生成内容（User Generated Content, UGC）数据与深度学习模型开展的自然景观美学价值评价研究仍存在空白。本研究立足公共视角，以社交媒体平台的UGC数据为基础，通过爬取图像与文本作为数据源，结合SegFormer深度学习模型、ArcGIS空间分析技术、自然语言处理（Natural Language Processing, NLP）等方法，对自然景观的美学价值开展量化研究。研究发现：(1) 黄果树景区自然环境优越，高自然度的景观要素（植被、水体）更受游客青睐，景观组合类型丰富多样；(2) 游客情感偏向、景观多样性与植被覆盖率之间并非完全正相关。本研究着重探讨从表层到内核、自下而上的美学感知路径，综合情感价值得分为14.35，且情感价值均呈正向分布，积极情绪的分布密度与极值均高于消极情绪；(3) 游客的情感偏向与视觉敏感度直接相关，二者呈现同步变化趋势。大瀑布与滴水潭区域的视觉敏感度较高，多处于I-II级敏感度区间。该方法拓展了数据源渠道，有助于获取准确的游客评价导向；在传统主观景观评价中加入理性参数指标，可降低误差发生概率，为景区自然美学描述提供数据支撑，突破美学评价的时空限制，同时为其他遗产地的美学价值量化研究提供科学参考。