Abstract:Taking the core area of Hani Rice Terraces as the research object, the landscape visual sensitivity (LVS) analysis was carried out using the geographic information system (GIS) technology to select relative objective factors such as relative slope, relative distance, and sight probability. The subjective preference values (SPVs) of 50 professionals in different landscape photographs were obtained by the scenic beauty estimation (SBE) method. Subsequently, using the integrated LVS and SPVs, we constructed a sensitivity-subjective preference matrix, through which the core area of the Hani Rice Terraces was divided into four districts and corresponding landscape protection and planning suggestions were proposed. The results showed that the values of sensitivity and preference were both high at the Laohuzui and Malizhai tea factory. At Duoyishu, the value of preference was high, but that of sensitivity was low. The sensitivity of Huangcaoling was high but the preference value was low. For Bada, Qingkou, and Quanfuzhuang both preference evaluation and sensitivity showed lower values. In this study, we constructed a matrix to combine the subjective and objective data, i.e., effectively quantified data through GIS and preference evaluation of the perceptions of tourists. This paper presents ideas for landscape visual evaluation.