Land suitability evaluation of agricultural industrial park based on UAV remote sensing in Zhaojue County of Sichuan Province

Zhaojue County is a typical Yi-inhabited County in the hinterland of Daliang Mountain. It is also a state-level deeply impoverished county with traditional agriculture as the main living means. In order to promote the transformation of agricultural development mode, modern agricultural park has been constructed in Zhaojue County. Through Unmanned Aerial Vehicle(UAV) aerial survey, the high-resolution images of the proposed park were obtained, and object-oriented image analysis software was used to quickly extract land use status and other information. Combined with other collected data, eight evaluation factors were selected, including slope, aspect, fault, geological hazard, land use, irrigation, transportation and nature reserve. With the support of Geographic Information System (GIS), the single-factor of land adaptability was evaluated first, and then the comprehensive evaluation was conducted. The results show that the land suitability of the proposed park is much suitable, with the total area of 2.56 km², accounting for 79.26%, more than 3/4. It is suitable for building a modern agricultural industrial park, standardized vegetable greenhouses, and open field vegetable cultivation base. After construction, it will not only provide vegetable supply to the surrounding cities, but also increase the income of farmers around the park, and promote the poverty alleviation of farmers around the park, showing good development prospects. Small UAV remote sensing system has the advantages of flexibility and low cost. It can quickly obtain the basic data of small area and large-scale agricultural industrial park, and has ideal application effect in land suitability evaluation of small areas in Southwest China. The natural environment and social environment of small area land are relatively single, and many large regional land suitability evaluation indexes are not fully applicable, so it is necessary to select appropriate evaluation indexes according to the main purpose of land use.