A Study on Investigating the Landuse of a Rural Factory in Chengdu Plain by Using UAV

Developing factories in rural areas suited to their local conditions is very important for rural revitalization and integrated urban-rural development. Ecological and environmentally friendly efficient land use of rural areas play a key role in a regional sustainable development, which needs the information of land use of rural factories in detail in order to make their land use ecological and efficient. It is difficult to obtain the land use information in detail of rural factories because their distribution is extremely scattered. In order to overcome the difficulty, a new methodology is developed here. Several indicators proposed here which are used to describe the land use of rural factories in detail include building density, plot ratio, vegetation coverage rate, cement pavement coverage rate and water coverage rate. The methodology includes: (1) obtaining images of a rural factory by using Dajiang unmanned aerial vehicle (Dajiang UAV); (2) processing the images with camera lens model, producing ortho-images and mosaicking images; (3) extracting the area of a rural factory, the number of floors of buildings, vegetation area, cement pavement area and waterbody area in the rural factory from the UAV images, and creating their database; (4) calculating the indicators by using the database. A rural factory in Huanglong village of Chengdu plain, located in Qingliu Town of Xindu District of Chengdu city, is used as an example to explore the methodology here. The research shows that the methodology is of low cost, high efficiency and accuracy, and easy to be grasped, which has a broad application value in quickly and accurately obtaining the land use information in detail of rural factories which are sparsely scattered in vast rural area. The land use information in detail is essential for rural revitalization and construction of beautiful China. The research also discovered that the rural factory in Huanglong village is of 0.378 of building density, 0.435 of plot ratio, 23.69 % of vegetation coverage rate, 28.59 % of cement pavement coverage rate and 2.83 % of waterbody coverage rate.