| A railway being built in Hubei was taken as the study subject, the digital photographs obtained through remote sensing by UAS and the techniques of photogrammetry were used in the research. Comprehensive plans for the drone types, the flight route planning, and the ground resolution were planned in order to identify the impact acreage, the impact volume, and the sufficiency of the environmental protection and water soil conservation in the project. The plans were then put to practice. The photographs obtained through fieldwork were processed by PIX4D and became all digital 3 dimensional models. They were then measured and classified through ARCGIS, with the plane accuracy reaching to 10 cm level. Through further analysis and extraction of the relevant data, the supervision that used to be quality focused is now promoted to a quantitative level, and the working efficiency is also improved. The achievement has been acknowledged by the parties of both construction and environmental management. Future research in UAS assisted supervision will focus on the legality of drone flying, the design of supervision plans, and the development of database. |
