Method for generating topographical data for landslide prediction by using drone and selecting landslide harzard zone by using the topographical data

摘要

The present invention relates to the generation of terrain data for predicting landslides using drones and a method of selecting a hazardous area for landslides using the drones. The present invention utilizes a dron with a GNSS receiver and an inertial navigation system (INS) We will create orthophoto and digital elevation model (DEM) through the post - image fusion and perform precise coordinate matching on the image using the ground reference point (GCP) obtained through the GNSS survey. The numerical elevation model (DEM) constructed through the drone is provided as input data of the infinite slope stability analysis model for predicting landslides. Through this, it is possible to classify the landslide risk grade due to heavy rainfall into 6 stages, The area of occurrence is also selected. The flow direction analysis, the upstream contribution area and the catchment area are automatically calculated by using the spatial information (GIS) analysis method for the digital elevation model (DEM) data constructed by the drone, thereby effectively generating the basic data used for the infinite slope stability analysis do. The slope stability index (SI) of the infinite slope stability analysis can be used to construct the 6th grade landslide risk, and SI is very low. there was. The analysis of the skeleton confirms the risk of landslides that are highly likely to occur. The present invention can be utilized as decision making data in the field of ground disaster for slope reinforcement for the reduction of landslide and the occurrence of landslides and establishment of the resident safety measures.