Abstract: A beach erosion detection and quantitative calculation method based on unmanned aerial vehicle mapping is provided, including the following steps: S1, configuring unmanned aerial vehicles; S2, obtaining beach aerial image data in different periods by using the unmanned aerial vehicle; S3, delineating a plurality of sections on the beach, and extracting elevation data of the sections from the multi-period data by using the aerial images processed; S4, in order to unify the reference boundary of multi-period aerial photography data, a unified lowest water line is defined, and the upper boundary is the coastline; S5, automatically identifying and predicting factors affecting beach erosion; S6, performing real-time erosion prediction and future erosion trend simulation; S7, calculating the total amount of beach erosion, and comparing the sand amount in each grid to get the distribution characteristics of beach erosion change.

Abstract: A beach erosion detection and quantitative calculation method based on unmanned aerial vehicle mapping is provided, including the following steps: S1, configuring unmanned aerial vehicles; S2, obtaining beach aerial image data in different periods by using the unmanned aerial vehicle; S3, delineating a plurality of sections on the beach, and extracting elevation data of the sections from the multi-period data by using the aerial images processed; S4, in order to unify the reference boundary of multi-period aerial photography data, a unified lowest water line is defined, and the upper boundary is the coastline; S5, automatically identifying and predicting factors affecting beach erosion; S6, performing real-time erosion prediction and future erosion trend simulation; S7, calculating the total amount of beach erosion, and comparing the sand amount in each grid to get the distribution characteristics of beach erosion change.