Method, device and equipment for mangrove coverage estimation of lidar point cloud data

Abstract

The application discloses a mangrove coverage estimation method and device based on unmanned aerial vehicle (UAV) laser radar point cloud data and equipment, relates to the technical field of vegetation coverage estimation, and comprises the following steps: acquiring original point cloud data of a mangrove region scanned by an UAV laser radar; preprocessing the original point cloud data to obtain normalized point cloud data; dividing the spatial range of the mangrove region into a plurality of grid units according to a preset grid pixel size; for each grid unit, performing coverage calculation of the grid unit on the normalized point cloud data falling into the grid unit by using a first echo proportion model to obtain the coverage of the grid unit; and generating a coverage spatial distribution map of the mangrove region based on the coverage of all the grid units. The first echo proportion model is used to calculate the coverage of the mangrove point cloud data, and finally, the coverage spatial distribution map of the mangrove region is generated, so that high-precision estimation and spatial visualization of the mangrove coverage are realized.

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