Method for extracting forest stand vertical structure parameters on basis of airborne small-facula LiDAR (light detection and ranging) waveform data
A technology of waveform data and vertical structure, which is applied in the re-radiation of electromagnetic waves, the use of optical devices, radio wave measurement systems, etc., can solve the problems of difficult to describe vertical structures and low accuracy of vertical structure of forest stands.
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[0014] The present invention provides a method for extracting stand vertical structure parameters from airborne small-spot LiDAR waveform data, the implementation of which is as follows figure 1 As shown, it specifically includes the following operations:
[0015] Step 1. Generate a laser point cloud dataset based on the airborne small-spot LiDAR waveform data;
[0016] For the airborne small-spot LiDAR waveform data obtained during the flight, through peak detection, Gaussian decomposition or deconvolution methods, the files corresponding to each waveform data reflecting the feature points of the ground objects can be extracted. These files reflecting the feature points of the ground objects constitute the laser point cloud dataset.
[0017] Step 2, carry out the filter processing of ground point and vegetation point to described laser point cloud data set, utilize the ground point after filter processing to generate ground elevation model, subtract the elevation in the desc...
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