A Novel Method Based on Kernel Density for Estimating Crown Base Height Using UAV-Borne LiDAR Data

As an essential parameter in forestry, crown base height (CBH) faces many tasks. The methods are still developing for estimating it. Unmanned aerial vehicles (UAVs) light detection and ranging (LiDAR) supplies new, massive, and high-density data for estimating CBH. Many methods had been generated to...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2022, Vol.19, p.1-5
Hauptverfasser:	Wang, Yantian, Xi, Xiaohuan, Wang, Cheng, Yang, Xuebo, Wang, Pu, Nie, Sheng, Du, Meng
Format:	Artikel
Sprache:	eng
Schlagworte:	Convolution Crown base height (CBH) Densification Density Elevation elevation frequency histogram Error analysis Estimation Height Histograms Kernel kernel density Kernels Laser radar Lidar light detection and ranging (LiDAR) Methods Polynomials Regression analysis Remote sensing Root-mean-square errors Statistical analysis Trees Understory unmanned aerial vehicle (UAV) Unmanned aerial vehicles Vegetation
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