Modeling Lidar Waveform for Vegetation Canopy Based on Path Length Distribution

Author:

Li Weihua,Yan Guangjian,Li Yi,Mu Xihan,Jiang Hailan,Li Linyuan,Hu Ronghai,Zhou Kun,Xie Donghui,Kallel Abdelaziz,Gastellu-Etchegorry Jean-Philippe

Publisher

Elsevier BV

Reference51 articles.

1. the results of plot 6 in Fig. 10) because crowns in the actual scene are relatively complex. As any analytical model, PATH_LiDAR uses assumptions, such as constant FAVD and LAD in the crown, which can lead to errors. In the nine plots of the actual scene, the ratio of multiple scattering energy to total energy is approximately 10.5% for the results without waveform convolution, and 4% for the results with waveform convolution. When the waveform is convolved, scenes with higher LAI show the maximum return signal from the vegetation layer;Ni-Meister;PATH_LiDAR depicts the waveform well, while errors still occur,2005

2. Characteristics of Shortwave and Longwave Irradiances under a Douglas-Fir Forest Stand;T A Black;Canadian Journal of Forest Research-Revue Canadienne De Recherche Forestiere,1991

3. Modeling laser altimeter return waveforms over complex vegetation using high-resolution elevation data;J B Blair;Geophysical research letters,1999

4. An unexpectedly large count of trees in the West African Sahara and Sahel;M Brandt;Nature,2020

5. Processing full-waveform lidar data: modelling raw signals;A Chauve;ISPRS Workshop Laser Scanning and SilviLaser,2007

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