Forest Canopy LAI and Vertical FAVD Profile Inversion from Airborne Full Waveform LiDAR Data Based on a Radiative Transfer Model

Forest Canopy LAI and Vertical FAVD Profile Inversion from Airborne Full Waveform LiDAR Data Based on a Radiative Transfer Model
– Han Ma, Jinling Song and Jindi Wang
Abstract:
Forest canopy leaf area index (LAI) is a critical variable for the modeling of climates and ecosystems over both regional and global scales. This paper proposes a physically based method to retrieve LAI and foliage area volume density (FAVD) profile directly from full waveform Light Detection And Ranging (LiDAR) data using a radiative transfer (RT) model. First, a physical interaction model between LiDAR and a forest scene was built on the basis of radiative transfer theories. Next, FAVD profile of each laser shot of full waveform LiDAR was inverted using the physical model.
Download Paper
About Author
Related Articles

Urban Surface Temperature Time Series Estimation at the Local Scale by Spatial-Spectral Unmixing of Satellite Observations
