Digital hemispherical photography (i.e., hemiphoto) is a convenient, rapid tool to estimate two key canopy structure parameters: leaf area index (LAI) and leaf angle distribution (LAD). Underlying such use of hemiphotos is a gap probability model widely known as either the Poisson model or Beer's Law to describe lightvegetation interactions. Based on this gap formula, numerous algorithms have been developed to convert hemiphotos into LAI and LAD. The hemiphoto2LAI package implements a total of 135 LAI estimation models, including the majority of classical algorithms proposed through the past several decades and more importantly a newly proposed binary nonlinear regression algorithm (BNR). The implemented algorithms are adopted to a total of 19 common leaf angle distribution models. Details on the BNR algorithm and the package can be found in Zhao et al. (2019).
Package details 


Author  Kaiguang Zhao [aut, cre], Tongxi Hu [aut], Yang Li [aut] 
Maintainer  Kaiguang Zhao <lidar.rs@gmail.com> 
License  GPL (>= 2) 
Version  0.1 
URL  https://github.com/zhaokg/hemiphoto2LAI 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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