The goal of silvtools is to provide a reproducible workflow for tree-level analyses of fine-scale remote sensing datasets.
The package contains functions for a wide variety of tasks including segmentation, tree matching, competition index calculation, crown structural metric creation with alpha shapes, and solar simulation with rayshader
Please note that silvtools is a relatively new package and its functions are still in the development stage. As a result, issues may be common and some functions may not yet have the level of stability and functionality desired. Despite this, silvtools builds upon the work of other excellent packages such as lidR and rayshader, and has the goal of providing a reproducible workflow for tree-level analyses of fine-scale remote sensing datasets. Nevertheless, caution should be taken when using the package’s functions as they are not thoroughly tested and may have bugs or limitations that need to be addressed.
You can install the development version of silvtools from GitHub with:
# install.packages("devtools")
devtools::install_github("liamirwin/silvtools")
library(silvtools)las <- readLAS(system.file("extdata", "uls.laz", package = "silvtools"))
tree_las <- segment_trees(las, mcwatershed(chm = rasterize_canopy(las, res = 1, p2r()),
treetops = locate_trees(las, lmf(ws = 5, hmin = 5))))
# Get alphashape metrics produces convex hulls for each treeID and generates crown volumes as well as other structural metrics
ashape_df <- get_alphashape_metrics(tree_las, prog_bar = TRUE)Thank you to extensive help and code contributions from many members of the UBC Integrated Remote Sensing Studio (IRSS) including but not limited to; Martin Queinnec, Samuel Grubinger, Rik Nuijten. See IRSS LAB and IRSS Github for more.