This package contains functions and algorithms to extend the lidR package (versions >= 4.0.0). These functions or algorithms are not yet or will not be included in the lidR
package either because they are:
lidR
usually because they are not sufficiently efficient. This package will NOT be submitted on CRAN and must be installed from github. It depends on lidR (>= 4.0.0)
and should be seen as a laboratory with more or less interesting content inside.
Lake delineation from point cloud using delineate_lakes()
Powerline segmentation from point cloud using find_transmissiontowers()
, classify_transmissiontowers()
, classify_wires()
, track_wires()
ptree()
: Vega, C., Hamrouni, a., El Mokhtari, S., Morel, J., Bock, J., Renaud, J.-P., … Durrieu, S. (2014). PTrees: A point-based approach to forest tree extraction from lidar data. International Journal of Applied Earth Observation and Geoinformation, 33, 98–108. https://doi.org/10.1016/j.jag.2014.05.001hamraz2016()
: Hamraz, H., Contreras, M. A., & Zhang, J. (2016). A robust approach for tree segmentation in deciduous forests using small-footprint airborne LiDAR data. International Journal of Applied Earth Observation and Geoinformation, 52, 532–541. https://doi.org/10.1016/j.cageo.2017.02.017LayerStacking()
: Ayrey, E., Fraver, S., Kershaw, J. A., Kenefic, L. S., Hayes, D., Weiskittel, A. R., & Roth, B. E. (2017). Layer Stacking: A Novel Algorithm for Individual Forest Tree Segmentation from LiDAR Point Clouds. Canadian Journal of Remote Sensing, 43(1), 16–27. https://doi.org/10.1080/07038992.2017.1252907multichm()
: Eysn, L., Hollaus, M., Lindberg, E., Berger, F., Monnet, J. M., Dalponte, M., … Pfeifer, N. (2015). A benchmark of lidar-based single tree detection methods using heterogeneous forest data from the Alpine Space. Forests, 6(5), 1721–1747. https://doi.org/10.3390/f6051721lmfauto()
is a fast algorithm for individual tree detection with 0 parameters designed to process thousands of square kilometres without supervision.
remotes::install_github("Jean-Romain/lidRplugins")
To install the package from github make sure you have a working development environment.
Xcode
from the Mac App Store.r-devel
or r-base-dev