Support the analysis of drone derived imagery and point clouds as a cheap and easy to use alternative/complement to light detection and ranging data. It provides functionality to analyze poor quality digital aerial images as taken by low budget ready to fly drones. This includes supported machine learning based classification functions, comprehensive texture analysis, segmentation algorithms as well as forest relevant analyzes of metrics and measures on the derived products.
uavRstanalysis toolbox package is far from being mature. You will need for most of the
uavRst functions a bunch of third party software. The most comfortable way to fulfill these requirements is to install
SAGA-GIS. Following the excellent provided by the
RQGIS team will give you a good first try to ensure a smooth working environment.
Most of the LiDAR related operations can be done by the great R package
lidR. However for some of the basic point cloud related operations you will need to install the
LAStool software. The
LAStools toolset is available at the rapidlasso homepage. Please download it and unzip it as usual. For Windows systems it is by default expected that you put it at
C:/LASTools, running Linux at
Note: For running LAStools tools under Linux you first need to install wine.
In addition you need to install the
In case of any problems drop an issue or try to use the actual github hosted version of the package.
Nevertheless all mentioned software packages have to be installed correctly on your the OS. Most of it tested under Windows and Linux and should run... The most easiest way to obtain a fairly good runtime enviroment is to setup Linux as a dual boot system or in a VB.
A full list of necessary libaries and binaries beyond
R will hopefully (soon) be provided.
You will find some tutorials and examples at the uavRst Wiki. Please feel free to participate.
The master branch is a github mirror for the
To install the actual development version from
github you need to have installed the
devtools::install_github("gisma/uavRst", ref = "develop")