Its main strength is to classify hemispherical photographs of the plant canopy with algorithms specially developed for such a task and well documented in IEEE Geoscience and Remote Sensing Letters, Canadian Journal of Forest Research, and Methods in Ecology and Evolution. It supports non-circular hemispherical photography such as the ones usually obtained with auxiliary fisheye lenses attached to smartphones.
It offers a simple method to calibrate fisheye lense, more details here.
For digital cover photography, please refer to the coverR package, although you might find some functions from rcaiman useful, such as enhance_caim().
It integrates well with other software, such as HSP – HemiSPherical Project Manager, CIMES, and Hemisfer.
You can install the development version of rcaiman from GitHub with:
# install.packages("devtools")
devtools::install_github("GastonMauroDiaz/rcaiman")
You can install the release version from CRAN with:
install.packages("rcaiman")
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