aGIS Ressources

del Río, M., Pretzsch, H., Alberdi, I. et al. Characterization of the structure, dynamics, and productivity of mixed-species stands: review and perspectives. Eur J Forest Res 135, 23–49 (2016). https://doi.org/10.1007/s10342-015-0927-6. (VPN necessary)
Estimating Forest Structure Indices for Evalution of Forest Bird Habitats by an Airborne Laser-Scanner H. Hashimoto, J. Imanishi, A. Hagiwara, Y. Morimoto, K. Kitada Conference Paper
Barnes, C.; Balzter, H.; Barrett, K.; Eddy, J.; Milner, S.; Suárez, J.C. Individual Tree Crown Delineation from Airborne Laser Scanning for Diseased Larch Forest Stands. Remote Sens. 2017, 9, 231. https://doi.org/10.3390/rs9030231
Jakubowski, M.K.; Li, W.; Guo, Q.; Kelly, M. Delineating Individual Trees from Lidar Data: A Comparison of Vector- and Raster-based Segmentation Approaches. Remote Sens. 2013, 5, 4163-4186. https://doi.org/10.3390/rs5094163
Special Issue Lidar Remote Sensing of Forest Structure, Biomass and Dynamics

R — the interpreter can be installed on any operation system.
RStudio — we recommend to use R Studio for (interactive) programming with R.
Git environment for your operating system.
For Windows users with little experience on the command line we recommend GitHub Desktop.
RQGIS installation guide.

Jean-Romain Roussel, David Auty, Nicholas C. Coops, Piotr Tompalski, Tristan R.H. Goodbody, Andrew Sánchez Meador, Jean-François Bourdon, Florian de Boissieu, Alexis Achim, lidR: An R package for analysis of Airborne Laser Scanning (ALS) data, Remote Sensing of Environment, Volume 251, 2020, 112061, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2020.112061.
The lidR package book Perfect manual for most lidr related stuff

r-bloggers best practices introduction
USGS best practices introduction
workflowR
usethis
Michael Dorman Introduction to Spatial Data Programming with R gives a lot of support for all kind of spatio temporal programming issues
Robert Hijmans Spatial Data Science with R website provides a valuable insight in the raster and terra package with a lot of tutorials.
Colin Gillespie Efficient R programming If you want to know it really have allook at this book.

Geocomputation with R HIGHLY Recommended From the authors trio Lovelace, Nowosad & Muenchow

The core of GIScience Download The editors Tolpekin & Stein 2012 are providing an excellent insight into GI concepts.

Data, Readings and more