!!! MY FORK !!! --- R functions for processing individual tree TLS point clouds from @tiagodc

Utilities to support landscape-, forest-, and tree-related data collection, manipulation, analysis, modelling, and visualization.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Tree Explorer in R - Lidar

Code (mostly R) to work with drone lidar data for forestry applications

Open source book: Geocomputation with R

Python package providing a file and object-based database to store tree objects.

Repository for master thesis "Analysis of the Potential of Deep Learning Approaches for Ecological Monitoring Using Multi-Spectral, UAV-Borne Imagery"

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

UAV related Remote Sensing Toolbox

Automatic Processing of TLS Point Cloud Data for Forestry Purposes

https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

Material for the session "Introduction to Deep Learning in R for the analysis of UAV-based remote sensing data"

Checking and benchmarking of dynamic vegetation models

An R package for forest growth simulation using the 3-PG process-based model

Modeling animal movement in forest

R Package for 2D and 3D mapping and data visualization