R functions for processing individual tree TLS point clouds

Quantitative Structure Models of Single Trees from Laser Scanner Data

Airborne LiDAR data manipulation and visualisation for forestry application

Extract individual trees from lidar point clouds

Openwrt for Nanopi R1S R2S R4S 香橙派 R1 Plus 固件编译 纯净版与大杂烩

rTLS: Tools to Process Point Clouds Derived from Terrestrial Laser Scanning

Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.

Procedural generation of tree models in blender

LiDAR R-CNN: An Efficient and Universal 3D Object Detector

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

使用 Github Actions 在线编译内置 Clash 的 NanoPi-R2S 固件

A collection of 300+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

Tools for analyzing aerial point clouds of forest data.

code for generating metrics of forest vertical structure from airborne LiDAR data

Individual tree segmentation from LiDAR-derived point clouds

Scripts to extract spectral change information from LandTrendr data to a geodatabase

3D visualization of forest inventory plots and probabilistic approach to co-registering a stem map with lidar data

Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.

Ecosystem Demography Model

The simplest jQuery slider there is.

Bayesian inference in Python