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earthengine-py-notebooks

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

ed2

Ecosystem Demography Model

forestlas

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

forestmetrics

Individual tree segmentation from LiDAR-derived point clouds

fsct

guolab

The share

kepler.gl

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

laspy

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

lidar_plot_registration

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

lidar_rcnn

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

lidr

Airborne LiDAR data manipulation and visualisation for forestry application

lt-changedb

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

lt-gee

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

nanopi-openwrt

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

nanopi-r2s

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

pyfor

Tools for analyzing aerial point clouds of forest data.

pymc

Bayesian inference in Python

rtls

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

sfa3d

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

tls2trees

tree-gen

Procedural generation of tree models in blender

treeqsm

Quantitative Structure Models of Single Trees from Laser Scanner Data

treeseg

Extract individual trees from lidar point clouds

unslider

The simplest jQuery slider there is.