eorez,github

lidr

Airborne LiDAR data manipulation and visualisation for forestry application

mof_caldern

Documentation of a tree segmentation and species classification for the university forest caldern

napari

napari: a fast, interactive, multi-dimensional image viewer for python

nrt

Near Real Time monitoring of satellite image time-series

pycrown

PyCrown - Fast raster-based individual tree segmentation for LiDAR data

pyeo

Python Earth Observation processing chain

pyeo_training_materials

A collection of training materials for Pyeo

rfia

rFIA libraries for querying FIA plot data

satellite-image-classification

A project to explore various satellite imagery classification techniques in remote sensing

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

sentinel-tree-cover

Image segmentations of trees outside forest

tree-allometry

This repo includes a rather huge set of tree allometric equations and code to process them

tree-classification-ml-model

Multi-label classification of various tree types

tree-detection-evo

Code repository for the paper Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks

treedetection

A color-based classifier to detect the trees in google image data along with tree visual localization and crown size calculations via OpenCV.

treemap2014_scripts

a national imputed dataset of Forest Inventory Analysis forest plots at 30x30m resolution in the US

TreeTool: A tool for detecting trees and estimating their DBH using forest point clouds. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001485

tree_detection

This package implements a simple tree detector from point cloud data. It makes no assumptions about the ground plane and can handle arbitrary terrains.

tree_detection-1

Python code for automatically writing geocoordiates of trees from a Canopy Height Model

unsupervised-classification-scan

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

wetland_id

scripts used to execute a wetland identification tool consisting of DEM preprocessing, calculation of terrain indices, supervised classification, and accuracy assessment

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