🌲 Built on the experience of deadtrees.earth

High-quality forest data is out there.
Let's unlock its value together.

Most 3D forest data is scattered and unused. We make it visible, connected, and valuable — for science, AI, and sustainability.

Join our waitlist for early access
3D LiDAR forest scan with colorful tree annotations

A global archive for 3D forest data

3Dtrees.earth is a collaborative platform where data holders can upload, visualize, and share high-quality 3D forest data — and receive predictive insights in return.

Free data hosting and DOI assignment

Host your 3D scans with reliable storage, assign persistent identifiers, and ensure scientific citability.

Web-based visualization

Use an intuitive, browser-based viewer to explore your point clouds — no software installation needed.

Predictive insights

Receive model-based estimates of tree species, height, volume, crown shape and more.

Build the global forest reference

Your contribution helps build a high-quality, open dataset for AI model training and forest monitoring.

Get credit and visibility

Your data gets acknowledged and can be cited by others — increasing your impact.

Quality assurance

Our validation tools help ensure your data meets scientific standards and is ready for analysis.

Growing Data Collection

Explore our growing collection of 3D forest data from around the world. Each point represents a dataset contributed by researchers and organizations.

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3dTrees.earth is actively evolving. The datasets currently displayed are just a fraction of what we have already collected — and many more are on the way.

Roadmap

Our journey to build the most comprehensive 3D forest data platform

Upcoming

Phase 1

Base Application Features

World map with polygon for every dataset, upload form for LAS files with metadata, and basic visualization of point cloud renderings.

Phase 2

Publishing Features

DOI for datasets, author lists, and comprehensive dataset descriptions for proper scientific attribution.

Phase 3

Processing Features

Single tree instance segmentation, semantic segmentation (Ground/Leave/Wood), species classification, and inventory metrics.

Phase 4

Advanced Visualization

Interactive point cloud viewer and immersive walk-through visualization (XRFF) capabilities.

Phase 5

Labeling Tool & Custom AI Workflows

Smart labeling tools for point clouds, presets for species classification, and custom AI training capabilities.

Completed

Q2 2025

Launch of Public Landing Page

Created a central hub for the 3DTrees.earth initiative to make our vision public and begin building community awareness.

Join the 3Dtrees Community

Connect with researchers and contribute to the future of forest monitoring and conservation

Get in Contact

Have questions about contributing data or joining our research network? Our team is ready to help.

Dr. Julian Frey
(Lead Scientist - Uni Freiburg)
julian.frey@wwd.uni-freiburg.de
Dr. Benjamin Brede
(Lead Scientist - GFZ)
benjamin.brede@gfz.de
Janusch Vajna-Jehle
(Development)
janusch.jehle@geosense.uni-freiburg.de
Dr. Christian Scharinger
(XR Lead)
christian.scharinger@xrlab.uni-freiburg.de
Prof. Dr. Thomas Seifert
(Project Lead)
thomas.seifert@wwd.uni-freiburg.de
Prof. Dr. Teja Kattenborn
(Project Supervisor)
teja.kattenborn@geosense.uni-freiburg.de

Join the Waitlist

Be the first to know when we launch new features and get early access to the platform.

Who's Behind 3dTrees.earth?

We’re a team of forest scientists, data engineers, and conservationists with a shared vision: to turn isolated 3D scans into a powerful resource for global forest understanding.

Our Experience

Based on the experience of building deadtrees.earth (AI-driven forest health mapping), we've created a platform that addresses the unique challenges of 3D forest data management and analysis.

Our Mission

We're committed to creating an open, collaborative ecosystem for 3D forest data that accelerates scientific discovery, improves forest monitoring, and supports sustainable forest management worldwide.

Backed by respected partners

GeoSense logo
Chair of Forest Growth and Dendroecology logo
GFZ Helmholtz Centre for Geosciences logo
University of Freiburg logo

Frequently Asked Questions

Get answers to common questions about 3DTrees.earth

We accept drone-based or terrestrial LiDAR in .las/.laz format and point cloud tiles.

Only if you choose to publish it under CC-BY. You can also keep it private or share selectively.

Free predictions, increased visibility, citation through DOIs, and early access to future tools.

Researchers, forest managers, drone pilots, and anyone with high-quality 3D forest scans. If you have questions, please contact our team.