awesome-forests
github.com/blutjens/awesome-forests ↗🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.
375
GitHub Stars
61
Curated Resources
15
Categories
5 hours ago
Last Refreshed
Tree species classificationTree detectionTree traits, damage, and health classificationNavigation in forestsBiodiversity floraAboveground carbon quantificationTree crown segmentationForest type and land cover classificationChange detection and deforestationWildfireWildlifeRaw geospatial imageryAwesome-awesomeExcluded data productsAttributions
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me tree crown segmentation resources from awesome-forests"
Installation instructions →What's inside
Tree crown segmentation
Raw geospatial imagery
Awesome-awesome
Change detection and deforestation
Attributions
Aboveground carbon quantification
- BAAD: a Biomass And Allometry Database for woody plants
- Carbon Stocks of Individual Trees in African Drylands: Allometry and Output Data
- Forest Canopy Height in Mexican Ecosystems
- FOS: The Forest Observation System, building a global reference dataset for remote sensing of forest biomass
- GlobAllomeTree: Assessing volume, biomass and carbon stocks of trees and forests
- GWDD: Global Wood Density Dataset
Showing a sample of 61 resources. View the full list on GitHub →