awesome-forests
github.com/blutjens/awesome-forests ↗🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.
377
GitHub Stars
61
Curated Resources
15
Categories
16 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 →