awesome-forests
by blutjens
🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.
AI summary
Forest datasets
A curated collection of forest datasets for machine learning and forestry research.
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What's in the list
6 links in 5 sections, with live GitHub stats.activeno commit in 2y
Tree damage and health classification
- Forest Damages – Larch Casebearer
A tree damage classification dataset from 5 areas in Sweden with 1.5k images with >100k labeled trees with airborne RGB
Navigation in forests
FinnWoodlands Dataset
A dataset for autonomous nagivation inside forests with ~5K RGB stereo images, point clouds, and sparse depth maps, as well as 300 annotated frames for semantic, instance, or panoptic segmentation of tree trunks, paths, and more
Aboveground carbon quantification
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery
An ML-processed dataset from six reforestation sites in Ecuador for estimating aboveground biomass with RGB drone imagery and individual tree location, bounding box, DBH, species, and biomass. Heavily biased towards banana
- Forest Canopy Height in Mexican Ecosystems
A forest height quantification dataset from Mexico with lidar-derived canopy height values, Landsat-derived vegetation indices, and 1105 aerial images
Wildfire
Attributions
Awesome satellite imagery datasets
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Featured in 2 awesome lists
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