Subtopics (1)
SBTN Natural Lands Map
Natural Lands as defined for the Science Based Targets Network (SBTN) target on "no conversion of natural ecosystems."
High Resolution Canopy Height Map
Global sub-meter canopy height maps from a machine learning model trained on aerial LiDAR and RGB imagery and applied to very high resolution satellite imagery.
Annual 30-m maps of global grassland class and extent (2000–2022)
Global maps of grassland class created from satellite imagery with 30-meter spatial resolution and annual temporal resolution.
Supplementary Material for "Annual 30-m maps of global grassland class and extent (2000–2022) based on spatiotemporal Machine Learning"
Reference samples and training data for grassland classification.
Tropical Tree Cover
This layer displays tree extent at the ten-meter scale and tree cover at the half hectare scale to enable accurate monitoring of trees in urban areas, agricultural lands, and in open canopy and dry forest ecosystems.
Dynamic World
Near-real-time (NRT) land use/land cover (LULC) dataset at 10 meter resolution that includes nine classes, pixel-level class probabilities, and labeling information.