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Satellite based estimates of gross primary productivity (GPP) — the rate at which plants absorb carbon dioxide from the atmosphere through photosynthesis to produce the energy they need to grow. Uncalibrated bimonthly GPP values can be customized with regional or biome specific light use efficiency factors.

Satellite based estimates of gross primary productivity (GPP) — the rate at which plants absorb carbon dioxide from the atmosphere through photosynthesis to produce the energy they need to grow. Uncalibrated annual GPP values can be customized with regional or biome specific light use efficiency factors.

Global map of the dominant driver of tree cover loss at 0.01° resolution (~1km) for the period 2001-2024. This is the latest update for this dataset.

Natural Lands as defined for the Science Based Targets Network (SBTN) target on "no conversion of natural ecosystems."

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.

Global maps of grassland class created from satellite imagery with 30-meter spatial resolution and annual temporal resolution.

Reference samples and training data for grassland classification.

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.

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.