AI-generated Key Takeaways
-
The datasets provide information on global forest cover, including forest presence, absence, and types, at 10m resolution for the year 2020.
-
There are probability models for cocoa, palm, and rubber tree occupation, offering per-pixel likelihood estimates at 10m resolution.
-
A Forest Persistence dataset provides scores indicating undisturbed forest areas in 2020, aiding in deforestation analysis.
-
Many of the datasets are associated with the Forest Data Partnership and some are pre-review, requiring caution in interpretation and application.
-
Datasets support various applications like biodiversity conservation, land use planning, and compliance with EU deforestation regulations.
-
Cocoa Probability model 2025a
Note: This dataset is not yet peer-reviewed. Please see this GitHub README for more information. This image collection provides estimated per-pixel probability that the underlying area is occupied by the commodity. The probability estimates are provided at 10 meter resolution, and have been generated by … agriculture biodiversity conservation crop eudr forestdatapartnership -
Coffee Probability model 2025a
Note: This dataset is not yet peer-reviewed. Please see this GitHub README for more information. This image collection provides estimated per-pixel probability that the underlying area is occupied by the commodity. The probability estimates are provided at 10 meter resolution, and have been generated by … agriculture biodiversity conservation crop eudr forestdatapartnership -
EC JRC global map of forest cover 2020, V2
The global map of forest cover provides a spatially explicit representation of forest presence and absence for the year 2020 at 10m spatial resolution. The year 2020 corresponds to the cut-off date of the Regulation from the European Union "on the making available on the … eudr forest forest-biomass jrc -
Forest Persistence v0
Note: This dataset is not yet peer-reviewed. Please see the GitHub README associated with this model for more information. This image provides a per-pixel score (in [0, 1]) that indicates whether the pixel area is occupied by undisturbed forest in year 2020. These scores are … biodiversity conservation deforestation eudr forest-biomass forestdatapartnership -
Global map of forest types 2020
The global map of forest types provides a spatially explicit representation of primary forest, naturally regenerating forest and planted forest (including plantation forest) for the year 2020 at 10m spatial resolution. The base layer for mapping these forest types is the extent of forest cover … eudr forest forest-biomass jrc landcover primary-forest -
Natural Forests of the World 2020
Natural Forests of the World 2020, provides a global map of natural forest probability for the year 2020 at a 10-meter resolution. It was developed to support initiatives like the European Union's Deforestation Regulation (EUDR) and other efforts for forest conservation and monitoring. The map … biodiversity climate conservation deforestation eudr forest -
Palm Probability model 2025a
Note: This dataset is not yet peer-reviewed. Please see this GitHub README for more information. This image collection provides estimated per-pixel probability that the underlying area is occupied by the commodity. The probability estimates are provided at 10 meter resolution, and have been generated by … agriculture biodiversity conservation crop eudr forestdatapartnership -
Rubber Tree Probability model 2025a
Note: This dataset is not yet peer-reviewed. Please see this GitHub README for more information. This image collection provides estimated per-pixel probability that the underlying area is occupied by the commodity. The probability estimates are provided at 10 meter resolution, and have been generated by … agriculture biodiversity conservation crop eudr forestdatapartnership