> [!CAUTION]
> **Caution:** This dataset has been superseded by [projects/forestdatapartnership/assets/cocoa/model_2026a](https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_cocoa_model_2026a).

![projects/forestdatapartnership/assets/cocoa/model_2025a](https://developers.google.com/earth-engine/datasets/images/forestdatapartnership/projects_forestdatapartnership_assets_cocoa_model_2025a_sample.png) info


This dataset is part of a Publisher Catalog, and not managed by Google Earth Engine.

Contact forestdatapartnership@googlegroups.com

for bugs or [view more datasets](https://developers.google.com/earth-engine/datasets/publisher/forestdatapartnership)
from the Forest Data Partnership Catalog. [Learn more about Publisher datasets](https://developers.google.com/earth-engine/datasets/publisher).
[![Catalog Owner Logo](https://developers.google.com/static/earth-engine/datasets/logos/forestdatapartnership_logo.png)](https://forestdatapartnership.org)

Catalog Owner
:   Forest Data Partnership

Dataset Availability
:   2020-01-01T00:00:00Z--2023-12-31T23:59:59Z

Dataset Producer
:


    [Produced by Google for the Forest Data Partnership](https://www.forestdatapartnership.org/)

Tags
:
    agriculture biodiversity cocoa conservation crop eudr forestdatapartnership landuse plantation publisher-dataset

#### Description

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 a machine
learning model. For details, see the technical documentation on the
[Forest Data Partnership repo](https://github.com/google/forest-data-partnership/tree/main)
on Github.

The primary purpose of this image collection is to support the mission of
the [Forest Data Partnership](https://www.forestdatapartnership.org/) which
aims to halt and reverse forest loss from commodity production by
collaboratively improving global monitoring, supply chain tracking, and
restoration.

This dataset currently covers the following countries: Côte d'Ivoire, Ghana,
Indonesia, Ecuador, Peru, Colombia.

This community data product is meant to evolve over time, as more data
becomes available from the community and the model used to produce the maps
continuously improves. If you would like to provide general feedback or
additional datasets to improve these layers, please reach out through
[this form](https://goo.gle/fdap-data).

Limitations: Model output is limited to selected countries as calendar year
composites for 2020 and 2023. Not all regions of the output are well
represented by training data. Accuracy is reported in aggregate, and will
vary geographically and with user chosen thresholds. Sensor artifacts based
on data availability, cross-track nonuniformity, or cloudiness may be
visually apparent in output probabilities and result in classification
errors at some thresholds.

Please see this
[GitHub README](https://github.com/google/forest-data-partnership/tree/main/models/model_2025a)
for more information.

**Note that this dataset has separate terms of use for commercial users of
Earth Engine. Please see "Terms of Use" tab for details.**

The difference between the 2025a and 2025b versions is that the 2025b version is based on AlphaEarth Foundations Satellite Embeddings, which enables expanded geographic and temporal coverage over 2025a. Additionally, 2025b includes additional input data and an evolved input data processing pipeline. Note that the 2025a model may perform better in some contexts.

### Bands

**Bands**

Pixel size: 10 meters (all bands)

| Name | Min | Max | Pixel Size | Description |
|---|---|---|---|---|
| `probability` | 0 | 1 | 10 meters | Probability that the pixel includes cocoa trees for the given year. |

### Terms of Use

**Terms of Use**

For non-commercial users of Earth Engine, use of the dataset is subject to
CC-BY 4.0 NC license and requires the following attribution:
"Produced by Google for the Forest Data Partnership".

Commercial use of the dataset is subject to the
[Forest Data Partnership Datasets Commercial Terms of Use](https://services.google.com/fh/files/misc/forest_data_partnership_datasets_commerical_terms_of_use.pdf).

Contains modified Copernicus Sentinel data \[2015-present\]. See the
[Sentinel Data Legal Notice](https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice).

### Citations

Citations:

- Forest Data Partnership. 2025. Community models 2025a. [Online](https://github.com/google/forest-data-partnership/tree/main/models/model_2025a/README.md)

### Explore with Earth Engine

> [!NOTE]
> **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)

### Code Editor (JavaScript)

```javascript
Map.setCenter(-7.67, 6.71, 11);

var collection = ee.ImageCollection(
  'projects/forestdatapartnership/assets/cocoa/model_2025a');

var cocoa2020 = collection.filterDate('2020-01-01', '2020-12-31').mosaic();
Map.addLayer(
  cocoa2020.selfMask(), {min: 0.5, max: 1, palette: 'white,blue'}, 'cocoa 2020');

var cocoa2023 = collection.filterDate('2023-01-01', '2023-12-31').mosaic();
Map.addLayer(
  cocoa2023.selfMask(), {min: 0.5, max: 1, palette: 'white,green'}, 'cocoa 2023');
```
[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/forestdatapartnership/projects_forestdatapartnership_assets_cocoa_model_2025a) [Cocoa Probability model 2025a \[deprecated\]](https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_cocoa_model_2025a) 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 a machine learning model. For details, see the technical documentation on the Forest Data Partnership repo on Github. The primary ... projects/forestdatapartnership/assets/cocoa/model_2025a, agriculture,biodiversity,conservation,crop,eudr,forestdatapartnership,landuse,plantation,publisher-dataset 2020-01-01T00:00:00Z/2023-12-31T23:59:59Z -90 -180 90 180 Google Earth Engine https://developers.google.com/earth-engine/datasets

- [](https://doi.org/https://www.forestdatapartnership.org/)
- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_cocoa_model_2025a)