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  | [### WRI/Google DeepMind Global Drivers of Forest Loss 2001-2022 v1.0 ![](https://developers.google.com/earth-engine/datasets/images/landandcarbon/projects_landandcarbon_assets_wri_gdm_drivers_forest_loss_1km_v1_2001_2022_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_landandcarbon_assets_wri_gdm_drivers_forest_loss_1km_v1_2001_2022) |
  | This dataset maps the dominant driver of tree cover loss from 2001-2022 globally at 1 km resolution. Produced by the World Resources Institute (WRI) and Google DeepMind, the data were developed using a global neural network model (ResNet) trained on a set of samples collected ... |
  | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation) [forest](https://developers.google.com/earth-engine/datasets/tags/forest) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass) [google](https://developers.google.com/earth-engine/datasets/tags/google) [landandcarbon](https://developers.google.com/earth-engine/datasets/tags/landandcarbon) |

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  | [### WRI/Google DeepMind Global Drivers of Forest Loss 2001-2023 v1.1 ![](https://developers.google.com/earth-engine/datasets/images/landandcarbon/projects_landandcarbon_assets_wri_gdm_drivers_forest_loss_1km_v1_1_2001_2023_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_landandcarbon_assets_wri_gdm_drivers_forest_loss_1km_v1_1_2001_2023) |
  | This dataset maps the dominant driver of tree cover loss from 2001-2023 globally at 1 km resolution. Produced by the World Resources Institute (WRI) and Google DeepMind, the data were developed using a global neural network model (ResNet) trained on a set of samples collected ... |
  | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation) [forest](https://developers.google.com/earth-engine/datasets/tags/forest) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass) [google](https://developers.google.com/earth-engine/datasets/tags/google) [landandcarbon](https://developers.google.com/earth-engine/datasets/tags/landandcarbon) |

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  | [### WRI/Google DeepMind Global Drivers of Forest Loss 2001-2024 v1.2 ![](https://developers.google.com/earth-engine/datasets/images/landandcarbon/projects_landandcarbon_assets_wri_gdm_drivers_forest_loss_1km_v1_2_2001_2024_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_landandcarbon_assets_wri_gdm_drivers_forest_loss_1km_v1_2_2001_2024) |
  | This dataset maps the dominant driver of tree cover loss from 2001-2024 globally at 1 km resolution. Produced by the World Resources Institute (WRI) and Google DeepMind, the data were developed using a global neural network model (ResNet) trained on a set of samples collected ... |
  | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation) [forest](https://developers.google.com/earth-engine/datasets/tags/forest) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass) [google](https://developers.google.com/earth-engine/datasets/tags/google) [landandcarbon](https://developers.google.com/earth-engine/datasets/tags/landandcarbon) |

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  | [### WRI/Google DeepMind Global Drivers of Forest Loss 2001-2025 v1.3 ![](https://developers.google.com/earth-engine/datasets/images/landandcarbon/projects_landandcarbon_assets_wri_gdm_drivers_forest_loss_1km_v1_3_2001_2025_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_landandcarbon_assets_wri_gdm_drivers_forest_loss_1km_v1_3_2001_2025) |
  | This dataset maps the dominant driver of tree cover loss from 2001-2025 globally at 1 km resolution. Produced by the World Resources Institute (WRI) and Google DeepMind, the data were developed using a global neural network model (ResNet) trained on a set of samples collected ... |
  | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation) [forest](https://developers.google.com/earth-engine/datasets/tags/forest) [forest-biomass](https://developers.google.com/earth-engine/datasets/tags/forest-biomass) [google](https://developers.google.com/earth-engine/datasets/tags/google) [landandcarbon](https://developers.google.com/earth-engine/datasets/tags/landandcarbon) |