-
Carte mondiale des plantations de palmiers à huile
Il s'agit d'une carte mondiale de 10 millions de pixels représentant les plantations d'huile de palme industrielles et de petits exploitants pour l'année 2019. Il couvre les zones où des plantations d'huile de palme ont été détectées. Les images classées sont le résultat d'un réseau de neurones convolutifs basé sur des composites semestriels de Sentinel-1 et Sentinel-2. Pour en savoir plus, consultez l'article … agriculture biodiversité conservation culture mondiale utilisation des sols -
Modèle de probabilité Palm 2025a
Remarque: Cet ensemble de données n'a pas encore été évalué par des pairs. Pour en savoir plus, consultez le fichier README GitHub. Cette collection d'images fournit une estimation de la probabilité par pixel que la zone sous-jacente soit occupée par la marchandise. Les estimations de probabilité sont fournies avec une résolution de 10 mètres et ont été générées par… agriculture biodiversité conservation culture eudr forestdatapartnership
Datasets tagged palm in Earth Engine
[null,null,[],[[["\u003cp\u003eThe "Global Map of Oil Palm Plantations" dataset provides a 10m resolution global map highlighting industrial and smallholder oil palm plantations for 2019, based on Sentinel-1 and Sentinel-2 data.\u003c/p\u003e\n"],["\u003cp\u003eThe "Palm Probability model 2024a" offers a 10m resolution, per-pixel probability of palm presence, but is not yet peer-reviewed and should be used with caution, referencing its GitHub README for details.\u003c/p\u003e\n"]]],[],null,["# Datasets tagged palm in Earth Engine\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Global Map of Oil Palm Plantations](/earth-engine/datasets/catalog/BIOPAMA_GlobalOilPalm_v1) |\n | The dataset is a 10m global industrial and smallholder oil palm map for 2019. It covers areas where oil palm plantations were detected. The classified images are the output of a convolutional neural network based on Sentinel-1 and Sentinel-2 half-year composites. See article for additional ... |\n | [agriculture](/earth-engine/datasets/tags/agriculture) [biodiversity](/earth-engine/datasets/tags/biodiversity) [conservation](/earth-engine/datasets/tags/conservation) [crop](/earth-engine/datasets/tags/crop) [global](/earth-engine/datasets/tags/global) [landuse](/earth-engine/datasets/tags/landuse) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Palm Probability model 2025a](/earth-engine/datasets/catalog/projects_forestdatapartnership_assets_palm_model_2025a) |\n | 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 ... |\n | [agriculture](/earth-engine/datasets/tags/agriculture) [biodiversity](/earth-engine/datasets/tags/biodiversity) [conservation](/earth-engine/datasets/tags/conservation) [crop](/earth-engine/datasets/tags/crop) [eudr](/earth-engine/datasets/tags/eudr) [forestdatapartnership](/earth-engine/datasets/tags/forestdatapartnership) |"]]