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Palmiye Yağı Plantasyonlarının Dünya Haritası
Veri kümesi, 2019 yılı için 10 milyon küresel endüstriyel ve küçük ölçekli palmiye yağı haritası. Bu harita, palmiye yağı plantasyonlarının tespit edildiği alanları kapsar. Sınıflandırılmış görüntüler, Sentinel-1 ve Sentinel-2 yarı yıllık kompozitlerine dayalı bir konvolusyonel nöral ağın çıktısıdır. Daha fazla bilgi için makaleyi inceleyin. tarım biyolojik çeşitlilik koruma ekin küresel arazi kullanımı -
Palm Probability modeli 2025a
Not: Bu veri kümesi henüz hakemli incelemeden geçmemiştir. Daha fazla bilgi için lütfen bu GitHub README dosyasını inceleyin. Bu resim koleksiyonu, temeldeki alanın ürünün bulunduğuna dair piksel başına tahmini olasılığı sağlar. Olasılık tahminleri 10 metrelik çözünürlükte sağlanır ve … tarafından oluşturulur. tarım biyolojik çeşitlilik koruma ekin 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"Palm Probability model 2024a" offers a 10m resolution, per-pixel probability of palm presence, but is not yet peer-reviewed and should be used with caution, referencing its GitHub README for details.\u003c/p\u003e\n"]]],[],null,["# Datasets tagged palm in Earth Engine\n\n-\n\n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) |"]]