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 …
Note: This dataset is not yet peer-reviewed. Please see the GitHub README associated with this model for more information. This image collection provides per-pixel probability that the underlying area is occupied by palm. The probability estimates are provided at 10 meter resolution, and have been …
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[[["The \"Global Map of Oil Palm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data."],["The \"Palm Probability model 2024a\" offers a 10m resolution, per-pixel probability of palm presence, but is not yet peer-reviewed and should be used with caution, referencing its GitHub README for details."]]],[]]
