[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["缺少我需要的資訊","missingTheInformationINeed","thumb-down"],["過於複雜/步驟過多","tooComplicatedTooManySteps","thumb-down"],["過時","outOfDate","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["示例/程式碼問題","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],[],[],["Two datasets provide information on global oil palm plantations. The first is a 10m map of industrial and smallholder oil palm areas for 2019, derived from a convolutional neural network using Sentinel-1 and Sentinel-2 data. The second dataset offers per-pixel probability estimates of oil palm cultivation at 10m resolution. This is generated via a machine learning model trained with community-contributed examples, offering detailed insight into oil palm cultivation distribution. Both maps can help with biodiversity and conservation.\n"]]
