[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["没有我需要的信息","missingTheInformationINeed","thumb-down"],["太复杂/步骤太多","tooComplicatedTooManySteps","thumb-down"],["内容需要更新","outOfDate","thumb-down"],["翻译问题","translationIssue","thumb-down"],["示例/代码问题","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],[],[],["The information describes four datasets related to agricultural land use. The first is a 2019 global map of oil palm plantations at 10m resolution, created using a neural network on satellite imagery. The other three are per-pixel probability models, also at 10m resolution, for cocoa, palm, and rubber trees respectively, all labeled as \"2024a\" and not peer-reviewed. These models estimate the probability of each area being occupied by these specific crops. All datasets are tagged with biodiversity, conservation, crop, and landuse.\n"]]
