[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["必要な情報がない","missingTheInformationINeed","thumb-down"],["複雑すぎる / 手順が多すぎる","tooComplicatedTooManySteps","thumb-down"],["最新ではない","outOfDate","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["サンプル / コードに問題がある","samplesCodeIssue","thumb-down"],["その他","otherDown","thumb-down"]],[],[[["\u003cp\u003eThis page features datasets with global coverage and 10-meter resolution on oil palm plantations, cocoa, palm, and rubber tree probability.\u003c/p\u003e\n"],["\u003cp\u003eThe oil palm plantation dataset provides a 2019 map of industrial and smallholder plantations, based on Sentinel-1 and Sentinel-2 imagery analysis.\u003c/p\u003e\n"],["\u003cp\u003eThe cocoa, palm, and rubber tree probability models offer per-pixel likelihood of these crops' presence but are not yet peer-reviewed, with users directed to the associated GitHub README for details.\u003c/p\u003e\n"],["\u003cp\u003eAll datasets are relevant for biodiversity, conservation, and land use analysis.\u003c/p\u003e\n"]]],["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models, also at 10m resolution, for cocoa, palm, and rubber trees respectively, all labeled as \"2024a\" and not peer-reviewed.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"],null,[]]
