[[["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 collection of datasets focuses on biodiversity, conservation, and land use, offering insights into various ecosystems and agricultural practices.\u003c/p\u003e\n"],["\u003cp\u003eIt includes global maps of oil palm plantations and terrestrial ecoregions, along with probability models for cocoa, palm, and rubber tree distributions.\u003c/p\u003e\n"],["\u003cp\u003eSeveral datasets provide high-resolution (10m) data, enabling detailed analysis of land cover and potential environmental impacts.\u003c/p\u003e\n"],["\u003cp\u003eSome datasets, particularly those related to cocoa, palm, and rubber tree probabilities, are pre-review and should be interpreted with caution.\u003c/p\u003e\n"],["\u003cp\u003eThe Forest Persistence dataset helps identify undisturbed forest areas, contributing to deforestation monitoring efforts.\u003c/p\u003e\n"]]],["The datasets include a 2019 global map of industrial and smallholder oil palm plantations derived from Sentinel-1 and Sentinel-2 data, and a 2017 depiction of 846 terrestrial ecoregions. Additionally, there are per-pixel probability models at 10-meter resolution for cocoa, palm, and rubber tree occupancy, as well as a 2020 per-pixel score indicating undisturbed forest areas. Each model is associated with GitHub README for additional information.\n"],null,[]]
