Abstract. Sugarcane is an important source of food, biofuel, and farmer income in many countries. At the same time, sugarcane is implicated in many social and environmental challenges, including water scarcity and nutrient pollution. Currently, few of the top sugar-producing countries generate reliable maps of where sugarcane is cultivated. To fill this gap, we introduce a dataset of detailed sugarcane maps for the top 13 producing countries in the world, comprising nearly 90 % of global production. Maps were generated for the 2019–2022 period by combining data from the Global Ecosystem Dynamics Investigation (GEDI) and Sentinel-2 (S2). GEDI data were used to provide training data on where tall and short crops were growing each month, while S2 features were used to map tall crops for all cropland pixels each month. Sugarcane was then identified by leveraging the fact that sugar is typically the only tall crop growing for a substantial fraction of time during the study period. Comparisons with field data, pre-existing maps, and official government statistics all indicated high precision and recall of our maps. Agreement with field data at the pixel level exceeded 80 % in most countries, and sub-national sugarcane areas from our maps were consistent with government statistics. Exceptions appeared mainly due to problems in underlying cropland masks, or to under-reporting of sugarcane area by governments. The final maps should be useful in studying the various impacts of sugarcane cultivation and producing maps of related outcomes such as sugarcane yields.

中文翻译：

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使用 GEDI 和 Sentinel-2 以 10 m 分辨率绘制全球甘蔗地图

摘要。甘蔗是许多国家食品、生物燃料和农民收入的重要来源。与此同时，甘蔗还涉及许多社会和环境挑战，包括水资源短缺和营养物污染。目前，很少有顶级产糖国能够绘制可靠的甘蔗种植地地图。为了填补这一空白，我们引入了世界前 13 个生产国的详细甘蔗地图数据集，这些国家的产量占全球产量的近 90%。通过结合全球生态系统动力学调查 (GEDI) 和 Sentinel-2 (S2) 的数据，生成了 2019-2022 年期间的地图。 GEDI 数据用于提供有关每月高作物和矮作物生长位置的训练数据，而 S2 特征用于每月绘制所有农田像素的高作物地图。然后，通过利用以下事实来识别甘蔗：糖通常是研究期间大部分时间内生长的唯一高大作物。与现场数据、现有地图和政府官方统计数据的比较都表明我们的地图具有很高的精确度和召回率。在大多数国家，像素级现场数据的一致性超过 80%，我们地图中的次国家甘蔗面积与政府统计数据一致。出现例外的主要原因是农田掩膜存在问题，或者政府少报甘蔗面积。最终的地图应有助于研究甘蔗种植的各种影响并制作甘蔗产量等相关结果的地图。