International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.
KU Leuven, Department of Earth and Environmental Sciences, Leuven, Belgium.
Sci Data. 2021 Mar 30;8(1):96. doi: 10.1038/s41597-021-00867-1.
In recent decades, global oil palm production has shown an abrupt increase, with almost 90% produced in Southeast Asia alone. To understand trends in oil palm plantation expansion and for landscape-level planning, accurate maps are needed. Although different oil palm maps have been produced using remote sensing in the past, here we use Sentinel 1 imagery to generate an oil palm plantation map for Indonesia, Malaysia and Thailand for the year 2017. In addition to location, the age of the oil palm plantation is critical for calculating yields. Here we have used a Landsat time series approach to determine the year in which the oil palm plantations are first detected, at which point they are 2 to 3 years of age. From this, the approximate age of the oil palm plantation in 2017 can be derived.
近几十年来，全球油棕产量急剧增加，其中近 90%仅在东南亚生产。为了了解油棕种植园扩张的趋势和进行景观规划，需要精确的地图。虽然过去已经使用遥感技术生成了不同的油棕地图，但在这里，我们使用 Sentinel-1 图像生成了 2017 年印度尼西亚、马来西亚和泰国的油棕种植园地图。除了位置，油棕种植园的年龄对于计算产量至关重要。在这里，我们使用 Landsat 时间序列方法来确定首次检测到油棕种植园的年份，此时它们已经有 2 到 3 年的树龄。由此，可以推导出 2017 年油棕种植园的大致年龄。
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