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转自: 生态环境遥感监测Lab 美国俄克拉荷马大学微生物学与植物生物学研究团队在Remote Sensing of Environment 期刊上发表的《Mapping sugarcane plantation dynamics in Guangxi,China,by time seriesSentinel-1,Sentinel-2 and Landsat images》。本研究通过融合 Sentinel-1、Sentinel-2 和 Landsat 数据,结合 NDVI 和动态 LSWI 阈值的时间序列物候分析,实现了广西甘蔗种植区域的精准监测与生长阶段识别,为农业管理提供了高精度的动态监测与面积估算支持。 论文信息 题目: Mapping sugarcane plantation dynamics in Guangxi,China,by time seriesSentinel-1,Sentinel-2 and Landsat images 关键词: Agriculture;Cropmapping;Land cover;Phenology;Vegetation indices;Remote sensing 作者: Jie Wang,Xiangming Xiao,Luo Liu,Xiaocui Wu,Yuanwei Qin,Jean L.Steiner,Jinwei Dong DOI: 10.1016/j.rse.2020.111951 论文摘要 Sugarcane is a major crop for sugar and ethanol production and its area has increase
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