2010-2020年东北地区30 m分辨率主要作物种植面积数据集
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东北地区30 m精细作物分类的研究填补了东北地区作物分类的空白,被学界广泛引用。一方面,作物分类研究过程中红边波段的纳入能够显著地提升分类效果,为其它类似研究提供了高精度的样本数据集。另一方面,该数据集充分支撑了东北粮食—水和粮食—空气质量两个方面相互作用关系的综合分析,为实现东北地区粮食—水—空气质量安全多目标协同发展提供理论和数据支持。
This 30-meter spatial resolution fine-grained crop classification study in Northeast China has filled the gap in local crop classification research and has been widely cited in academic circles. On one hand, the incorporation of red-edge bands during crop classification can significantly enhance classification performance, providing high-precision sample datasets for other similar studies. On the other hand, this dataset fully supports the comprehensive analysis of the interactions between two key aspects: grain-water systems and grain-air quality in Northeast China, and provides both theoretical and data support for the coordinated multi-goal development of grain-water-air quality security in the region.




