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Delineating the rice crop activities in Northeast China through regional parametric synthesis using satellite remote sensing time-series data from 2000 to 2015

机译:通过使用2000至2015年的卫星遥感时间序列数据,通过区域参数综合描绘东北地区的稻米作物活动

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摘要

Accurate rice area extraction and yield simulations are important for understanding how national agricultural policies and environmental issues affect regional spatial changes in rice farming. In this study, an improved regional parametric syntheses approach, that is, the rice zoning adaptability criteria and dynamic harvest index(RZAC-DHI), was established, which can effectively simulate the rice cultivation area and yield at the municipal level. The RZAC was used to extract the rice area using Moderate Resolution Imaging Spectroradiometer time-series data and phenological information. The DHI was calculated independently, and then yield was obtained based on the DHI and net primary productivity(NPP). Based on the above results, we analyzed the spatial–temporal patterns of the rice cultivation area and yield in Northeast China(NEC) during 2000–2015. The results revealed that the methods established in this study can effectively support the yearly mapping of the rice area and yield in NEC, the average precisions of which exceed 90 and 80%, respectively. The rice planting areas are mainly located on the Sanjiang, Songnen and Liaohe plains, China, which are distributed along the Songhua and Liaohe rivers. The rice cultivation area and yield in this region increased significantly from 2000 to 2015, with increases of nearly 58 and 90%, respectively. The rice crop area and yield increased the fastest in Heilongjiang Province, China, whereas small changes occurred in Jilin and Liaoning provinces, China. Their gravity centers exhibited evident northward and eastward shifts, with offset distances of 107 and 358 km, respectively. Moreover, Heilongjiang Province has gradually become the new main rice production region. The methodologies used in this study provide a valuable reference for other related studies, and the spatial-temporal variation characteristics of the rice activities have raised new attention as to how these shifts affect national food security and resource allocation.
机译:准确的大米区域提取和产量模拟对于了解国家农业政策和环境问题如何影响水稻农业区域空间变化的重要性。在这项研究中,建立了改进的区域参数合成方法,即稻区分区适应性标准和动态收获指数(RZAC-DHI),其可以有效地模拟水稻栽培区和市政层面的产量。 RZAC用于使用中等分辨率成像光谱辐射计时间序列数据和鉴别信息来提取稻米面积。独立计算DHI,然后基于DHI和净初级生产率(NPP)获得产量。基于上述结果,2000 - 2015年,我们分析了大米栽培区的空间模式和东北地区的产量(NEC)。结果表明,本研究中建立的方法可以有效地支持水稻面积的年度绘图和NEC的产量,分别超过90%和80%。水稻种植区主要位于中国三江,松嫩和辽河平原,沿着松花和辽河河分发。 2000至2015年该地区的水稻栽培区和产量显着增加,分别增加了近58%和90%。中国黑龙江省的稻米作物区和产量增加,吉林和辽宁省发生的小变化发生。他们的重力中心呈现出明显的向北和向东转移,分别偏移距离107和358公里。此外,黑龙江省逐渐成为新的大米生产区。本研究中使用的方法为其他相关研究提供了有价值的参考,水稻活动的空间变化特性提高了这些转变如何影响国家粮食安全和资源配置的新关注。

著录项

  • 来源
    《农业科学学报:英文版》 |2021年第002期|P.424-437|共14页
  • 作者单位

    Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing 100094 P.R.ChinaUniversity of Chinese Academy of Sciences Beijing 100094 P.R.China;

    Agricultural Information Institute Chinese Academ y of Agricultural Sciences Beijing 100081 P.R.China;

    Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing 100094 P.R.ChinaUniversity of Chinese Academy of Sciences Beijing 100094 P.R.China;

    Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing 100094 P.R.ChinaUniversity of Chinese Academy of Sciences Beijing 100094 P.R.China;

    School of Surveying and Land Information Engineering Henan Polytechnic University Jiaozuo 454000 P.R.China;

    School of Surveying and Land Information Engineering Henan Polytechnic University Jiaozuo 454000 P.R.China;

    Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing 100094 P.R.ChinaUniversity of Chinese Academy of Sciences Beijing 100094 P.R.China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 中国工业经济;
  • 关键词

    RZAC; dynamic HI; rice cultivation area; yield; spatial-temporal change;

    机译:RZAC;动态HI;水稻栽培区;产量;空间变化;
  • 入库时间 2022-08-19 04:55:50
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