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中国水利水电科学研究院学报（中英文）
中国水利水电科学研究院
中国水利水电科学研究院学报（中英文）

中国水利水电科学研究院

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2097-096X

journal@iwhr.com

010-68711905

100038

北京复兴路甲1号

中国水利水电科学研究院学报（中英文）/Journal Journal of China Institute of Water Resources and Hydropower Research北大核心CSTPCD
查看更多>>本刊主要刊登我院科研人员在水利水电宏观决策研究、应用基础研究及工程应用方面的科技论文、专题综述和工程技术总结等,开展学术讨论,介绍国内外科技动态。办刊方针和任务:介绍我院科研成果、动向,增进学术交流,加速成果转化。读者对象为国内外从事水利水电工程科研、规划、设计、建设、咨询、管理等工作的专业技术人员及高等院校相关专业的师生。
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    Spectral matching based remote sensing identification of two main crop rotation patterns in a large irrigation district

    DUAN YuanyuanCHEN XiuhuaLIU JunYE Mao...
    640-650页
    查看更多>>摘要：The rapid identification of planting patterns for major crops in a large irrigated district has vital importance for irri-gation management,water fee collection,and crop yield estimation.In this study,the OTSU algorithm and Mean-Shift algo-rithm were employed to automatically determine threshold values for mapping two main rotated crop patterns at the pixel scale.A time series analysis was conducted to extract the spatial distribution of rice-wheat and wheat-maize rotations in the Chuan-hang irrigation district from 2016 to 2020.The results demonstrate that both threshold segmentation algorithms are reliable in extracting the spatial distribution of the crops,with an overall accuracy exceeding 80％.Additionally,both Kappa coefficients surpass 0.7,indicating better performance by OTSU method.Over the period from 2016 to 2020,the area occupied by rice-wheat rotation cropping ranged from 12500 to 14400 hm2;whereas wheat-maize rotation cropping exhibited smaller and more variable areas ranging from 19730 to 34070 hm2.These findings highlight how remote sensing-based approaches can provide reliable support for rapidly and accurately identifying the spatial distribution of main crop rotation patterns within a large irri-gation district.
      原文链接:
    • 万方数据
    • 维普

    中国水利水电科学研究院学报(中英文)2024年 第22卷 总目录

    651-654页
      原文链接:
    • 万方数据