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Multi-Temporal Detection of Rice Phenological Stages Using Canopy Spectrum

机译:基于冠层光谱的水稻物候阶段的多时间检测

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摘要

Information on rice phenology is essential for yield estimation and crop management. To test the ability of remote sensing in detecting multiple phenological stages, paddy rice canopy spectrum was measured by a hand-held radiometer. Normalized difference vegetation index (NDVI) was calculated from spectrum, and the slope of NDVI was obtained as its difference. We evaluated the response of NDVI and its slope to rice growth with a comparison of two late-season rice cultivars. The results showed that NDVI and its slope curves had distinct variation corresponding to rice development and they could be used as cultivar-independent phenological indicators. The dates of flooding and transplanting, tillering, panicle development, heading and flowering, maturity, harvest stages, and even field management practices, could be deduced from these indicators. ‘NDVI ≤ 0’ could be used as a single threshold for the detection of flooding and transplanting. The largest spike in the curve of the NDVI slope indicated the duration of tillering stage. The next spike corresponded to panicle development. The heading and flowering stage was characterized by the maximum NDVI and the change of NDVI slope from positive to negative. At the maturity stage, NDVI decreased continuously, and its slope fluctuated just below zero. When rice grains were completely mature and ready for harvest, NDVI decline was accelerated. At harvest, NDVI slope reached its minimum value. The distinction between heading and maturity stages was obscure, most likely due to NDVI saturation at high biomass. The study might provide references for paddy rice phenology determination through remote sensing images.
机译:有关水稻物候的信息对于产量估算和作物管理至关重要。为了测试遥感检测多个物候阶段的能力,用手持辐射计测量了水稻冠层光谱。由光谱计算归一化植被指数(NDVI),求出NDVI的斜率。通过比较两个晚稻品种,我们评估了NDVI及其斜率对水稻生长的响应。结果表明,NDVI及其斜率曲线与水稻发育有明显的差异,可作为不依赖于品种的物候指标。可以从这些指标中推断出洪水和移栽,分till,穗发育,抽穗和开花,成熟,收获阶段甚至田间管理实践的日期。 “ NDVI≤0”可用作检测洪水和移栽的单个阈值。 NDVI斜率曲线中最大的尖峰表示分er期的持续时间。下一个峰值对应于穗发育。抽穗期和开花期的特征是最大NDVI和NDVI斜率从正变负。在成熟阶段,NDVI持续下降,其斜率波动在零以下。当稻米完全成熟并准备好收获时,NDVI的下降加速了。收获时,NDVI斜率达到最小值。抽穗期和成熟期之间的区别不明显,很可能是由于高生物量下的NDVI饱和所致。该研究可为通过遥感影像确定水稻物候提供参考。

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  • 来源
    《水稻科学(英文版)》 |2014年第2期|108-115|共8页
  • 作者单位

    Jiangsu Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science&Technology, Nanjing 210044, China;

    Jiangsu Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science&Technology, Nanjing 210044, China;

    Jiangsu Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science&Technology, Nanjing 210044, China;

    Jiangsu Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science&Technology, Nanjing 210044, China;

    Jiangsu Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science&Technology, Nanjing 210044, China;

    Jiangsu Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science&Technology, Nanjing 210044, China;

  • 收录信息 中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
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