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Dynamic variability of the heading-flowering stages of single rice in China based on field observations and NDVI estimations

机译:基于田间观测和NDVI估算的中国水稻单株抽穗开花期的动态变化

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Although many studies have indicated the consistent impact of warming on the natural ecosystem (e.g., an early flowering and prolonged growing period), our knowledge of the impacts on agricultural systems is still poorly understood. In this study, spatiotemporal variability of the heading-flowering stages of single rice was detected and compared at three different scales using field-based methods (FBMs) and satellite-based methods (SBMs). The heading-flowering stages from 2000 to 2009 with a spatial resolution of 1 km were extracted from the SPOT/VGT NDVI time series data using the Savizky-Golay filtering method in the areas in China dominated by single rice of Northeast China (NE), the middle-lower Yangtze River Valley (YZ), the Sichuan Basin (SC), and the Yunnan-Guizhou Plateau (YG). We found that approximately 52.6 and 76.3% of the estimated heading-flowering stages by a SBM were within +/- 5 and +/- 10 days estimation error (a root mean square error (RMSE) of 8.76 days) when compared with those determined by a FBM. Both the FBM data and the SBM data had indicated a similar spatial pattern, with the earliest annual average heading-flowering stages in SC, followed by YG, NE, and YZ, which were inconsistent with the patterns reported in natural ecosystems. Moreover, diverse temporal trends were also detected in the four regions due to different climate conditions and agronomic factors such as cultivar shifts. Nevertheless, there were no significant differences (p>0.05) between the FBM and the SBM in both the regional average value of the phenological stages and the trends, implying the consistency and rationality of the SBM at three scales.
机译:尽管许多研究表明变暖对自然生态系统具有持续的影响(例如早开花和长生长期),但我们对农业系统影响的认识仍然知之甚少。在这项研究中,使用基于实地的方法(FBMs)和基于卫星的方法(SBMs)检测并比较了三个水稻在抽穗开花阶段的时空变异性。利用Savizky-Golay滤波方法从SPOT / VGT NDVI时间序列数据中提取了2000年至2009年抽穗开花阶段,其空间分辨率为1 km,该区域位于中国东北(NE)单稻为主的地区,长江中下游地区(YZ),四川盆地(SC)和云贵高原(YG)。我们发现,与所确定的估计值相比,SBM估计的抽穗开花期估计约有52.6%和76.3%的估计误差在+/- 5和+/- 10天之内(均方根误差(RMSE)为8.76天)由FBM。 FBM数据和SBM数据都显示出相似的空间格局,南卡罗来纳州最早的年平均抽穗开花阶段,其次是YG,NE和YZ,这与自然生态系统中报告的格局不一致。此外,由于气候条件和农艺因素(例如品种变化)的不同,在四个地区还发现了不同的时间趋势。然而,在物候阶段的区域平均值和趋势上,FBM和SBM之间没有显着差异(p> 0.05),这暗示了SBM在三个尺度上的一致性和合理性。

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