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DETERMINATION OF WINTER WHEAT PHENOLOGY IN BAVARIA –A CONTRIBUTION TO REGIONAL CROP HEALTH MONITORING FROM SPACE

机译：巴伐利亚冬小麦婴儿临床的贡献贡献空间区域作物健康监测的贡献

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The central topic of this study is the monitoring of winter wheat phenology and the detection of anthesis (flowering) using remotely sensed data as well as crop growth modeling. It is not possible to directly observe the flowering of wheat with optical satellite sensors. Thus, an approach that combines crop growth modeling with remote sensing data covering optical and microwave spectral ranges was developed. This was done in three steps: The hydro-agroecological land surface model PROMET was first run in a stand-alone version for selected sites distributed throughout Bavaria using only static input parameters (e.g. soil map) and current meteorological data as driving factors. Thus, multitemporal information from optical remote sensing data was assimilated into the model runs in a second step to improve the accuracy of the results. Finally, the use of radar data for anthesis detection in winter wheat was tested using Sentinel-1 data of 2015 in dual polarization mode (VV+VH).
机译：本研究的中心议题是使用远程感测数据以及作物生长建模的远程感测数据监测冬小麦候选和检测开花（开花）。不可能直接观察小麦的开花与光学卫星传感器。因此，开发了一种与遥感数据覆盖光学和微波谱范围的作物生长建模结合的方法。这是三个步骤完成的：水力发生生态地面型号PROMET首先使用仅使用静态输入参数（例如土壤图）和当前气象数据作为驱动因素的选定网站的独立版。因此，来自光学遥感数据的多模型信息在第二步中同化到模型中的运行，以提高结果的准确性。最后，在双极化模式（VV + VH）中，使用2015年的Sentinel-1数据测试在冬小麦中使用雷达数据进行过敏检测。

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