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Application of nanosatellites PlanetScope data to monitor crop growth

机译:纳米替卫星平行数据在监测作物生长中的应用

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In this research, an approach to monitor crop growth and development is presented using time series satellite data of high spatial resolution. Monitoring of winter wheat phenology based on images of PlanetScope constellations is considered. By applying various PlanetScope data processing types and ground based GreenSeeker data, differences of NDVI values at two variants of crop fertilization are determined. In particular, the following approaches were used in the research: obtaining the Top of Atmosphere Reflectance (TOA), the Planet Surface Reflectance (SR), and receiving NDVI image in Python using a Rasterio module. It was estimated that NDVI values derived from the surface reflectance imagery were significantly correlated to the ground data of a manual active GreenSeeker optical sensor (p < 0.05). The proposed simplified technique, based on PlanetScope NDVI time series, demonstrates the possibilities to monitor temporal changes in crop growth.
机译:在本研究中,使用高空间分辨率的时间序列卫星数据介绍了监测作物生长和开发的方法。考虑了基于行星型星座的图像的冬小麦候选监测。通过应用各种平面图数据处理类型和基于地面的绿冬奈斯数据,确定了在作物施肥的两个变体中的NDVI值的差异。特别地,在研究中使用以下方法:获得大气反射率(TOA),行星表面反射率(SR)的顶部,使用RASTIO模块在Python中接收NDVI图像。据估计,来自表面反射率图像的NDVI值与手动活性绿芯光学传感器的地面数据显着相关(P <0.05)。基于Planetscope NDVI时间序列的提议的简化技术展示了监测作物生长的时间变化的可能性。

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