Abstract

A low-parametric model of crop biomass dynamics using the data of satellite remote sensing of the underlying surface vegetation index and routine meteorological observations is proposed. Modeling is being done with this data filtered by yield-correlation image masking technique. The simulation is based on the Monteith equation for carbon dynamics in terrestrial ecosystems. Meteorological parameters that have an effect on the photosynthesis intensity but are rarely measured directly are calculated on the basis of analytical parameterizations obtained from reanalysis data. The validity of the model is demonstrated by the example of satellite monitoring of the spring wheat yield in the regions of the Republic of Belarus (RB).

中文翻译：

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基于卫星碳动态监测的陆地生态系统作物产量预测

摘要

提出了利用底层地面植被指数的卫星遥感数据和常规气象观测方法建立的作物生物量动态低参数模型。正在使用通过产量相关图像遮罩技术过滤的数据进行建模。该模拟基于Monteith方程，用于地球生态系统中的碳动力学。对光合作用强度有影响但很少直接测量的气象参数是根据从重新分析数据获得的分析参数化来计算的。卫星监测白俄罗斯共和国（RB）地区春小麦单产的实例证明了该模型的有效性。