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Estimation of cereal yields combining crop growth models and rmeotely sensedvegetation indices

机译：结合作物生长模型和有意义的植被指数估算谷物产量

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摘要

A cereal yield estimation system has been developed that incorporates a crop growth model and satellite vegetation indices to estiamte areas and yields of wheat and barley at agricultural district level, every month throughout the growing season. The agro-meteorological model simulates biomass accumulation through numerical integration with a daily time-step. Growth is taken as the minimum of water limited growth, calculated from potential water uptake rates and the amount of available water in the rooting zone, and light limited growth, calculated from the fraction of photosynthetically active radiation intercepted by the leaves. the link between this yield model and information from satellite images is founded on the assumption that there is a relationship between the vegetation index derived from the image data and the green leaf area index used in the model. To find the best fit between the model and the iamge data an optimisation process is used.
机译：已经开发了谷物产量估算系统，该系统结合了作物生长模型和卫星植被指数，以估计整个生长季节每个月在农业区一级的面积以及小麦和大麦的产量。农业气象模型通过每日时间步长的数值积分模拟生物量的积累。根据潜在的吸水率和生根区中的可用水量，将生长量作为水限制生长的最小值，而光限制生长量则是根据叶片截获的光合有效辐射的比例来计算的。该产量模型与卫星图像信息之间的联系是基于以下假设：从图像数据得出的植被指数与模型中使用的绿叶面积指数之间存在关联。为了找到模型和iamge数据之间的最佳拟合，使用了优化过程。

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