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Development of an index-based insurance product: validation of a forage production index derived from medium spatial resolution fCover time series

机译：基于指数的保险产品的开发：验证源自中等空间分辨率fCover时间序列的草料生产指数

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摘要

An index-based insurance is being developed to estimate and monitor forage production in France in near real-time based on a forage production index (FPI) derived from the fraction of green vegetation cover (fCover) integral, obtained from medium spatial resolution time series. This article presents the first step of the scientific validation implemented. The grassland parcels, the field protocol established to collect biomass production data, and the method used to get the fCover are described. Local ground measurements of biomass production are compared with FPI values obtained from high-resolution space-based images. Discrepancies between the two variables are quantified by the coefficient of determination, the mean square error and the normalised root mean square error. First, fCover derived from the four sensors are coherent demonstrating the ability of the algorithm used to provide a consistent way of calculating fCover. Second, for the whole data set, the scatter plot between FPI and biomass shows an acceptable correlation (R-2=0.75) improved when only taking into account data recorded up until the production maximum (R-2=0.81). Third, the analysis carried out on the scale of the parcels, grass species, period of mowing or climatic conditions reveals variability on the regression coefficients indicating that other explanatory variables should be integrated to better compute the FPI.
机译：正在开发一种基于指数的保险，以基于从中等空间分辨率时间序列获得的绿色植被覆盖率（fCover）积分的分数得出的草料生产指数（FPI），近乎实时地估算和监控法国的草料生产。 。本文介绍了实施科学验证的第一步。描述了草原地块，建立收集生物量生产数据的现场协议以及用于获取fCover的方法。将当地生物量生产的地面测量值与从高分辨率空基图像获得的FPI值进行比较。两个变量之间的差异通过确定系数，均方误差和归一化均方根误差来量化。首先，从四个传感器派生的fCover相干，证明了算法的功能，该算法可提供一致的计算fCover的方式。其次，对于整个数据集，当仅考虑直到生产最大值（R-2 = 0.81）之前记录的数据时，FPI和生物量之间的散点图显示出可接受的相关性（R-2 = 0.75）得到改善。第三，在地块，草种，割草期或气候条件的规模上进行的分析揭示了回归系数的可变性，表明应整合其他解释变量以更好地计算FPI。

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