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Testing a Satellite Data-based Light-use Efficiency Model for Mapping Primary Production

机译:测试基于卫星数据的光利用效率模型以映射初级生产

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摘要

We test a Light Use Efficiency model of primary production parameterized with satellite data for the West African Sahel. We forgo a formal validation of the model due to problems of spatial scale and data limitations. Instead, we generate maps showing model robustness via Monte Carlo simulation. The precision of our GPP (Gross Primary Production) estimates is acceptable, but worsens for the northern fringes of the Sahel. We also map the locations where errors in the driving variables are responsible for the bulk of uncertainty in predicted GPP, in this case the water stress factor and the NDVI. Comparisons with an independent model of primary production, CENTURY, are relatively poor. A spatially exhaustive evaluation of our GPP map is carried out by regressing randomly sampled observations against integrated NDVI, a method traditionally used to quantify absolute amounts of primary production.
机译:我们测试了由西非萨赫勒地区卫星数据参数化的主要生产的轻型使用效率模型。由于空间规模和数据限制的问题,我们放弃了对该模型的正式验证。相反,我们通过蒙特卡洛模拟生成显示模型鲁棒性的地图。我们的GPP(总生产总值)估算值的精度是可以接受的,但对于萨赫勒北部边缘地区来说却更为糟糕。我们还绘制了驱动变量误差导致预测GPP不确定性的原因所在的位置,在这种情况下为水压力因子和NDVI。与初级生产的独立模型CENTURY的比较相对较差。我们的GPP地图在空间上的详尽评估是通过针对集成的NDVI回归随机采样的观测值来进行的,NDVI是传统上用于量化一次生产的绝对量的方法。

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