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Upscaling Ground Soil Moisture to Validate Remote Sensing Estimations: is the Simple Spatial Average a Suitable Approach?

机译:提高地面土壤湿度以验证遥感估算:简单的空间平均法是否合适?

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Whereas satellite soil moisture provides global and periodic coverage of the Earth's surface with coarse to medium spatial resolution, the in situ measurements are discrete, scattered and punctual. In this work, ground soil moisture measurements from the the Soil Moisture Measurement Stations Network of the University of Salamanca (REMEDHUS) are upscaled following different approaches to match the observations provided by the Soil Moisture and Ocean Salinity (SMOS) mission, with tens km of spatial resolution. Each method led to a representative value of the soil moisture network used to validate the SMOS data. The results of the validation through the different methods showed that all of them performed in a similar way, similar in turn to the simple average.
机译:卫星土壤水分以粗略到中等的空间分辨率提供了对地球表面的整体和周期性覆盖,而原位测量则是离散的,分散的和守时的。在这项工作中,萨拉曼卡大学土壤湿度测量站网络(REMEDHUS)的地面土壤水分测量值按照不同的方法进行了升级,以匹配土壤水分和海洋盐度(SMOS)任务提供的观测结果,其距离为空间分辨率。每种方法都得出了用于验证SMOS数据的土壤水分网络的代表值。通过不同方法进行的验证结果表明,所有方法的执行方式均相似,与简单平均值相似。

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