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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Estimating the Number of Reference Sites Necessary for the Validation of Global Soil Moisture Products
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Estimating the Number of Reference Sites Necessary for the Validation of Global Soil Moisture Products

机译：估算全球土壤湿度产品验证所需的参考网站数量

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摘要

The Committee on Earth Observation Satellites (CEOS) Land Product Validation (LPV) subgroup has been established to coordinate the development of standardized validation across the satellite-derived products from different platforms, sensors, and algorithms with reference measurements from the in situ networks. Soil moisture exhibits a high variability in space that challenges the in situ validation. One of the main drivers for this variability is the characteristic heterogeneity in the soil texture. By the machine learning methods using the soil profile measurements and the remotely sensed predictors, spatially continuous maps of basic soil properties such as soil texture and bulk density are available. Those can be used to estimate soil moisture variability within a satellite product grid cell, here exemplarily shown for the Soil Moisture Active Passive (SMAP) 36-km product. The soil moisture standard deviation is described as a function of the mean soil moisture, whereby the approach needs the mean and standard deviation of the hydraulic parameters as input. The resulting global data set helps identifying the number of in situ stations necessary to validate the coarse soil moisture products. For most SMAP grid cells, three to four stations are adequate to estimate the mean soil moisture for validation; however, also regions were identified where 80 stations are necessary.
机译：地球观测卫星委员会（CEO）土地产品验证（LPV）亚群成立，以协调来自不同平台，传感器和算法的卫星衍生产品的标准化验证的开发，与来自原位网络的参考测量。土壤湿度在挑战原位验证的空间上表现出高度变化。这种变异性的主要驱动因素是土壤纹理中的特征异质性。通过使用土壤轮廓测量的机器学习方法和远程感测的预测因子，可获得土壤纹理和散装密度的基本土壤性质的空间连续地图。那些可用于估计卫星产品栅极细胞内的土壤水分变异性，其中示例性地示出了土壤水分活性无源（SMAP）36 km产物。土壤水分标准偏差被描述为平均土壤水分的函数，从而该方法需要液压参数的平均值和标准偏差作为输入。由此产生的全局数据集有助于识别验证粗土水量所需的原位站的数量。对于大多数液体栅格电池，三到四个站足以估计验证的平均土壤水分;然而，鉴定了80个站点是必要的区域。

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