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What perspective in remote sensing of soil moisture for hydrological applications by coarse-resolution sensors

机译：粗分辨率传感器在水文应用遥感土壤水分中的应用前景

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摘要

Soil moisture is a key state variable in hydrology, it controls the proportion of rainfall that infiltrates, runoff and evaporates from the land. For hydrological applications, soil moisture monitoring at catchment scale is required and, for that, microwave remote sensing sensors might be used. However, due to their coarse-spatial resolution, the skepticism on the suitability to retrieve the soil moisture at catchment scale takes still place. This work attempts to bring out if coarse-resolution sensors for soil moisture monitoring can have some perspectives for hydrological applications. Two soil moisture products derived from the Advanced SCATterometer (ASCAT) and the Advanced Microwave Scanning Radiometer-EOS (AMSR-E) are used for this purpose. The analysis is addressed by investigating: (i) the reliability of product data in the estimation of the wetness conditions of a catchment antecedent to rainfall events, and (ii) the benefit on runoff prediction if data are assimilated into a rainfall-runoff model. Rainfall-runoff observations are taken from several catchments in Italy and Luxembourg for testing. Results reveal that ASCAT and AMSR-E soil moisture products can be conveniently used to improve runoff prediction thus opening new important challenges and opportunities for the use of this new sources of data in the operational hydrology.
机译：土壤水分是水文学中的关键状态变量，它控制着从土地渗透，径流和蒸发的降雨比例。对于水文应用，需要对流域规模的土壤湿度进行监测，为此，可以使用微波遥感传感器。然而，由于其粗糙的空间分辨率，人们仍然对是否适合在流域尺度上获取土壤水分持怀疑态度。这项工作试图证明用于土壤湿度监测的粗分辨率传感器在水文应用方面是否具有某些前景。为此，使用了来自高级散射光谱仪（ASCAT）和高级微波扫描辐射计-EOS（AMSR-E）的两种土壤水分产品。通过调查以下内容来进行分析：（i）在估计降雨事件之前的集水区的湿润条件时，产品数据的可靠性；以及（ii）如果将数据同化为降雨径流模型，则对径流预测的好处。雨水径流观测值来自意大利和卢森堡的几个流域，用于测试。结果表明，可以方便地使用ASCAT和AMSR-E土壤水分产品来改善径流预报，从而为在运营水文学中使用这种新数据来源带来新的重要挑战和机遇。

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