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A Method for Downscaling FengYun-3B Soil Moisture Based on Apparent Thermal Inertia

机译：基于表观热惯性的风云3B土壤水分降尺度方法

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FengYun-3B (FY-3B) soil moisture product, retrieved from passive microwave brightness temperature data based on the Qp model, has rarely been applied at the catchment and region scale. One of the reasons for this is its coarse spatial resolution (25-km). The study in this paper presented a new method to obtain a high spatial resolution soil moisture product by downscaling FY-3B soil moisture product from 25-km to 1-km spatial resolution using the theory of Apparent Thermal Inertia (ATI) under bare surface or sparse vegetation covered land surface. The relationship between soil moisture and ATI was first constructed, and the coefficients were obtained directly from 25-km FY-3B soil moisture product and ATI derived from MODIS data, which is different from previous studies often assuming the same set of coefficients applicable at different spatial resolutions. The method was applied to Naqu area on the Tibetan Plateau to obtain the downscaled 1-km resolution soil moisture product, the latter was validated using ground measurements collected from Soil Moisture/Temperature Monitoring Network on the central Tibetan Plateau (TP-STMNS) in 2012. The downscaled soil moisture showed promising results with a coefficient of determination R 2 higher than 0.45 and a root mean-square error (RMSE) less than 0.11 m 3 /m 3 when comparing with the ground measurements at 5 sites out of the 9 selected sites. It was found that the accuracy of downscaled soil moisture was largely influenced by the accuracy of the FY-3B soil moisture product. The proposed method could be applied for both bare soil surface and sparsely vegetated surface.
机译：从基于Qp模型的被动微波亮度温度数据中检索到的丰云3B（FY-3B）土壤水分产品，很少在集水区和区域范围应用。原因之一是其粗糙的空间分辨率（25公里）。本文的研究提出了一种新方法，该方法使用裸表面或表面下的表观热惯性（ATI）理论将FY-3B土壤水分积从25 km缩小为1 km空间分辨率，从而获得高空间分辨率的土壤水分积。稀疏的植被覆盖了土地表面。首先建立了土壤水分与ATI之间的关系，并直接从25 km FY-3B土壤水分积和MODIS数据得出的ATI中获得了系数，这与以前的研究有所不同，通常假设相同的系数集适用于不同的情况空间分辨率。该方法已应用于青藏高原那曲地区，获得了缩小后的1公里分辨率的土壤水分产品，后者已通过2012年从青藏高原中部土壤水分/温度监测网络（TP-STMNS）收集的地面测量数据进行了验证。与选定的9个地点中的5个地点的地面测量结果相比，降低尺度的土壤水分显示出令人鼓舞的结果，测定系数R 2高于0.45，并且均方根误差（RMSE）小于0.11 m 3 / m 3。网站。发现降低比例的土壤水分的精度在很大程度上受到FY-3B土壤水分产品的精度的影响。所提出的方法可以应用于裸露的土壤表面和稀疏的植被表面。

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