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Soil moisture mapping at regional scales using microwave radiometry: the Southern Great Plains Hydrology Experiment

机译:使用微波辐射法在区域尺度上绘制土壤湿度图:南部大平原水文实验

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Surface soil moisture retrieval algorithms based on passive microwave observations, developed and verified at high spatial resolution, were evaluated in a regional scale experiment. Using previous investigations as a base, the Southern Great Plains Hydrology Experiment (SGP97) was designed and conducted to extend the algorithm to coarser resolutions, larger regions with more diverse conditions, and longer time periods. The L-band electronically scanned thinned array radiometer (ESTAR) was used for daily mapping of surface soil moisture over an area greater than 10000 km/sup 2/ for a one month period. Results show that the soil moisture retrieval algorithm performed the same as in previous investigations, demonstrating consistency of both the retrieval and the instrument. Error levels were on the order of 3% for area Integrated averages of sites used for validation. This result showed that for the coarser resolution used that the theory and techniques employed in the algorithm apply at this scale. Spatial patterns observed in the Little Washita Watershed in previous investigations were also observed. These results showed that soil texture dominated the spatial pattern at this scale. However, the regional soil moisture patterns were a reflection of the spatially variable rainfall and soil texture patterns were not as obvious.
机译:在区域规模的实验中对基于被动微波观测的地面土壤水分反演算法进行了开发,并在高空间分辨率下进行了验证。以以前的研究为基础,设计并进行了南部大平原水文实验(SGP97),以将算法扩展到分辨率更高,条件更多样化的更大区域以及更长的时间段。使用L波段电子扫描稀疏阵列辐射计(ESTAR)每天绘制一个大于10000 km / sup 2 /的区域的表层土壤水分。结果表明,土壤水分反演算法的性能与以前的研究相同,证明了反演和仪器的一致性。用于验证的站点的区域综合平均值的误差水平约为3%。该结果表明,对于较粗略的分辨率,算法中采用的理论和技术可在此规模上应用。在先前的调查中,在Little Washita流域观察到的空间格局也得到了观察。这些结果表明,土壤质地在这个尺度上主导着空间格局。但是,区域土壤湿度模式反映了空间变化的降雨,土壤质地模式并不明显。

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