美国玉米带卫星尺度土壤表面粗糙度反演

Victoria A. Walker, M. Cosh, B. Hornbuckle
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引用次数: 0

摘要

在农田中,l波段地面亮度温度不仅是土壤湿度和植被的函数,而且是随时间变化的土壤表面粗糙度的函数。土壤表面粗糙度随人类活动的变化而变化,如作物种植、土壤耕作和降雨。我们使用来自美国玉米带南叉SMAP核心验证站点的原位数据来确定卫星尺度上土壤表面粗糙度信号的大小和极化依赖性。我们发现,当作物不存在时,土壤表面粗糙度的恢复比预期的要大,并且除了它们的最大值之外,它们有效地独立于极化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Satellite-Scale Soil Surface Roughness Retrieval in the US Corn Belt
In croplands, the L-band terrestrial brightness temperature is a function of not only soil moisture and vegetation, but also time-varying soil surface roughness. Soil surface roughness changes in response to human activities, such as the planting of crops, soil tillage, and rainfall. We use in situ data from the South Fork SMAP Core Validation Site in the US Corn Belt to determine the magnitude and polarization dependence of the soil surface roughness signal at the satellite scale. We find that when crops are not present, soil surface roughness retrievals are larger than anticipated, and are effectively independent of polarization except for their largest values.
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