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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >A COMPARISON OF SOIL MOISTURE RETRIEVAL MODELS USING SIR-C MEASUREMENTS OVER THE LITTLE WASHITA RIVER WATERSHED
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A COMPARISON OF SOIL MOISTURE RETRIEVAL MODELS USING SIR-C MEASUREMENTS OVER THE LITTLE WASHITA RIVER WATERSHED

机译:小水河流域利用SIR-C测量的土壤水分反演模型的比较

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SIR-C L-band measurements over the Little Washita River watershed in Chickasha, Oklahoma during 11-17 April 1994 have been analyzed for studying the change of soil moisture in the region. Two algorithms developed recently for estimation of moisture content in bare soil were applied to these measurements and the results were compared with those sampled on the ground. There is a good agreement between the values of soil moisture estimated by either one of the algorithms and those measured from ground sampling for bare or sparsely vegetated fields. The standard error from this comparison is on the order of 0.05-0.06 cm(3)/cm(3), which is comparable to that expected from a regression between backscattering coefficients and measured soil moisture. Both algorithms provide a poor estimation of soil moisture or fail to give solutions to areas covered with moderate or fail to give solutions to areas covered with moderate or dense vegetation. Even for bare soils the number of pixels that bear no numerical solution from the application of either one of the two algorithms to the data is not negligible. Results from using one of these algorithms indicate that the fraction of these pixels becomes larger as the bare soils become drier. The other algorithm generally gives a larger fraction of these pixels when the fields are vegetation-covered. The implication and impact of these features are discussed in this article. (C)Elsevier Science Inc., 1997. [References: 26]
机译:1994年4月11日至17日在俄克拉荷马州奇卡沙的Little Washita河小流域的SIR-C L波段测量结果进行了分析,以研究该地区土壤湿度的变化。将最近开发的两种用于估算裸露土壤中水分含量的算法应用于这些测量,并将结果与​​在地面上采样的结果进行比较。在通过任何一种算法估算的土壤水分值与从裸露或稀疏植被的地面采样中测得的土壤水分值之间有着很好的一致性。通过该比较得出的标准误差在0.05-0.06 cm(3)/ cm(3)的数量级上,与反向散射系数和测得的土壤湿度之间的回归预期相符。两种算法都无法提供对土壤湿度的估计,或者无法为中等覆盖区域提供解决方案,或者无法为中等或茂密植被覆盖区域提供解决方案。即使对于裸露的土壤,将两种算法中的任何一种应用于数据也无法解决数值问题的像素数量也是不可忽略的。使用这些算法之一的结果表明,这些像素的比例随着裸土变干而变大。当场被植被覆盖时,另一种算法通常会提供这些像素的较大部分。本文讨论了这些功能的含义和影响。 (C)Elsevier Science Inc.,1997年。[参考:26]

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