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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Soil Moisture Retrieval From SAR and Optical Data Using a Combined Model
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Soil Moisture Retrieval From SAR and Optical Data Using a Combined Model

机译：使用组合模型从SAR和光学数据中检索土壤水分

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Remote sensing inversion of vegetation-covered soil moisture is often affected by crop canopy, surface roughness, and other factors. In order to eliminate the scattering influence of vegetation effectively, this paper developed a modified vegetation backscattering model to retrieve vegetation-covered soil moisture based on multi-temporal RADARSAT-2 data and field measurements. This model combined the advantages of optical and radar methods by considering scattering contributions of underlying bare soil and vegetation canopy. Vegetation coverage was used to separate the scattering mechanism of the vegetation from bare soil component in a pixel. In addition, advanced integral equation method was presented to define the scattering of underlying bare soil. PROSAIL optical model was applied to calculate crown water content, which is an important variable associated with the scattering of vegetation canopy. Results demonstrated that the modified model on March 29, 2014 performed better in soil moisture retrieval than that at other growth stages with R-2 of 0.806 and root-mean-square error of 0.043 m(3).m(-3), respectively. Soil moisture can be effectively retrieved by using the modified model in an agricultural region where the surface type is ranging from relatively sparse to full cover. Overall, the modified model provides an insight into extensive application of vegetation-covered soil moisture retrieval in agricultural regions.
机译：常识覆盖土壤水分的遥感反演通常受作物冠层，表面粗糙度和其他因素的影响。为了有效消除植被的散射影响，本文开发了一种改进的植被反向散射模型，可根据多时间雷达拉特2数据和现场测量检索植被覆盖的土壤水分。该模型通过考虑潜在的裸土和植被覆盖层的散射贡献来结合光学和雷达方法的优点。植被覆盖用于将植被的散射机制与像素中的裸露土壤成分分离。此外，提出了先进的整体方程方法，以确定底层裸土的散射。勘探光学模型被应用于计算冠状水含量，这是与植被覆盖器散射相关的重要变量。结果表明，2014年3月29日的修改模型在土壤水分检索中表现优于其他生长阶段，其其他生长阶段为0.806的R-2和0.043μm（3）.m（3）。（-3）的根平均误差。通过在农业区域中使用改性模型可以有效地检索土壤水分，这些模型从表面型从相对稀疏到全盖。总体而言，改进的模型介绍了农业地区植被覆盖的土壤水分检索的广泛应用。

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