Operational mapping of soil moisture using synthetic aperture radar data:: Application to the touch basin (France)
Operational mapping of soil moisture using synthetic aperture radar data:: Application to the touch basin (France)
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DOI：
10.3390/s7102458
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发表时间：
2007-10-01
期刊：
影响因子：
3.9
通讯作者：
Desprats, Jean Francois
中科院分区：
文献类型：
--
作者：
Baghdadi, Nicolas;Aubert, Maelle;Desprats, Jean Francois
土壤湿度是水文学和自然风险评估等不同环境应用中的关键参数。在本文中，表层土壤水分测绘进行了在法国的一个盆地，使用卫星合成孔径雷达（SAR）图像在2006年和2007年获得的C波段（5.3 GHz）传感器。从SAR数据估计的土壤湿度和原位测量之间的比较显示出良好的协议，与映射精度优于3%。这一结果表明，从SAR图像监测土壤水分在业务阶段是可能的。此外，将SIM-Safran-ISBA-Modcou链中法国气象局ISBA土壤-植被-大气传输模型模拟的湿度与雷达湿度估计值进行了比较，以验证其相关性。ISBA模拟和雷达估计之间的差异在0.4%和10%（RMSE）之间波动。ISBA和2007年3月12日的重力测量结果之间的比较显示，RMSE约为6%。总的来说，这些结果非常令人鼓舞。结果还表明，从SAR图像估计的土壤湿度是不相关的纹理单位在欧洲土壤地理数据库（SGDBE）在1：1000000的比例。然而，依赖性之间的纹理图和ISBA水分观察。这种依赖性是通过使用纹理贴图作为ISBA模型中的输入参数而引起的。即使这个参数是非常重要的土壤水分估计，雷达结果表明，纹理图比例尺为1：1000000是不适合区分水分区。
Soil moisture is a key parameter in different environmental applications, such as hydrology and natural risk assessment. In this paper, surface soil moisture mapping was carried out over a basin in France using satellite synthetic aperture radar (SAR) images acquired in 2006 and 2007 by C-band (5.3 GHz) sensors. The comparison between soil moisture estimated from SAR data and in situ measurements shows good agreement, with a mapping accuracy better than 3%. This result shows that the monitoring of soil moisture from SAR images is possible in operational phase. Moreover, moistures simulated by the operational Meteo-France ISBA soil-vegetation-atmosphere transfer model in the SIM-Safran-ISBA-Modcou chain were compared to radar moisture estimates to validate its pertinence. The difference between ISBA simulations and radar estimates fluctuates between 0.4 and 10% (RMSE). The comparison between ISBA and gravimetric measurements of the 12 March 2007 shows a RMSE of about 6%. Generally, these results are very encouraging. Results show also that the soil moisture estimated from SAR images is not correlated with the textural units defined in the European Soil Geographical Database (SGDBE) at 1: 1000000 scale. However, dependence was observed between texture maps and ISBA moisture. This dependence is induced by the use of the texture map as an input parameter in the ISBA model. Even if this parameter is very important for soil moisture estimations, radar results shown that the textural map scale at 1: 1000000 is not appropriate to differentiate moistures zones.