The objective of this study is to improve the performance of semi-empirical radar backscatter models, which are mainly used in microwave remote sensing (Oh 1992, Oh 2004 and Dubois). The study is based on satellite an...The objective of this study is to improve the performance of semi-empirical radar backscatter models, which are mainly used in microwave remote sensing (Oh 1992, Oh 2004 and Dubois). The study is based on satellite and ground data collected on bare soil surfaces during the Multispectral Crop Monitoring experimental campaign of the CESBIO laboratory in 2010 over an agricultural region in southwestern France. The dataset covers a wide range of soil (viewing top soil moisture, surface roughness and texture) and satellite (at different frequencies: X-, C- and L-bands, and different incidence angles: 24.3° to 53.3°) configurations. The proposed methodology consists in identifying and correcting the residues of the models, depending on the surface properties (roughness, moisture, texture) and/or sensor characteristics (frequency, incidence angle). Finally, one model has been retained for each frequency domain. Results show that the enhancements of the models significantly increase the simulation performances. The coefficient of correlation increases of 23% in mean and the simulation errors (RMSE) are reduced to below 2 dB (at the X and C-bands) and to 1 dB at the L-band, compared to the initial models. At the X- and C-bands, the best performances of the modified models are provided by Dubois, whereas Oh 2004 is more suitable for the L-band (r is equal to 0.69, 0.65 and 0.85). Moreover, the modified models of Oh 1992 and 2004 and Dubois, developed in this study, offer a wider domain of validity than the initial formalism and increase the capabilities of retrieving the backscattering signal in view of applications of such approaches to stronglycontrasted agricultural surface states.展开更多
基于大气湍流非相干散射理论,采用泰勒方法对湍流谱函数进行近似,推导获得了对流层散射传输损耗与大气折射率结构常数的关系,即L-C模型;开展了对流层散射传播试验,基于WRF(Weather Research and Forecasting)数值模式对试验期间大气折...基于大气湍流非相干散射理论,采用泰勒方法对湍流谱函数进行近似,推导获得了对流层散射传输损耗与大气折射率结构常数的关系,即L-C模型;开展了对流层散射传播试验,基于WRF(Weather Research and Forecasting)数值模式对试验期间大气折射率结构常数进行预报;基于预报的大气折射率结构常数数据应用L-C模型预测对流层散射传输损耗,并与试验测试损耗值进行对比研究.结果表明,应用L-C模型预测的损耗值与实测值变化趋势吻合较好,均方根误差不超过6dB,并且传输损耗与大气折射率结构常数间的相关系数均大于0.7,表明了对流层散射传输损耗与大气折射率结构常数之间较强的相关性.这种对流层散射与大气折射率结构常数之间的相关性对于对流层散射传输的机理和建模研究都有重要意义.展开更多
文摘The objective of this study is to improve the performance of semi-empirical radar backscatter models, which are mainly used in microwave remote sensing (Oh 1992, Oh 2004 and Dubois). The study is based on satellite and ground data collected on bare soil surfaces during the Multispectral Crop Monitoring experimental campaign of the CESBIO laboratory in 2010 over an agricultural region in southwestern France. The dataset covers a wide range of soil (viewing top soil moisture, surface roughness and texture) and satellite (at different frequencies: X-, C- and L-bands, and different incidence angles: 24.3° to 53.3°) configurations. The proposed methodology consists in identifying and correcting the residues of the models, depending on the surface properties (roughness, moisture, texture) and/or sensor characteristics (frequency, incidence angle). Finally, one model has been retained for each frequency domain. Results show that the enhancements of the models significantly increase the simulation performances. The coefficient of correlation increases of 23% in mean and the simulation errors (RMSE) are reduced to below 2 dB (at the X and C-bands) and to 1 dB at the L-band, compared to the initial models. At the X- and C-bands, the best performances of the modified models are provided by Dubois, whereas Oh 2004 is more suitable for the L-band (r is equal to 0.69, 0.65 and 0.85). Moreover, the modified models of Oh 1992 and 2004 and Dubois, developed in this study, offer a wider domain of validity than the initial formalism and increase the capabilities of retrieving the backscattering signal in view of applications of such approaches to stronglycontrasted agricultural surface states.
文摘基于大气湍流非相干散射理论,采用泰勒方法对湍流谱函数进行近似,推导获得了对流层散射传输损耗与大气折射率结构常数的关系,即L-C模型;开展了对流层散射传播试验,基于WRF(Weather Research and Forecasting)数值模式对试验期间大气折射率结构常数进行预报;基于预报的大气折射率结构常数数据应用L-C模型预测对流层散射传输损耗,并与试验测试损耗值进行对比研究.结果表明,应用L-C模型预测的损耗值与实测值变化趋势吻合较好,均方根误差不超过6dB,并且传输损耗与大气折射率结构常数间的相关系数均大于0.7,表明了对流层散射传输损耗与大气折射率结构常数之间较强的相关性.这种对流层散射与大气折射率结构常数之间的相关性对于对流层散射传输的机理和建模研究都有重要意义.
