摘要
通过IEM正演模型的模拟数据,发展了一种用S波段(3.0GHz)、VV极化数据反演土壤含水量相对变化的算法;选择典型的土壤含水量、地表粗糙度及入射角变化范围,模拟出两幅SAR图像,并把该算法应用到模拟图像中,对算法进行验证和改进;将结果与输入值对比,结果表明,该算法能较好地提取土壤含水量时间和空间变化信息。
An algorithm for soil moisture change estimation is proposed by using S-band (3.0GHz) and VV polarization simulated backscattering-data based on IEM model. Such typical parameters as soil moisture, surface roughness and incidence angle are chosen to simulate two radar images for validation and improvement of the algorithm. The comparison results are well consistent with the inputting parameters under the applicable condition, which shows that the method can estimate spatial and temporal change of soil moisture.
出处
《国土资源遥感》
CSCD
2005年第2期12-15,共4页
Remote Sensing for Land & Resources
基金
国家863项目(批准号:2003AA131053)
KGW项目支持。
