机载雷达和辐射计数据反演植被覆盖区土壤水分的初步研究

用土壤水分试验(SMEX02)中获取的机载雷达和辐射计(PALS)数据进行反演土壤水分的研究。首先利用PALS数据中雷达和辐射计对土壤水分最敏感的波段,进行主被动结合的多元线性回归反演土壤水分。结果表明,这种方法并不能有效地提高反演精度;然后,改进了一个新提出的适用于大尺度星载C波段辐射计数据的土壤水分获取方法,提高其运算效率,并将该算法应用到PALS数据,一方面验证了该方法在机载高分辨率数据和非C波段下的适用性,另一方面对该方法进行了定量化评价。

Soil moisture retrieval using airborne radar and radiometer in the region with vegetation cover

In this paper,the passive and active L/S band sensor(PALS) data obtained during SMEX02,which consists of airborne L-and S-band radar and radiometer data,are used for the estimation of soil moisture.Firstly,the multiple regression analysis is performed by combining the two channels,the most active and passive channel to retrieve soil moisture,but no effective improvement is achieved,which suggests that the multiple regression combining active and passive channels is not useful for the retrieval of soil moisture,a new method for soil moisture retrieval from large-scale C-band spaceborne radiometer is modified only to perform more efficiently,and the PALS data are used to prove the applicability of the method to high-resolution airborne radiometer and other band of the electromagnetic wave spectrum.In addition,the evaluation of the method is conducted quantitatively.