A semi-empirical backscattering model at L-band and C-band for a soybean canopy with soil moisture inversion

被引:163
作者
De Roo, RD [1 ]
Du, Y [1 ]
Ulaby, FT [1 ]
Dobson, MC [1 ]
机构
[1] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2001年 / 39卷 / 04期
关键词
agriculture; hydrologic measurements; inverse problems; modeling; moisture measurement; parameter estimation; soil measurements; radar scattering;
D O I
10.1109/36.917912
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Radar backscatter measurements of a pair of adjacent soybean fields at L-band and C-band are reported. These measurements, which are fully polarimetric, took place over the entire growing season of 1996, To reduce the data acquisition burden, these measurements were restricted to 45 degrees in elevation and to 45 degrees in azimuth with respect to the row direction. Using the first order radiative transfer solution as a form for the model of the data, four parameters were extracted from the data for each frequency/polarization channel to provide a least squares fit to the model. Ebr inversion, particular channel combinations were regressed against the soil moisture and area density of vegetation water mass. Using L-band cross-polarization and VV-polarization, the vegetation water mass can be regressed with an R-2 = 0.867 and a root mean square error (RMSE) of 0.0678 kg/m(2), Similarly, while a number of channels, or combinations of channels, can be used to invert for soil moisture, the best combination observed, namely, L-band VV-polarization, C-band HV- and VV-polarizations, can achieve a regression coefficient of R-2 = 0.898 and volumetric soil moisture RMSE of 1.75%.
引用
收藏
页码:864 / 872
页数:9
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