Measuring surface roughness height to parameterize radar backscatter models for retrieval of surface soil moisture

被引:76
作者
Bryant, R. [1 ]
Moran, M. S.
Thoma, D. P.
Collins, C. D. Holifield
Skirvin, S.
Rahman, M.
Slocum, K.
Starks, P.
Bosch, D.
Gonzalez Dugo, M. P.
机构
[1] USDA, ARS, SW Watershed Res Ctr, Tucson, AZ 85719 USA
[2] USA, Engineer Res & Dev Ctr, Topog Engn Ctr, Alexandria, VA 22315 USA
[3] USDA ARS, Grazinglands Res Lab, El Reno, OK 73036 USA
[4] USDA ARS, SE Watershed Res Lab, Tifton, GA 31793 USA
[5] IFAPA Inst Andaluz Invest & Formac Agraria Pesque, Area Prod Ecol & Recursos Nat CIFA Alameda Obispo, Cordoba 14080, Spain
关键词
integral equation model (IEM); laser radar; modeling; pinmeter; radar imaging; rough surfaces; roughness measurement; soil moisture measurement;
D O I
10.1109/LGRS.2006.887146
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
Surface roughness is a crucial input for radar backscatter models. Roughness measurements of root mean-squared height (h(rms)) of the same surface can vary depending on the measuring instrument and how the data are processed. This letter addresses the error in h(rms) associated with instrument bias and instrument deployment issues such as number and length of measurement transects. It was found that at least 20 transect measurements, 3 m in length, for study sites ranging from 3.5 to 1225 m(2) in size were necessary to get a consistent h(rms), measurement. Also, roughness heights of longer transect lengths were highly dependent on the method of detrending the transects. Finally, soil moisture was predicted by inverting the integral equation model using roughness heights taking into account instrument bias, number of measurements, and the detrending method. For common configurations of the Radarsat sensor and reasonable h(rms) values, error associated with measurement of h(rms) generally exceeded +/- 20% of soil-moisture prediction.
引用
收藏
页码:137 / 141
页数:5
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