Ground-based passive microwave remote sensing observations of soil moisture at S-band and L-band with insight into measurement accuracy

被引:30
作者
Laymon, CA [1 ]
Crosson, WL
Jackson, TJ
Manu, A
Tsegaye, TD
机构
[1] Univ Space Res Assoc, Global Hydrol & Climate Ctr, Huntsville, AL 35805 USA
[2] USDA ARS, Hydrol Lab, Beltsville, MD 20705 USA
[3] Alabama A&M Univ, Ctr Hydrol Soil Climatol & Remote Sensing, Normal, AL 35762 USA
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2001年 / 39卷 / 09期
基金
美国国家航空航天局;
关键词
D O I
10.1109/36.951075
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
A ground-based experiment in passive microwave remote sensing of soil moisture was conducted in Huntsville, AL from July 1-14, 1996. The goal of the experiment was to evaluate the overall performance of an empirically-based retrieval algorithm at S-band and L-band under a different set of conditions and to characterize the site-specific accuracy inherent within the technique. With high temporal frequency observations at S-band and L-band, we were able to observe large scale moisture changes following irrigation and rainfall events, as well as diurnal behavior of surface moisture among three plots, one bare, one covered with short grass and another covered with alfalfa. The L-band emitting depth was determined to be on the order of 0-3 or 0-5 cm below 0.30 cm(3)/cm(3) with an indication that it is less at higher moisture values. The S-band emitting depth was not readily distinguishable from L-band. The uncertainty in remotely sensed soil moisture observations due to surface heterogeneity and temporal variability in variables and parameters was characterized by imposing random errors on the most sensitive variables and parameters and computing the confidence limits on the observations. Discrepancies between remotely sensed and gravimetric soil moisture estimates appear to be larger than those we should expect from errors in variable and parameter estimation. This would suggest that a vegetation correction procedure based on more dynamic modeling may be required to improve the accuracy of remotely sensed soil moisture.
引用
收藏
页码:1844 / 1858
页数:15
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