Spectroscopy and Spectral Analysis, Volume. 33, Issue 10, 2771(2013)
Predicting Soil Salinity Based on Spectral Symmetry under Wet Soil Condition
There has been a growing interest in using spectral reflectance as a rapid and inexpensive tool for soil salinity monitoring in recent years. However, since soil moisture often exerts a tremendous influence on soil reflectance, the monitoring accuracy under various moisture conditions cannot fully satisfy the requirements of agricultural practice. In the present paper, a linear model was built to relate the spectral symmetry in the band of 1 370~1 610 nm with the salt content and moisture content of the saline soil based on regularly measured data of reflectance, soil moisture and salt content of the surface of 5 soil columns during the simulated evaporation process in laboratory. The results showed that the model was good with r greater than 0.8. By inversing the model, soil salt content then was predicted after moisture content was determined. The results showed that the prediction accuracy was acceptable with a root mean square error (RMSE) of 2.059 g·kg-1 and an r of 0.656. The results demonstrated the feasibility of using spectral symmetry to predict soil salt content under various moisture conditions.
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LIU Ya, PAN Xian-zhang, WANG Chang-kun, LI Yan-li, SHI Rong-jie, ZHOU Rui, XIE Xian-li. Predicting Soil Salinity Based on Spectral Symmetry under Wet Soil Condition[J]. Spectroscopy and Spectral Analysis, 2013, 33(10): 2771
Received: Dec. 31, 2012
Accepted: --
Published Online: Oct. 23, 2013
The Author Email: Ya LIU (liuya@issas.ac.cn)