Quantitative Retrieval of Soil Salt Content Using Hyperspectral Data in the Keriya River Basin

doi:10.7522/j.issn.1000-694X.2013.00427

JOURNAL OF DESERT RESEARCH

2014, Vol. 34

Issue (6): 1562-1567 DOI: 10.7522/j.issn.1000-694X.2013.00427

Quantitative Retrieval of Soil Salt Content Using Hyperspectral Data in the Keriya River Basin

Tao Lanhua, Tashpolat·Tiyip, Jiang Hongtao, Mamat·Sawut, Wu Xuemei

College of Resources and Environment Sciences/Key Laboratory of Oasis Ecology under Ministry of Education, Xinjiang University, Urumqi 830046, China

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Abstract Spectral reflectance properties of soil samples, collected in the area along the Keriya River, were measured. A partial least squares regression (PLSR) model was establish by comparing different preprocessing methods spectral reflectance and a theoretical foundation for the quantitative inversion of soil salt content was provided, then the root mean squared error (RMSE) was introduced to test the predictability and precision of the model, coefficient of the determination (R²) was used to evaluate stability of the model. The results demonstrated that: the first derivate reflectance was optimal index for predicting salt content; the PLSR was the optimal model to establish the relationship between the soil spectrum and salt content, in which the R², RMSE and rate of prediction to deviation was 0.77, 0.25 and 1.88, respectively.

Key words: hyperspectral soil salt content PLSR

Received: 03 September 2013 Published: 20 November 2014

ZTFLH:

S159

Corresponding Authors: 塔西甫拉提·特依拜(Email:tash@xju.edu.cn) E-mail: tash@xju.edu.cn



	Articles by authors
	Tao Lanhua
	Tashpolat·
	Tiyip
	Jiang Hongtao
	Mamat·
	Sawut
	Wu Xuemei

Cite this article:

Tao Lanhua, Tashpolat·Tiyip, Jiang Hongtao, Mamat·Sawut, Wu Xuemei. Quantitative Retrieval of Soil Salt Content Using Hyperspectral Data in the Keriya River Basin. JOURNAL OF DESERT RESEARCH, 2014, 34(6): 1562-1567.

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http://www.desert.ac.cn/EN/10.7522/j.issn.1000-694X.2013.00427 OR http://www.desert.ac.cn/EN/Y2014/V34/I6/1562

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