Quantitative retrieval of soil salt content based on remote sensing in the Yellow River delta

doi:10.7523/j.issn.1002-1175.2013.02.012

Abstract

Abstract:

The Yellow River delta is rich in land resource, but serious soil salinization affects local agricultural production and poses a threat to stability of ecological environment. The traditional multiple linear regression model and the BP artificial neural network model were both used to derive the soil salinity in the Yellow River delta based on the home-made CBERS-02B multispectral images. It is found that the BP artificial neural network model performs much better than the multiple linear regression model in inversing soil salinity, especially for heavy saline soil area.

Key words: salinity, Yellow River delta, CBERS-02B, quantitative remote sensing inversion

CLC Number:

S156.4
X833

ZHANG Cheng-Wen, TANG Jia-Kui, YU Xin-Ju, WANG Chun-Lei, MI Su-Juan. Quantitative retrieval of soil salt content based on remote sensing in the Yellow River delta[J]. , 2013, 30(2): 220-227.

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