Quantitative assessment of soil salinity using multi-source remote sensing data based on the support vector machine and artificial neural network
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Title
Quantitative assessment of soil salinity using multi-source remote sensing data based on the support vector machine and artificial neural network
Authors
Keywords
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Journal
INTERNATIONAL JOURNAL OF REMOTE SENSING
Volume -, Issue -, Pages 1-23
Publisher
Informa UK Limited
Online
2018-09-06
DOI
10.1080/01431161.2018.1513180
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- Satellite-based monitoring of decadal soil salinization and climate effects in a semi-arid region of China
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- Dynamic prediction of soil salinization in an irrigation district based on the support vector machine
- (2011) Xiaoyan Guan et al. MATHEMATICAL AND COMPUTER MODELLING
- Characterizing soil salinity in irrigated agriculture using a remote sensing approach
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