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Discussion papers
https://doi.org/10.5194/nhess-2018-303
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2018-303
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 30 Oct 2018

Research article | 30 Oct 2018

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This discussion paper is a preprint. A revision of the manuscript is under review for the journal Natural Hazards and Earth System Sciences (NHESS).

An attempt to monitor seasonal dynamics of soil salinization in the Yellow River Delta region of China using Landsat data

Hongyan Chen, Gengxing Zhao, Yuhuan Li, Danyang Wang, and Ying Ma Hongyan Chen et al.
  • National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer Resources, College of Resources and Environment, Shandong Agricultural University, Taian 271018, China

Abstract. Monitoring seasonal dynamics of soil salinization is necessary with distinct seasonal climates. The article is to explore the optimal inversion models of soil salinity content (SSC) in different seasons and to achieve the spatial distribution and seasonal dynamics of SSC in Kenli district in the Yellow River Delta (YRD) region of China. Based on the Landsat data in 2013, the improved vegetation indices (IVI) were constucted, which were then applied in the SSC inversion model construction. Finally, the SSC optimal model in each season was extracted, then, the spatial distributions and seasonal dynamics of SSC in four seasons were analysed. The results indicated that the support vector machine (SVM) method resulted in the best inversion models. The SSC best inversion model of spring was also determined as the optimal model of winter, similarly, the best model of autumn was also as the optimal model of summer. The SSC exhibited a gradually increasing trend from the south-west to the north-east in Kenli district, and its seasonal dynamics were as that soil salinity accumulates in spring, decreases in summer, rises in autumn, and peaks in winter. This work would provide data support for the treatment and utilization of saline alkali soil in the YRD region.

Hongyan Chen et al.
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Short summary
In Kenli district in the Yellow River Delta (YRD) region of China, using Landsat data, the optimal inversion model of soil salt content (SSC) for different seasons was determined, the SSC exhibited a gradually increasing trend from the south-west to the north-east, and its seasonal dynamics were as that soil salinity accumulates in spring, decreases in summer, rises in autumn, and peaks in winter. The results can provide data support for the treatment and utilization of saline alkali soil.
In Kenli district in the Yellow River Delta (YRD) region of China, using Landsat data, the...
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