Estimating soil salinity in different landscapes of the Yellow River Delta through Landsat OLI/TIRS and ETM plus Data

文献类型： 外文期刊

第一作者： Meng, Ling

作者： Meng, Ling;Meng, Ling;Zhou, Shiwei;Zhang, Hua;Bi, Xiaoli

作者机构：

关键词： Soil salinity;Electrical conductivity;Landsat OLI/TIRS;Landsat ETM;the Yellow River Delta

期刊名称：JOURNAL OF COASTAL CONSERVATION （ 影响因子：1.839； 五年影响因子：1.861 ）

ISSN：

年卷期：

页码：

收录情况： SCI

摘要： Soil salinization has increasingly become a serious issue in coastal zone due to global climate changes and human disturbances. Assessment of soil salinity, especially at the landscape scale, is critical to coastal management and restoration. Two data from OLI/TIRS and ETM+ sensors of Landsat satellite were used to compare their ability to invert the spatial pattern of soil salinity in both farmland and salt marsh landscapes in the Yellow River Delta, China, respectively. The results showed that the in situ electrical conductivity (EC (a) ) of soil, representing soil salinity, were closely related with spectral parameters and salinity indices calculated by the remote sensing data. The results of multiple regression models have showed that nearly all the spectral parameters and salinity indices calculated by OLI/TRIS data were more sensitive to soil salinity than those by ETM+ data. Therefore, the models based on OLI/TIRS data are superior to those on ETM+ data in estimating the spatial pattern of soil salinity in farmland and salt marsh landscapes. Our results were very helpful to evaluate the levels of soil salinization in the Yellow River Delta.

分类号： X145`X55`P74

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