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Research on dynamic evolution of soil salinization in Tianjin costal area using remote sensing

机译：天津滨海地区土壤盐渍化动态演化研究

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摘要

Soil Salinization is one of the most devastating land degradation in agriculture and environment all around the world. The salinization classification map composed of four stages of salinity can be generated using remote sensing technology. In this paper we propose a semi-supervised procedure for dynamic evolution monitoring of soil salinization in Tianjin costal area based on the use of Landsat data. The trends and extents of soil salinization for a period from 1989 to 2009 are investigated every 10 years. Compared with traditional 2-D spectral space of NIR-R bands, the results reveals that highly saline soils can be easily differentiated in NDVI-Brightness 2-D spectral space, which is a powerful tool for exploring salinization information in Landsat data. Mapping and monitoring soil salinization changes in arid and semi-arid regions by means of remote sensing is effective for producing detailed and accurate land degradation information.
机译：土壤盐渍化是世界各地农业和环境中最具破坏性的土地退化之一。可以使用遥感技术产生由四个盐度级组成的盐渍化分类映射。本文提出了一种半监督程序，用于基于利用Landsat数据的天津肋骨面积土壤盐渍化动态演变监测。每10年调查1989年至2009年的土壤盐渍化趋势和范围。与NIR-R带的传统二维光谱空间相比，结果表明，高等盐水土壤可以在NDVI亮度2-D光谱空间中容易地区分，这是一种强大的工具，用于探索Landsat数据中的碳化信息。通过遥感方式测绘干旱和半干旱地区的土壤盐渍化变化对于生产详细和准确的土地退化信息有效。

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