干旱区生态环境知识资源中心

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 monitering soil salinization changes in arid and semi-arid regions by means of remote sensing is effective for producing detailed and accurate land degradation information.