Extraction of soil salinization information from the Manas river basin based on TM Images

Ling Wang, Peng Guo, Lin Liu

Geography Department of Shihezi University, Shihezi 832000, China

Remote sensing technology is widely used in real-time observations. In this study, therefore, salinization information was extracted from Thematic Mapper (TM) images. In particular, remote sensing information regarding saline soil was obtained to analyse its dynamic changes. This soil collected from the Manas River Basin in Xinjiang Province China was selected as the research area. Data from Landsat TM remote sensing images with seven bands were obtained in August 2010 as inputs, and salinization information was extracted using the e-Cognition system. As per this information, high-salinity soil is mainly distributed outside the oasis. The data were analysed further through the normalized differential vegetation, normalized difference water, and remote sensing image indices. Analysis results show that overall classification accuracy can reach 83.7%, thus demonstrating that the automatic extraction of information regarding saline soil is highly accurate. Furthermore, this information can be automatically and precisely extracted using an object-oriented method.