Soil Salizanation Information in the Yellow River Delta Based on Feature Surface Models Using Landsat 8 OLI Data

Abstract

Soil salinization as one of the major eco-environmental problems, has greatly restricted the regional development of Yellow River Delta. In this paper, five parameters that derived from Landsat images, including MSAVI, Albedo, SI, I_{\mathrm {Fe2O3}} , and WI have been utilized to establish ten feature spaces, and four categories of salinization detection model have been proposed. After analysis and comparison of inversion accuracy, the three typical surface parameters, including SI ( R^{2}=0.85 ), \text{I}_{\mathrm {Fe2O3}} ( R^{2}=0.83 ), and WI ( R^{2}=0.83 ) are better indices to retrieve the salinization information and the WI-SI point to line (soil line) model( R^{2}=0.88 ), the Albedo-SI point to line (wet line) model( R^{2}=0.87 ) and the Albedo- I_{\mathrm {Fe2O3}} point to point model( R^{2}=0.86 ) have better applicability to monitor the salinization condition in the Yellow River Delta. The research results can provide technical method reference for salinization monitoring of other regions.