Abstract
Abstract. Land salinization is one of the most common land degradation processes. Tongyu county exemplifies all the forms of land degradation in Northeast China and is prone to land salinization due to its fragile physical conditions. In this study, Landsat remote sensing images are adopted to invert surface albedo, MSAVI (modified soil adjusted vegetation index), and salinity index (SI) data. The feature space models of albedo-SI and MSAVI-SI, considering the bare soil and vegetation information respectively, are constructed and compared. Land salinization changes for the period of 1998–2017 are investigated using the salinization monitoring index (SMI) and salinization detection index (SDI) extracted from the feature space models. Our results show that the land salinization situation in Tongyu county have tended to improve, associated with the biological, ecological and engineering means for the degraded land rehabilitation. The feature space models is applicable for the extraction of salinization information, and albedo-SI may evaluate land salinization levels with higher accuracy.
Highlights
Land salinization is one of the most common land degradation processes (UNEP, 1991), which often occurs in arid or semiarid areas (Masoud and Koike, 2006), due to low rainfall, high evapotranspiration rates
The quality of the images was high with a total cloud cover of less than 2%
Atmospheric correction is the process of eliminating the radiation error caused by atmospheric influence and retrieving the true surface reflectance of ground objects (Zheng et al, 2004)
Summary
Land salinization is one of the most common land degradation processes (UNEP, 1991), which often occurs in arid or semiarid areas (Masoud and Koike, 2006), due to low rainfall, high evapotranspiration rates. Land salinization poses threats on ecosystem and environment obviously (Line et al, 2010; Allbed et al, 2014; Peng et al, 2018). Accumulation of soluble salts in the soil is one of the main limiting factors for agriculture. Dynamic monitoring of land salinization by knowing when, where, and how salinity may occur is significant for proper management of soil and water resources (Ding and Yu, 2014; Fan et al, 2015). Albedo and salinity index (SI), modified soil adjusted vegetation index (MSAVI) and Wetness Index (WI), and MSAVI–SI were used to construct different feature space models and quantify the salinization (Ha et al, 2009; Ding et al.,2013; Zhang et al.,2016)
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