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Assessment of Soil Salinization Risk by Remote Sensing-Based Ecological Index (RSEI) in the Bosten Lake Watershed, Xinjiang in Northwest China

Author

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  • Jiawen Hou

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
    Key Laboratory of Oasis Ecology Ministry of Education, Xinjiang University, Urumqi 830046, China)

  • Yusufujiang Rusuli

    (Institute of Geography and Tourism, Xinjiang Normal University, Urumqi 830054, China)

Abstract

Accurate real-time information about the spatial and temporal dynamics of soil salinization is crucial for preventing the aggravation of salinization and achieving sustainable development of the ecological environment. With the Bosten Lake watershed as the study area, in this study, the regional risk factors of soil salinization were identified, the salinization information was extracted, and the remote sensing-based ecological index (RSEI) of soil salinization was assessed through the combined use of remote sensing (RS) and geographic information system (GIS) techniques and measurements of soils samples collected from various field sites. The results revealed that (1) a four period (1990, 2000, 2010, and 2020) RS dataset on soil salinization allowed for the accurate classification of the land use/land cover types, with an overall classification accuracy of greater than 90% and kappa values of >0.90, and the salt index (SI), an RS-derived risk factor of soil salinization, was significantly correlated with the actual measured salt content of the surface soils. (2) The RS-derived elevation and normalized difference vegetation index (NDVI) were significantly correlated with the SI-T. (3) An integrated risk assessment model was constructed for the soil salinization risk in the Bosten Lake watershed, which calculated the integrated risk index values and classified them into four risk levels: low risk, medium risk, high risk, and extremely high risk. (4) Due to the combined effect of the surface water area and terrain, the soil salinization risk gradually decreased from the lake to the surrounding areas, while the corresponding spatial range increased in order of decreasing risk. The areas with different levels of soil salinization risk in the study area during the last 30 years were ranked in decreasing order of medium risk > high risk > extremely high risk > low risk. These findings provide theoretical support for preventing and controlling soil salinization and promoting agricultural production in the study area.

Suggested Citation

  • Jiawen Hou & Yusufujiang Rusuli, 2022. "Assessment of Soil Salinization Risk by Remote Sensing-Based Ecological Index (RSEI) in the Bosten Lake Watershed, Xinjiang in Northwest China," Sustainability, MDPI, vol. 14(12), pages 1-16, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7118-:d:835667
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    References listed on IDEAS

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    1. Jing Liu & Li Zhang & Tong Dong & Juanle Wang & Yanmin Fan & Hongqi Wu & Qinglong Geng & Qiangjun Yang & Zhibin Zhang, 2021. "The Applicability of Remote Sensing Models of Soil Salinization Based on Feature Space," Sustainability, MDPI, vol. 13(24), pages 1-16, December.
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