Open Access

Long-Term Monitoring and Assessment of Soil Salinity in Türkiye Using Landsat Data (1984-2024)

1 Malatya Turgut Özal University, Faculty of Agriculture, Department of Soil Science and Plant Nutrition, Malatya

Abstract

Soil salinity is one of the most critical environmental stress factors threatening food security and ecosystem functions at the global scale. Since current monitoring methods are generally local-scale and short-term, comprehensive studies revealing long-term salinity dynamics across Türkiye are needed. This research aims to monitor soil salinity and vegetation changes across Türkiye between 1984 and 2024 using Landsat satellite data. In this study, Mann-Kendall and Theil-Sen statistical trend analyses were applied, and the performance of two different masking strategies focusing on agricultural areas (Scenario A) and covering general land cover (Scenario B) in risk detection was compared. Analysis results revealed that during the examined 40-year period, the Salinity Index (SI) showed a decreasing trend while the vegetation index (NDVI) showed an increasing trend across Türkiye, indicating overall improvement. Regionally, improvements associated with drainage works were observed in Central Anatolia and coastal plains, while hotspots carrying secondary salinization risk originating from irrigation projects were detected in the Southeastern Anatolia Region. Additionally, methodological findings demonstrated that the general land cover masking strategy (Scenario B) produced more sensitive results in detecting risk areas compared to the agriculture-focused approach (Scenario A). This study provides policymakers with a science-based decision support tool at the national scale for sustainable land management and climate change adaptation processes.

Keywords

How to Cite

KILIÇ , M. (2026). Long-Term Monitoring and Assessment of Soil Salinity in Türkiye Using Landsat Data (1984-2024). ISPEC Journal of Agricultural Sciences, 10(1), 223–240. https://doi.org/10.5281/zenodo.18502767

References

📄 Abbas, A., Khan, S., Hussain, N., Hanjra, M.A., Akbar, S., 2013. Characterizing soil salinity in irrigated agriculture using a remote sensing approach. Physics and Chemistry of the Earth, 55-57: 43-52.
📄 Akça, E., Aydın, M., Kapur, S., Kume, T., Nagano, T., Watanabe, T., Çilek, A., Zorlu, K., 2020. Long-term monitoring of soil salinity in a semi-arid environment of Turkey. Catena, 193: 104614.
📄 Allbed, A., Kumar, L., Sinha, P., 2014. Mapping and modelling spatial variation in soil salinity in the Al Hassa Oasis based on remote sensing indicators and regression techniques. Remote Sensing, 6(2): 1137-1157.
📄 Amir Latif, R.M., Arshad, A., He, J., Habib Ur-Rahman, M., Mansour, F., Sabagh, A.E., Al-Ashkar, I., 2025. Integrating machine learning with multitemporal remote sensing to quantify spatial soil salinity. The Egyptian Journal of Remote Sensing and Space Sciences, 28(3): 573-586.
📄 Atis, E., 2006. Economic impacts on cotton production due to land degradation in the Gediz Delta, Turkey. Land Use Policy, 23(2): 181-186.