Spatial distribution of soils by salinization level in Soligorsk district of Belarus

The article discusses the problem of soil salinization in the Soligorsk region of Belarus and emphasizes the importance of monitoring the level of soil salinization. Methods of using Sentinel-2 satellite data to assess the spatial differentiation of soil salinization are presented. Based on soil information, the causes and risks of soil salinization are studied, geographical and environmental characteristics of the territory of Soligorsk district are briefly described. Analysis of methodological principles of Sentinel-2 satellite use for soil salinization assessment and monitoring is presented, taking into account the choice of monitoring indicators and data processing methods. Results of a spatial assessment of temporal and spatial variability of soil salinity level are presented. Measures to improve the environmental situation and recommendations on soil salinization management are proposed.

1. Sahbeni G., Ngabireet M., Musyimi P., Székely B. Challenges and Opportunities in Remote Sensing for Soil Salinization Mapping and Monitoring: A Review. Remote Sensing, 2023, vol. 15, iss.10, pp. 25–40.

2. Allbed A., Kumar L., Aldakheel Y. Y. Assessing soil salinity using soil salinity and vegetation indices derived from IKONOS high-spatial resolution imageries: Applications in a date palm dominated region. Geoderma, 2014, 230–231, pp. 1–8.

3. Bouaziz M., Matschullat J., Gloaguen R. Improved remote sensing detection of soil salinity from a semi-arid climate in Northeast Brazil. Comptes Rendus Geoscience, 2011, 343:795–803.

4. Csillag F., Pásztor L., Biehl L. L. Spectral band selection for the characterization of salinity status of soils. Remote Sensing of Environment, 1993, vol. 43, iss. 3, pp. 231–242.

5. Shang R., Zhu Z. Harmonizing Landsat 8 and Sentinel-2: A time-series-based reflectance adjustment approach. Remote Sensing of Environment, 2019, vol. 235. Р. 111439.

6. Wang Z., Zhang F., Zhang X., Chan N. W., Kung H., Zhou X., Wang Y. Quantitative Evaluation of Spatial and Temporal Variation of Soil Salinization Risk Using GIS-Based Geostatistical Method. Remote Sensing, 2020, vol. 12, iss. 15. P. 2405.

7. Zhang Z., Niu B., Li X., Kang X., Hu Z. Estimation and Dynamic Analysis of Soil Salinity Based on UAV and Sentinel-2A Multispectral Imagery in the Coastal Area, China. Land, 2022, vol. 11, iss. 12. P. 2307.

8. Ali A., Martelli R., Lupia F., Barbanti L. Assessing Multiple Years’ Spatial Variability of Crop Yields Using Satellite Vegetation Indices. Remote Sensing, 2019, vol. 11, iss. 20. P. 2384.

9. Zhang J., Zhang Z., Chen J., Chen H., Jin J., Han J., Wang X., Song Z ., Wei G. Estimating soil salinity with different fractional vegetation cover using remote sensing. Land Degradation & Development, 2021, vol. 32, iss. 2, pp. 597–612.

10. Guo S., Xia Y., Wan H., Shang S. Characterizing the spatiotemporal evolution of soil salinization in Hetao Irrigation District (China) using a remote sensing approach. International Journal of Remote Sensing, 2018, vol. 39, no. 20, pp. 6805–6825.

11. Xu H., Chen Ch., Zheng H., Luo G., Yang L., Wang W., Wu Sh., Ding J. AGA-SVR-based selection of feature subsets and optimization of parameter in regional soil salinization monitoring. International Journal of Remote Sensing, 2020, vol. 41, no. 12, pp. 4470–4495.

12. Khairulina E. A., Khomich V. S., Liskova M. Yu. Geoecological problems of developing potassium salt deposits. News of Tula University. Geosciences, 2018, vol. 2, pp. 112–126 (in Russian).

13. Chervan A. M., Ustinova A. M., Tsyrybko V. B. Spatiotemporal Changes of Soil Salinization in the Soligorsk Mining Region. Eurasian Soil Science, 2019, vol. 52, no. 8, pp. 998–1006.

14. Celleri C., Zapperi G., González Trilla G., Pratolongo P. Assessing the capability of broadband indices derived from Landsat 8 Operational Land Imager to monitor above ground biomass and salinity in semiarid saline environments of the Bahía Blanca Estuary, Argentina. International Journal of Remote Sensing, 2019, vol. 40, no. 12, pp. 4817–4838.

15. Peng J., Biswas A., Jiang Q., Zhao R., Hu J., Hu B., Shi Z. Estimating soil salinity from remote sensing and terrain data in southern Xinjiang Province, China. Geoderma, 2019. vol. 337, pp. 1309–1319.

16. Wang, F., Ding J., Wei Y., Zhou Q.-qian, Xiaodong Y., Wang Q.-feng. Sensitivity Analysis of Soil Salinity and Vegetation Indices to Detect Soil Salinity Variation by Using Landsat Series Images: Applications in Different Oases in Xinjiang, China. Acta Ecologica Sinica, 2017, vol. 37, no. 15, pp. 5007–5022 (in Chinese).

17. Guo B., Yang F., Fan Y., Han B., Chen Sh., Yang W. Dynamic monitoring of soil salinization in Yellow River Delta utilizing MSAVI–SI feature space models with Landsat images. Environmental Earth Sciences, 2019, vol. 78, no. 10. Р. 308.

18. Dehni A., Lounis M. Remote Sensing Techniques for Salt Affected Soil Mapping: Application to the Oran Region of Algeria. Procedia Engineering, 2012, vol. 33, pp.188–198.

19. Allbed A., Kumar L., Sinha P. Mapping and Modelling Spatial Variation in Soil Salinity in the Al Hassa Oasis Based on Remote Sensing Indicators and Regression Techniques. Remote Sensing, 2014, vol. 6, no. 2, pp. 1137–1157.

20. Crist E. P. A TM Tasseled Cap equivalent transformation for reflectance factor data. Remote Sensing of Environment, 1985, vol. 17, no. 3, pp. 301–306.

21. Li Y., Ding J., Sun Y. Remote Sensing Monitoring Models of Soil Salinization Based on the Three Dimensional Feature Space of MSAVI-WI-SI. Research of Soil and Water Conservation, 2015, vol. 22, no. 4, pp. 117–121 (in Chinese).

22. Liang S. Narrowband to broadband conversions of land surface albedo I. Remote Sensing of Environment, 2001, vol. 76, no. 2, pp. 213–238.