Detection of the Spatial Variability of Soil Salinity East of the Bitter Lake of the Suez Canal, Egypt, as a Basis for Management Zones Using Sentinel-2 Multispectral Imagery

References

• Abbas, A., and S. Khan. 2007. Using remote sensing techniques for appraisal of irrigated soil salinity. In International Congress on Modelling and Simulation (MODSIM): Land, water and environmental management integrated systems for sustainability, ed. L. Oxley and D. Kulasiri, 2632–38. Christchurch, New Zealand: Modeling and Simulation Society of Australia and New Zealand.
   Google Scholar
• Abbas, A., S. Khan, N. Hussain, M. A. Hanjra, and S. Akbar. 2013. Characterizing soil salinity in irrigated agriculture using a remote sensing approach. Physics and Chemistry of the Earth, Parts A/B/C 55:43–52. doi:10.1016/j.pce.2010.12.004.
   Web of Science ®Google Scholar
• Abdennour, M. A., A. Douaoui, J. Barrena, M. Pulido, A. Bradaï, A. Bennacer, C. Piccini, and A. Alfonso-Torreno. 2021. Geochemical characterization of the salinity of irrigated soils in arid regions (Biskra, SE Algeria). Acta Geochimica 40:234–50. doi:10.1007/s11631-020-00426-2.
   Web of Science ®Google Scholar
• Abdennour, M. A., A. Douaoui, C. Piccini, M. Pulido, A. Bennacer, A. Bradaï, J. Barrena, and I. Yahiaoui. 2020. Predictive mapping of soil electrical conductivity as a Proxy of soil salinity in south-east of Algeria. Environmental and Sustainability Indicators 8:100087. doi:10.1016/j.indic.2020.100087.
   Google Scholar
• Afrasinei, G. M., M. T. Melis, C. Buttau, J. M. Bradd, C. Arras, and G. Ghiglieri. 2017. Assessment of remote sensing-based classification methods for change detection of salt-affected areas (Biskra area, Algeria). Journal of Applied Remote Sensing 11 (1):016025. doi:10.1117/1.JRS.11.016025.
   Google Scholar
• Akramkhanov, A., C. Martius, S. J. Park, and J. M. H. Hendrickx. 2011. Environmental factors of spatial distribution of soil salinity on flat irrigated terrain. Geoderma 163 (1–2):55–62. doi:10.1016/j.geoderma.2011.04.001.
   Web of Science ®Google Scholar
• Ali, A. M., and S. M. Ibrahim. 2020. Establishment of soil management zones using multivariate analysis and GIS. Communications in Soil Science & Plant Analysis 51 (19):2491–500. doi:10.1080/00103624.2020.1836207.
   Web of Science ®Google Scholar
• Allbed, A., and L. Kumar. 2013. Soil salinity mapping and monitoring in arid and semi-arid regions using remote sensing technology: A review. Advances in Remote Sensing 02(04):373–85. 2013. doi:10.4236/ars.2013.24040.
   Google Scholar
• Behera, S. K., R. K. Mathur, A. K. Shukla, K. Suresh, and C. Prakash. 2018. Spatial variability of soil properties and delineation of soil management zones of oil palm plantations grown in a hot and humid tropical region of southern India. Catena 165:251–59. doi:10.1016/j.catena.2018.02.008.
   Web of Science ®Google Scholar
• Bilgili, A. V., M. A. Cullu, H. van Es, A. Aydemir, and S. Aydemir. 2011. The use of hyperspectral visible and near infrared reflectance spectroscopy for the characterization of salt-affected soils in the Harran Plain, Turkey. Arid Land Research and Management 25 (1):19–37. doi:10.1080/15324982.2010.528153.
   Web of Science ®Google Scholar
• Bouaziz, M., J. Matschullat, and R. Gloaguen. 2011. Improved remote sensing detection of soil salinity from a semi-arid climate in Northeast Brazil. Comptes Rendus Geoscience 343 (11–12):795–803. doi:10.1016/j.crte.2011.09.003.
   Web of Science ®Google Scholar
• Brunner, P. H. T. L., H. T. Li, W. Kinzelbach, and W. P. Li. 2007. Generating soil electrical conductivity maps at regional level by integrating measurements on the ground and remote sensing data. International Journal of Remote Sensing 28 (15):3341–61. doi:10.1080/01431160600928641.
   Web of Science ®Google Scholar
• Chang, J., D. E. Clay, C. G. Carlson, S. A. Clay, and C. L. Reese. 2000. The influence of different approaches for identifying inorganic N and P management zones on fertilizer recommendation. Proceedings of the 5th International Conference on Precision Agriculture, Bloomington, Minnesota, USA, American Society of Agronomy July 16-19, 2000. (pp. 1–10).
   Google Scholar
• Corwin, D. L., and E. Scudiero. 2019. Review of soil salinity assessment for agriculture across multiple scales using proximal and/or remote sensors. Advances in Agronomy 158:1–130. Academic Press.
   Web of Science ®Google Scholar
• Dehaan, R. L., and G. R. Taylor. 2002. Field-derived spectra of salinized soils and vegetation as indicators of irrigation-induced soil salinization. Remote Sensing of Environment 80 (3):406–17. doi:10.1016/S0034-4257(01)00321-2.
   Web of Science ®Google Scholar
• Doerge, T. 1999. Defining management zones for precision farming. Crop Insights 8 (21):1–5.
   Google Scholar
• Douaoui, A. E. K., H. Nicolas, and C. Walter. 2006. Detecting salinity hazards within a semiarid context by means of combining soil and remote-sensing data. Geoderma 134 (1–2):217–30. doi:10.1016/j.geoderma.2005.10.009.
   Web of Science ®Google Scholar
• Drusch, M., U. Del Bello, S. Carlier, O. Colin, V. Fernandez, F. Gascon, B. Hoersch, C. Isola, P. Laberinti, P. Martimort, et al. 2012. Sentinel-2: ESA’s optical high-resolution mission for GMES operational services. Remote Sensing of Environment 120:25–36. doi:10.1016/j.rse.2011.11.026.
   Web of Science ®Google Scholar
• El Harti, A., R. Lhissou, K. Chokmani, J. E. Ouzemou, M. Hassouna, E. M. Bachaoui, and A. El Ghmari. 2016. Spatiotemporal monitoring of soil salinization in irrigated Tadla Plain (Morocco) using satellite spectral indices. International Journal of Applied Earth Observation and Geoinformation 50:64–73. doi:10.1016/j.jag.2016.03.008.
   Web of Science ®Google Scholar
• Fan, X., Y. Liu, J. Tao, and Y. Weng. 2015. Soil salinity retrieval from advanced multi-spectral sensor with partial least square regression. Remote Sensing 7 (1):488–511. doi:10.3390/rs70100488.
   Web of Science ®Google Scholar
• Farifteh, J., F. Van der Meer, M. Van der Meijde, and C. Atzberger. 2008. Spectral characteristics of salt-affected soils: A laboratory experiment. Geoderma 145 (3–4):196–206. doi:10.1016/j.geoderma.2008.03.011.
   Web of Science ®Google Scholar
• Ferguson, R. B., R. M. Lark, and G. P. Slater. 2003. Approaches to management zone definition for use of nitrification inhibitors. Soil Science Society of America Journal 67 (3):937–47. doi:10.2136/sssaj2003.9370.
   Web of Science ®Google Scholar
• Fernandez-Buces, N., C. Siebe, S. Cram, and J. L. Palacio. 2006. Mapping soil salinity using a combined spectral response index for bare soil and vegetation: A case study in the former lake Texcoco, Mexico. Journal of Arid Environments 65 (4):644–67. doi:10.1016/j.jaridenv.2005.08.005.
   Web of Science ®Google Scholar
• Fleming, K. L., D. G. Westfall, and W. C. Bausch. 2000. Evaluating management zone technology and grid soil sampling for variable rate nitrogen application. Proceedings of the 5th International Conference on Precision Agriculture. (pp. 16–19). Madison, WI, The American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America.
   Google Scholar
• Fraisse, C. W., K. A. Sudduth, and N. R. Kitchen. 2001. Delineation of site-specific management zones by unsupervised classification of topographic attributes and soil electrical conductivity. Transactions of the ASAE 44 (1):155. doi:10.13031/2013.2296.
   Google Scholar
• Franzen, D. W., A. D. Halvorson, and V. L. Hofman. 2000. Management zones for soil N and P levels in the Northern Great Plains. Proceedings of the 5th International Conference on Precision Agriculture, Bloomington, Minnesota, USA, American Society of Agronomy. July 16-19, 2000. (pp. 1–10).
   Google Scholar
• Franzen, D. W., D. H. Hopkins, M. D. Sweeney, M. K. Ulmer, and A. D. Halvorson. 2002. Evaluation of soil survey scale for zone development of site‐specific nitrogen management. Agronomy Journal 94 (2):381–89. doi:10.2134/agronj2002.3810.
   Web of Science ®Google Scholar
• Franzen, D. W., and N. R. Kitchen. 1999. Developing management zones to target nitrogen applications. Online. In Site specific management guidelines No. 5 (SSMG 5), ed. D. E. Clay. Norcross, GA: Potash and Phosphate Institute.
   Google Scholar
• Garcia, L., A. Eldeiry, and A. Elhaddad. 2005. Estimating soil salinity using remote sensing data. Proceedings for the 2005 Central Plains Irrigation Conference, Sterling, Colorado, February 16-17. Colorado State University. Libraries.
   Google Scholar
• Gates, T. K., J. P. Burkhalter, J. W. Labadie, J. C. Valliant, and I. Broner. 2002. Monitoring and modeling flow and salt transport in a salinity-threatened irrigated valley. Journal of Irrigation & Drainage Engineering 128 (2):87–99. doi:10.1061/(ASCE)0733-9437(2002)128:2(87).
   Web of Science ®Google Scholar
• Gorji, T., E. Sertel, and A. Tanik. 2017. Monitoring soil salinity via remote sensing technology under data scarce conditions: A case study from Turkey. Ecological Indicators 74:384–91. doi:10.1016/j.ecolind.2016.11.043.
   Web of Science ®Google Scholar
• Gorji, T., A. Tanik, and E. Sertel. 2015. Soil salinity prediction, monitoring and mapping using modern technologies. Procedia Earth and Planetary Science 15:507–12. doi:10.1016/j.proeps.2015.08.062.
   Google Scholar
• Gorji, T., A. Yildirim, N. Hamzehpour, A. Tanik, and E. Sertel. 2020. Soil salinity analysis of Urmia Lake Basin using Landsat-8 OLI and Sentinel-2A based spectral indices and electrical conductivity measurements. Ecological Indicators 112:106173. doi:10.1016/j.ecolind.2020.106173.
   Web of Science ®Google Scholar
• Gorji, T., A. Yildirim, N. Hamzehpour, A. Tanik, and E. Sertel. 2020. Soil salinity analysis of Urmia Lake Basin using Landsat-8 OLI and Sentinel-2A based spectral indices and electrical conductivity measurements. Ecological indicators 112:106173.
   Web of Science ®Google Scholar
• Haghverdi, A., B. G. Leib, R. A. Washington-Allen, P. D. Ayers, and M. J. Buschermohle. 2015. Perspectives on delineating management zones for variable rate irrigation. Computers and Electronics in Agriculture 117:154–67. doi:10.1016/j.compag.2015.06.019.
   Web of Science ®Google Scholar
• Khosla, R., K. Fleming, J. A. Delgado, T. M. Shaver, and D. G. Westfall. 2002. Use of site-specific management zones to improve nitrogen management for precision agriculture. Journal of Soil and Water Conservation 57 (6):513–18.
   Web of Science ®Google Scholar
• Khosla, R., D. Inman, D. G. Westfall, R. M. Reich, M. Frasier, M. Mzuku, B. Koch, and A. Hornung. 2008. A synthesis of multi-disciplinary research in precision agriculture: Site-specific management zones in the semi-arid western Great Plains of the USA. Precision Agriculture 9 (1–2):85–100. doi:10.1007/s11119-008-9057-1.
   Web of Science ®Google Scholar
• Kitchen, N. R., K. A. Sudduth, D. B. Myers, S. T. Drummond, and S. Y. Hong. 2005. Delineating productivity zones on claypan soil fields using apparent soil electrical conductivity. Computers and Electronics in Agriculture 46 (1–3):285–308. doi:10.1016/j.compag.2004.11.012.
   Web of Science ®Google Scholar
• Koch, B., R. Khosla, W. M. Frasier, D. G. Westfall, and D. Inman. 2004. Economic feasibility of variable‐rate nitrogen application utilizing site‐specific management zones. Agronomy Journal 96 (6):1572–80. doi:10.2134/agronj2004.1572.
   Web of Science ®Google Scholar
• Kumar, S., G. Gautam, and S. K. Saha. 2015. Hyperspectral remote sensing data derived spectral indices in characterizing salt-affected soils: A case study of Indo-Gangetic plains of India. Environmental Earth Sciences 73 (7):3299–308. doi:10.1007/s12665-014-3613-y.
   Web of Science ®Google Scholar
• Loague, K., and R. E. Green. 1991. Statistical and graphical methods for evaluating solute transport models: Overview and application. Journal of Contaminant Hydrology 7 (1–2):51–73. doi:10.1016/0169-7722(91)90038-3.
   Google Scholar
• Metternicht, G., and A. Zinck, eds. 2008. Remote sensing of soil salinization: Impact on land management. CRC Press. 10.1201/9781420065039
   Google Scholar
• Metternicht, G. I., and J. A. Zinck. 2003. Remote sensing of soil salinity: Potentials and constraints. Remote Sensing of Environment 85 (1):1–20. doi:10.1016/S0034-4257(02)00188-8.
   Web of Science ®Google Scholar
• Minhas, P. S., T. B. Ramos, A. Ben-Gal, and L. S. Pereira. 2020. Coping with salinity in irrigated agriculture: Crop evapotranspiration and water management issues. Agricultural Water Management 227:105832. doi:10.1016/j.agwat.2019.105832.
   Web of Science ®Google Scholar
• Mohamed, E. S., A. M. Saleh, A. B. Belal, and A. Gad. 2018. Application of near-infrared reflectance for quantitative assessment of soil properties. The Egyptian Journal of Remote Sensing & Space Science 21 (1):1–14. doi:10.1016/j.ejrs.2017.02.001.
   Web of Science ®Google Scholar
• Morshed, M. M., M. T. Islam, and R. Jamil. 2016. Soil salinity detection from satellite image analysis: An integrated approach of salinity indices and field data. Environmental Monitoring and Assessment 188:1–10. doi:10.1007/s10661-015-5045-x.
   PubMed Web of Science ®Google Scholar
• Nachshon, U. 2018. Cropland soil salinization and associated hydrology: Trends, processes and examples. Water 10 (8):1030. doi:10.3390/w10081030.
   Web of Science ®Google Scholar
• Nanni, M. R., and J. A. M. Demattê. 2006. Spectral reflectance methodology in comparison to traditional soil analysis. Soil Science Society of America Journal 70 (2):393–407. doi:10.2136/sssaj2003.0285.
   Web of Science ®Google Scholar
• Nawar, S., R. Corstanje, G. Halcro, D. Mulla, and A. M. Mouazen. 2017. Delineation of soil management zones for variable-rate fertilization: A review. Advances in Agronomy 143:175–245. Academic Press.
   Web of Science ®Google Scholar
• Okur, B., and N. Örçen. 2020. Soil salinization and climate change. In Climate change and soil interactions, 331–50. Elsevier. 10.1016/B978-0-12-818032-7.00012-6
   Google Scholar
• Peng, J., A. Biswas, Q. Jiang, R. Zhao, J. Hu, B. Hu, and Z. Shi. 2019. Estimating soil salinity from remote sensing and terrain data in southern Xinjiang Province, China. Geoderma 337:1309–19. doi:10.1016/j.geoderma.2018.08.006.
   Web of Science ®Google Scholar
• Pérez-Sirvent, C., M. J. Martınez-Sanchez, J. Vidal, and A. Sánchez. 2003. The role of low-quality irrigation water in the desertification of semi-arid zones in Murcia, SE Spain. Geoderma 113 (1–2):109–25. doi:10.1016/S0016-7061(02)00334-8.
   Web of Science ®Google Scholar
• Rhoades, J. D., and J. Loveday. 1990. Salinity in irrigated agriculture. Agronomy 30:1089–142.
   Google Scholar
• Schepers, A. R., J. F. Shanahan, M. A. Liebig, J. S. Schepers, S. H. Johnson, and A. Luchiari Jr. 2004. Appropriateness of management zones for characterizing spatial variability of soil properties and irrigated corn yields across years. Agronomy Journal 96 (1):195–203. doi:10.2134/agronj2004.1950.
   Web of Science ®Google Scholar
• Shukla, A. K., N. K. Sinha, P. K. Tiwari, C. Prakash, S. K. Behera, N. K. Lenka, V. K. Singh, B. S. Dwivedi, K. Majumdar, A. Kumar, et al. 2017. Spatial distribution and management zones for sulphur and micronutrients in Shiwalik Himalayan Region of India. Land Degradation & Development 28 (3):959–69. doi:10.1002/ldr.2673.
   Web of Science ®Google Scholar
• Sparks, D. L., A. L. Page, P. A. Helmke, Loeppert, R.H., eds. 2020. Methods of soil analysis, part 3: Chemical methods. Vol. 14. Hoboken, New Jersey: John Wiley and Sons.
   Google Scholar
• Stafford, J. V., R. M. Lark, and H. C. Bolam. 1999. January. Using yield maps to regionalize fields into potential management units. Proceedings of the Fourth International Conference on Precision Agriculture. (pp. 225–37). Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America.
   Google Scholar
• Sudduth, K. A., N. R. Kitchen, D. F. Hughes, and S. T. Drummond. 1995. September. Electromagnetic induction sensing as an indicator of productivity on claypan soils. In Site‐specific management for agricultural systems, 671–81. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America. 10.2134/1995.site-specificmanagement.c49.
   Google Scholar
• Taghadosi, M. M., M. Hasanlou, and K. Eftekhari. 2019. Retrieval of soil salinity from Sentinel-2 multispectral imagery. European Journal of Remote Sensing 52 (1):138–54. doi:10.1080/22797254.2019.1571870.
   Web of Science ®Google Scholar
• Tripathi, R., A. K. Nayak, M. Shahid, B. Lal, P. Gautam, R. Raja, S. Mohanty, A. Kumar, B. B. Panda, and R. N. Sahoo. 2015. Delineation of soil management zones for a rice cultivated area in eastern India using fuzzy clustering. Catena 133:128–36. doi:10.1016/j.catena.2015.05.009.
   Web of Science ®Google Scholar
• Vrindts, E., A. M. Mouazen, M. Reyniers, K. Maertens, M. R. Maleki, H. Ramon, and J. De Baerdemaeker. 2005. Management zones based on correlation between soil compaction, yield and crop data. Biosystems Engineering 92 (4):419–28. doi:10.1016/j.biosystemseng.2005.08.010.
   Web of Science ®Google Scholar
• Wang, J., J. Ding, D. Yu, X. Ma, Z. Zhang, X. Ge, D. Teng, X. Li, J. Liang, I. Lizaga, et al. 2019. Capability of Sentinel-2 MSI data for monitoring and mapping of soil salinity in dry and wet seasons in the Ebinur Lake region, Xinjiang, China. Geoderma 353:172–87. doi:10.1016/j.geoderma.2019.06.040.
   Web of Science ®Google Scholar
• Willmott, C. J. 1981. On the validation of models. Physical Geography 2 (2):184–94. doi:10.1080/02723646.1981.10642213.
   Google Scholar
• Yu, H., M. Liu, B. Du, Z. Wang, L. Hu, and B. Zhang. 2018. Mapping soil salinity/sodicity by using Landsat OLI imagery and PLSR algorithm over semiarid West Jilin Province, China. Sensors 18 (4):1048. doi:10.3390/s18041048.
   PubMed Web of Science ®Google Scholar