Monitoring of Soil Salinity in Land Destruction Using Remote Sensing Techniques (Ilam Province Case Study)

Document Type : Research Article

Authors

1 PhD Student of Geomorphology, Faculty of Geography and Environmental Planning, Sistan and Baluchestan University, Zahedan, Iran

2 Associate Professor, Dept of Physical Geography, Faculty of Geography and Environmental Planning, University of Sistan and Baluchestan, Zahedan, Iran

3 Professor, Dept of Physical Geography, Faculty of Geography and Environmental Planning, University of Sistan and Baluchestan, Zahedan, Iran.

4 Associate Professor, Dept of Physical Geography, School of Earth Sciences, Shahid Beheshti University, Tehran, Iran

5 Assistant professor, Faculty of Natural Resources and Desert Studies, Yazd University, Iran

Abstract

Soil salinization is one of the dominant processes of land degradation in arid and semi-arid regions.  Soil salinity is one of the most important problems affecting many parts of the world. Salty soils in agricultural areas reduce the annual crop yield of most crops. As a first step, soil sampling and Landsat images are pre-processed. Different salinity indices such as NDSI (normalized salinity index), BI (brightness index) and SI (salinity index) were used to map the salinity of the study area. As well as Laboratory measurements of electrical conductivity (EC) and soil acidity (pH) have also been performed. In this regard, the values of three salinity indices NDSI, BI, SI for 2017, 2015, 2010, 2005, and 2000 were calculated in ENVI and GIS software. Based on the results of satellite imagery analysis, saline soils in the west and southwest of Ilam province (sub-basins of Mehran, Musian-Abdanan, Abbas-west-east and Molab basins) are located. According to field surveys and soil sampling for different areas of Ilam province, it was found that pH values below Mehran basin, south Dehloran and downstream of Simareh Dam are above 8.5 and indicate alkaline and sodium soils. And other examples show unusual, up to slightly salted soil. This means that the results of the remote sensing analyzs partially confirm the data obtained from estimating soil EC and pH values in the study area.

Keywords

Main Subjects


References (in Persian)
Abdizadeh, Saeedeh, Tarang Zare Hamid, Ahmadi Abbas (2014), Evaluation of SI Salinity Index and BI Lighting Index Methods for Soil Salinity Mapping in Arid and Semi-Arid Areas Using Remote Sensing Data, National Sustainable Ecological Conference And Development - May 18, pp. 1-10. [In Persian].
Alavi Panah Seyed Kazem (2003), Application of Remote Sensing in Geosciences, Tehran University Press. Pp. 475-478. [In Persian].
Delavari Kamyab Abolfazl, Verwani Javad, Tarang Zar Hamid and Ahmadi Abbas (2013), Evaluation of BI Salinity Index and NDSI Salinity Index in Soil Salinity Mapping Case Study of Farahan Region, First Conference on Sustainable Agricultural Development Using 24 Bahman Agronomic Model, pp 1-6. [In Persian].
Khodadadi Maral, Askari Mohammad Sadegh, Sarmadian Fereidoun, Rafahi Hosseinkoli, Noroozi Ali Akbar, Heidari     Ahmad and Matinfar Hamid Reza (2009), Mapping of Soils Affected by Salinity Using ETM + Sensor Data in Part of Qazvin Plain, Journal of Engineering and Watershed Management, Volume 1, Number 2, pp. 99-111. [In Persian].
Dashtakian Kazem, Pakparvar Mojtaba and Abdollahi Jalal (1999), Surveying Methods of Soil Salinity Mapping Using Landsat Satellite Data in Marvast Area, Iranian Journal of Range and Desert Research, Volume 15, Number 2, pp. 139- 157. [In Persian].
Matinfar Hamidreza, Zahrnia Alireza (1397), Comparison of Different Indices Extracted from Landsat Satellite Images to Investigate Soil Salinity Changes in Southwest of Khuzestan Province, First International Conference and Third National Conference on Sustainable Soil and Environmental Resources Management 13 and 14 September, pp. 1-8. [In Persian].
Mohammad Ali Meshkouh (1998), a Provisional Method for Evaluation and Preparation of Desertification (UN Food and Agriculture Organization and United Nations Biodiversity Program), Translation, Institute of Forests and Rangelands Research. Pp: 1-15 [In Persian]
 
References (in English)
Ahmadia, A., Kazemi, A., Toranjzarc, H. (2018). Comparison of spectrum indices for mapping soil salinity in saline lands of Chezan plain (Markazi province), J Desert 23-2 (2018) PP 211-220.
Akramkhanov, A., Martius, C., Park, S. J., Hendrickx, J. M. H. (2011). "Environmental factors of spatial distribution of soil salinity on flat irrigated terrain." Geoderma, 163(1-2): pp 55-62.
Allbed, A., Kumar, L. (2013). "Soil salinity mapping and monitoring in arid and semi-arid regions using remote sensing technology: A review." Advances in Remote Sensing (2): pp 373-385.
Allen, J. C., Barnes, D. F. (1985). The causes of deforestation in developing countries, Annals f the Association of American Geographers 75 (2): pp 163–184, 1985.
Asfaw, E., Suryabhagavan, K.V., Argaw, M. (2016). Soil salinity modeling and mapping using remote sensing and GIS: The case of Wonji sugar cane irrigation farm, Ethiopia, Journal of the Saudi Society of Agricultural Sciences, pp:1-9, http://dx.doi.org /10.1016/j.jssas.2016.05.003.
Azabdaftari, A., Sunarb, F. (2016). SOIL SALINITY MAPPING USING MULTITEMPORAL LANDSAT DATA, Remote Sensing and Spatial Information Sciences, Volume XLI-B7, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic, PP 3-9. DOI: 10.5194/isprs-archives-XLI-B7-3-2016.
Bashir, N., Azalarib0, A., Hamdi, Z. (2013). Soil Salinity Mapping Model Developed Using RS and GIS in Libya, Conference: Annual International Conference 7th Edition of Geotunis At: Southern Hammamet, Tunis, https://www. researchgate.net/publication/272886801_Soil_Salinity_Mapping_Model_Developed_Using_RS_and_GIS_in_Libya. Pp 1-4.
Batjes, N. H. (2001). Options for increasing carbon sequestration in West African soils: an explanatory study with special focus on Senegal. Land Degradation & Development 12: pp 131‐142.
Bouaziz, M., Matschullat, J., Gloaguen, R. (2011). Improved remote sensing detection of soil salinity from a semi-arid climate in Northeast Brazil. Comptes Rendus Geoscience. 343. pp795-803.
Chen, H., Gengxing, Z., Yuhuan, L., Danyang, W., Ying, M. (2019). Monitoring the seasonal dynamics of soil salinization in the Yellow River delta of China using Landsat data. Nat. Hazards Earth Syst. Sci., 19, 1499–1508, 2019, pp1500-1508 https://doi.org/10.5194/nhess-19-1499-2019.
Farifteh, J., Farshad, A., George, R. (2006). "Assessing salt-affected soils using remote sensing, solute modelling, and geophysics." Geoderma 130(3): pp 191-206.
Homas, D.S.G., Middleton N.J. (1994). Desertification exploding the myth.Wiley Blackwell.
Huang, J. Y., Shi, Z., Biswas, A. (2015): Characterizing Anisotropic Scale-specific Variations in Soil Salinity from a Reclaimed Marshland in China, Catena, 131, 64–73, https://doi.org/10.1016/j.catena.2015.04.017.
Metternicht, G., Richardson, D., Castree, N., Goodchild, M., Kobayashi, A., Liu, W., Marston, R., John Wiley., Sons. (2017). Soils: Salinization. The International Encyclopedia of Geography, DOI: 10.1002/9781118786352.wbieg1044, pp 1-10.Eds.
Oldeman, L. R., Hakkeling, R. T. A., Sombroek, W. G. (1991). World map of the status of humaninduced soil degradation: an explanatory note. UNEP and ISRIC, Wageningen, the Netherlands.
Safriel, U., Z. Adeel, D. Niemeijer, J. Puigdefabregas, R. White, R. Lal, M. Winslow, J. Ziedler, S. Prince, E. Archer, C. King, B. Shapiro, K. Wessels, T. Nielsen, B. Portnov, I. Reshef, J. Thonell, E. Lachman, and D. McNab. (2005). Dryland systems. In R.M. Hassan, R.J. Scholes & N. Ash (Eds.) Millenium Ecosystem Assessment: Ecosystems and Human Well-being: Current State 1 and Trends: Findings of the Condition and Trends Working Group. Washington, DC: Island Press, PP: 623-662.
Samieea, M., Ghazavia, R., Pakparvarb, M., Valia, A.A. (2018). Mapping spatial variability of soil salinity in a coastal area located in an arid environment using geostatistical and correlation methods based on the satellite data, J Desert 23-2 (2018), pp 233-242.
UNCCD, (1994). United Nations Convention to Combat Desertification in Countries Experiencing Serious Drought And or Desertification, Particularly in Africa, A/AC.241 /27, Paris. http://www.unccd.int/convention /text/pdf/conv‐eng.pdf.
UNU. (2006). International year of deserts and desertification. United Nations University–Institute for Water, Environment and Health, http://inweh.unu.edu/ desert ification06/ (accessed March 15th 2014). 2006.
Vogt, J.V., U. Safriel, G. Von Maltitz, Y. Sokona, R. Zougmore, G. Bastin, and J. Hill. (2011). Monitoring and assessment of land degradation and desertification: Towards new conceptual and integrated approaches, Land Degradation & Development DOI:10.1002/ldr.1075, 2011.
Ward, D., Ngairorue, B. T., Kathena, J., Samuels, R., Ofran, Y. (1998). Land degradation is not a necessary outcome of communal pastoralism in arid Namibia, Journal of Arid Environments 40: pp 357–371, 1998
Yong-Ling, W., Peng, G., Zhi-Liang, Z. H. U. (2010). A Spectral Index for Estimating Soil Salinity in the Yellow River Delta Region of China Using EO-1 Hyperion Data. Pedosphere 20(3): pp 378-388.
Zhao, W., Wei, H., Jia, L., Daryanto, S., Zhang, X., Liu, Y. (2018): Soil erodibility and its influencing factors on the Loess Plateau of China: a case study in the Ansai watershed, Solid Earth, 9, pp 1507–1516, https://doi.org/10.5194/se-9-1507-2018.
  • Receive Date: 01 December 2019
  • Revise Date: 21 November 2020
  • Accept Date: 23 December 2020
  • First Publish Date: 23 December 2020
  • Publish Date: 22 May 2021