Applicability of Landsat TM Images to Detect Soil Salinity of Coastal Areas in Bangladesh

  • Jannatul FerdousEmail author
  • M. Tauhid Ur Rahman
Conference paper
Part of the Advances in Science, Technology & Innovation book series (ASTI)


Soil salinity is one of the most important controlling factors in agricultural production. For an agrarian country like Bangladesh, it is vital to map the saline affected area and keep track of changes. It would be very convenient if the conventional time consuming method of detection soil salinity could be replaced with the application of remote sensing indices. So this study aimed to evaluate the applicability of Landsat 5 TM images, both level 1 and 2 for detecting saline affected areas of Coastal Bangladesh. Seventeen indices were used and compared with the field salinity data collected from SRDI. The R2 values reveal no significant correlation between the aforementioned indices and soil data. So this study concluded that Landsat TM images cannot be used to detect soil salinity in Coastal Bangladesh.


Landsat TM Level 1 product Level 2 product Salinity indices Soil salinity 


  1. 1.
    Ivushkin, K., Bartholomeus, H., Bregt, A.K., Pulatov, A.: Satellite thermography for soil salinity assessment of cropped areas in Uzbekistan. Land Degrad. Dev. 28, 870–877 (2017)CrossRefGoogle Scholar
  2. 2.
    Morshed, M.M., Islam, M.T., Jamil, R.: Soil salinity detection from satellite image analysis: an integrated approach of salinity indices and field data. Environ. Monit. Assess. 188, 119 (2016)CrossRefGoogle Scholar
  3. 3.
    Li, D.J., Chun, W.M., Tiyip, T.: Study on soil salinization information in arid region using remote sensing technique. Agric. Sci. China 10(3), 404–411 (2011)CrossRefGoogle Scholar
  4. 4.
    Al-Khaier, F.: Soil salinity detection using satellite remote sensing. M.Sc. thesis, International Institute for Geoinformation Science and Earth Observation (2003)Google Scholar
  5. 5.
    Nwer, B., Zurqani, H., Rhoma, E.: The use of remote sensing and geographic information system for soil salinity monitoring in Libya. GSTF Int. J. Geol. Sci. 1(1), 1–5 (2013)Google Scholar
  6. 6.
    Azabdaftari, A., Sunarb, F.: Soil salinity mapping using multitemporal landsat data. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7, XXIII ISPRS Congress, Prague, Czech Republic (2016)Google Scholar
  7. 7.
    Matinfar, H.R., Panah, S.K.A., Zand, F., Khodaei, K.: Detection of soil salinity changes and mapping land cover types based upon remotely sensed data. Arab. J. Geosci. 6(3), 913–919 (2011)Google Scholar
  8. 8.
    Elhag, M.: Evaluation of different soil salinity mapping using remote sensing techniques in arid ecosystems, Saudi Arabia. J. Sens. 2016 (2016)Google Scholar
  9. 9.
    Asfaw, E., Suryabhagavan, K.V., Argaw, M.: Soil salinity modeling and mapping using remote sensing and GIS: the case of Wonji sugar cane irrigation farm, Ethiopia. J. Saudi Soc. Agric. Sci. 17(3), 250–258 (2018)Google Scholar
  10. 10.
    Nawar, S., Buddenbaum, H., Hill, J., Kozak, J.: Modeling and mapping of soil salinity with reflectance spectroscopy and landsat data using two quantitative methods (PLSR and MARS). Remote Sens. 6, 10813–10834 (2014)CrossRefGoogle Scholar
  11. 11.
    Ministry of Water Resources. Coastal Zone Policy. Last accessed 2018/03/20 (2005)
  12. 12.
    Rahmati, M., Mohammadi-Oskooei, M., Neyshabouri, M.R., Fakheri-Fard, A., Ahmadi, A., Walker, J.: ETM+ data applicability for remote sensing of soil salinity in Lighvan watershed, Northwest of Iran. Curr. Opin. Agric. 3(1), 10–13 (2014)Google Scholar
  13. 13.
    Panah, S.K.A., Pouyafar, A.M.: Potentials and constraints of soil salinity studies in two different conditions of Iran using Landsat TM data. Last accessed 2018/03/23

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Civil EngineeringMilitary Institute of Science and TechnologyDhakaBangladesh

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