Soil Salinity Mapping Using Satellite Remote Sensing and In-Situ Measurements

Abstract

Coastal areas of Bangladesh are being affected by climate change over the past four  decades, and has become an escalating and notable issue in recent time. At the same  time, the problem of soil salinity poses a considerable obstacle to crop production in  the coastal regions of Bangladesh. Subsequently, conducting a soil salinity assessment  is crucial for effective land use planning in agricultural crop production. Therefore, the  aim of this research is to employ satellite remote sensing data to map soil salinity. For  this study, observed electrical conductivity (EC) data are collected from SRDI, Khulna  and four soil salinity (SI) indices are extracted using Landsat 8 Operational Land  Imager (OLI) data from USGS Earth Explorer. According to the observed EC data, the  maximum and minimum values represent the month of May 2023 and October 2022  respectively for all of the sites. The correlation coefficient between the observed EC  and satellite-derived indices is more than 61% for maximum cases. Also, correlation  coefficients fit better for Jalma and Batiaghata unions. The remote sensing indices have  shown better performance in our present study. It can be inferred that the utilized soil  salinity indices effectively identified the levels of soil salinity for this study. 

J. of Sci. and Tech. Res. 6(2): 43-53, 2025