Soil salinity detection from satellite image analysis: an integrated approach of salinity indices and field data

Abstract

This paper attempts to detect soil salinity from satellite image analysis using remote sensing and geographic information system. Salinity intrusion is a common problem for the coastal regions of the world. Traditional salinity detection techniques by field survey and sampling are time-consuming and expensive. Remote sensing and geographic information system offer economic and efficient salinity detection, monitoring, and mapping. To predict soil salinity, an integrated approach of salinity indices and field data was used to develop a multiple regression equation. The correlations between different indices and field data of soil salinity were calculated to find out the highly correlated indices. The best regression model was selected considering the high R (2) value, low P value, and low Akaike's Information Criterion. About 20% variation was observed between the field data and predicted EC from the satellite image analysis. The precision of this salinity detection technique depends on the accuracy and uniform distribution of field data.

Review of soil salinity assessment for agriculture across multiple scales using proximal and/or remote sensors

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Assessing the Long-Term Evolution of Abandoned Salinized Farmland via Temporal Remote Sensing Data

“…With the rapid development of remote sensing technology, many efforts have been made to classify the land-cover type and degree of soil salinity using mono-temporal and time-series remote sensing products [7][8][9][10][11][12]. In general, methods for land-cover classification can be split into two groups: (1) spectrum-based approaches; and (2) visual-based approaches.…”

“…Strong saline soil shows higher reflectance in the visible and NIR wavelength ranges than less salt-affected areas [11]. Utilizing the reflection characteristics of saline soil, various soil salinity indices (SI) have been designed to assess the degree of soil salinity [12,25,26]. The SI is preferred to quantify the soil salinity in uncropped areas to bypass the influence of vegetation, indicating that it has a limited ability to detect abandoned salinized farmland.…”

Retrieval of soil salinity from Sentinel-2 multispectral imagery

“…Using the potential of satellite data and remote sensing techniques, it becomes possible to monitor soil salinity more efficiently and more economically (Allbed & Kumar, 2013;Garcia, Eldeiry, & Elhaddad, 2005;Morshed, Islam, & Jamil, 2016;Taghadosi, Hasanlou, & Eftekhari, 2018). Determining the spectral characteristics of saline surface soils and the spatial distribution of affected areas can be achieved by analyzing data from newly launched satellites with good spatial and spectral resolution, which helps to map salinity over large scales and with high accuracy.…”