2022 Volume 32 Issue 3 Pages 96
Soil salinity is one of the widespread environmental threats all around the world, especially in arid and semi-arid area. Saline soils mainly occur due to inadequate irrigation and extensive agricultural activities, which account for a number of soil degradation processes. Nowadays innovative technologies are widely implemented in agriculture in order to increase yields and monitor any changes occurring in any given areas timely. Advanced technologies such as remote sensing (RS) data have become an economically and efficient tool for assessing, detecting, mapping, and monitoring saline areas along with their spatial and temporal variations.
This study aims to develop spatial database for the evaluation of salinization using RS and GIS. This research employs various soil salinity index calculate based on Landsat 8 OLI images and other related data to the water resources condition of the study area. We conducted a preliminary analysis using six indices (SI2, SI3, SI4, NSI, VSSI, and NDSI) of salinity using Landsat images. Statistical relationship between state developed in-situ based soil salinity map and remote sensing indices: salinity index (SI2), normalized difference salinity index (NDSI) and GIS layers showed that the highest effect on soil salinity and modelling capacity and the highest correlation among all indices. And these data showed mean of the indices value had a good tendency on displaying soil salinity level.
This research will contribute to improving the quality of monitoring and improvement of the state of irrigated lands, and also to develop a preliminary step towards decision making tools for agricultural policies, such as the management of saline areas related to crop production.
