The article discusses the spatial analysis of the chemical soil properties that is a key component of the agriculture ecosystem based on satellite images. The main objective of the present study is to measure the chemical soil properties (total dissolved salts (TDS), Electrical conductivity (EC), PH, and) and the spatial variability. On 13 November 2020 (wet season), a total of 12 soil samples were collected in the field through random sampling in the Sanam mountain-Al Zubair region south of Basra province, to contain its soil samples components of minerals and precious elements such as silica and sulfur. From experimental results, the soil sample in the sixth position has the highest concentration of TDS values, reached (5798.4 mg/l), and the soil chemical parameters (EC,and Sodium Adsorption Ratio (SAR), and the percentage of sodium dissolved in the soil (Na%)), which they exceeded the limit when compared with the Iraqi determinants and the World Health Organization determinants. Furthermore, the results showed spatial fitting and a high correlation between Salinity and Sodium Adsorption Ratio in the soil. Anomalies of the pH value (7.05) at the position_10 instead of position_11 (7.1) that has a very strongly saline soil, due to attributed to the presence of sulfur in this position. The article describes the spatial prediction for TDS values through the application of the curve fitting process using soil salinity index was done for the wet season years of (2000, 2005, 2010, 2015, 2018, 2020) and 2020_dry season for each position of the same field samples, to study the extent of the variation that occurred over these years. The highest concentration of TDS values was in positions (4, 6 & 8), as listed in table 5. The spatial analysis and data processing has been carried out using the Quantum Geographic Information System (QGIS 3.16) and Environment for Visualizing Images (ENVI 5.3).
