Researchers used satellite imagery to estimate soil moisture, soil salinity, and soil pH in agricultural fields. They combined soil data with Landsat 8 images to create models that predict changes in these soil properties. The study found that soil moisture increased after 30 days, while salt content remained low. The models accurately detected soil pH levels, with variations between bare soil and paddy leaf areas. The relationship between soil pH, salinity, and moisture varied from weak to strong correlations. Overall, the models showed how soil pH is influenced by factors like soil moisture and temperature, providing valuable insights for agricultural management.