Detection of Cropland Salinization with Vegetation Index in Various Coastal Condition

Salinization of soil and water greatly bring negative impact on the productivity of agricultural land which is located in coastal areas. Traditionally, predictions of salinity in soil and water can be done by field studies and samples monitoring. The development of Remote Sensing (RS) makes the salinity can be studied quantitatively through multi-temporal and multi-spectral information. This study aims to detect and segment area affected by salinization using correlation test of Landsat 8 satellite imagery and field measurement data. Satellite imagery is processed for various Vegetation Indices. Data on water and soil salinity are collected from field measurement. The correlation between Vegetation Index with soil and water characteristics is tested by correlation analysis. The result shows that there is a good enough correlation between VI with TDS, Mg/Ca, Cl/HCO₃ and low correlation between VI with water EC and salt content. Area nearer to sea tends to have higher salinity and lower VI. There is no correlation between VI with groundwater EC and soil EC.