ANALYSIS OF SOIL SALINITY MAPPING USING GEOSTATISTICS AND REMOTE SENSING

Abstract

Soil salinity is an issue in the world today. Soil salinity widely affects agriculture by reducing the yield. The major concern is the prediction of soil salinity by remote sensing data as the laboratory methods for measuring the soil salinity are very cumbersome and time taking processes. The satellite data used along with proper methods of mapping can be very useful for the mapping and prediction purpose of salinity. The salinity can also. be predicted by the type and health of vegetation in the area. Here, the concern is to find out the accuracy of various geostatistical methods for prediction of soil salinity along with various indices. The satellite data used here is both multispectral and hyperspectral dataset. The indices used are Salinity index (SI), Salinity index 2 (SI2), Brightness index (BI) and Normalized Difference Salinity index (NDSI).