ИСТИНА

Salinisation is a one of the most important processes, limiting agriculture development in Southern Kazakhstan. Nowadays methods based on using satellite images of different resolution are advanced methods of soil salinity monitoring. Object of study is Arys-Turkestansky irrigation massif, located in the South-Kazakhstan region on the South-Eastern part of gently sloping plains. Primaryresearch data is satellite images of high and medium resolution (Landsat 8 OLI, KazEOSat), field data, including electrical conductivity (EC) measurements. Soil salinity maps were made based on regression analysis. Regression models derived from satellite images KazEOSat have average values of the coefficient of determination (R2) for fields with cotton at a depth of 0-20 cm (0,53) and 50-100 cm (0,67). Regression models obtained from Landsat 8 characterized by a high value of R2 (>0,8) on the territory of the second, third and fourth regions. The difference in results of using different resolution images is due to the fact: Landsat images have more generalized images with smooth spatial heterogeneity then high-resolution images. Fields grouping on the basis of crops and location proximity allows us to get regression models with high values of R2. Regression models constructed between predictors and K have relatively high value of R2 (> 0,7).