ИСПОЛЬЗОВАНИЕ МНОГОЗОНАЛЬНЫХ СПУТНИКОВЫХ ДАННЫХ ДЛЯ ДЕШИФРИРОВАНИЯ ЗАСОЛЕННОСТИ ПОЧВ ОРОШАЕМЫХ МАССИВОВ (НА ПРИМЕРЕ ЮЖНОГО КАЗАХСТАНА)

Possible application of Landsat and Pleiades satellite data for interpretation of soil salinization of the irrigated areas in Kazakhstan is analyzed. Heterochronous images were used to reveal how the accuracy of interpretation depends on the time of photo survey. Regressions between the conductivity values and predictors were calculated for all field survey sites. Fields with different crops were studied separately. Indirect interpretation of soil salinity by the state of vegetation in the first half of the growing season proves to be the most informative. The most reliable regressions are based on the Landsat satellite data. The most important regression models were used to compile maps of soil salinity within the Akdala irrigation area for a series of depths (0–20 cm, 20–50 cm and 50–100 cm).