COMPARISON DIFFERENT INDEXES FOR DETECTION OF SOIL SALINITY USING LANDSAT 8 (OLI) IMAGERY
Abstract
Soil salinity is a significant concern in arid and semi-arid regions, impacting agriculture and the environment. Remote sensing techniques offer valuable tools for assessing and mapping soil salinity. This study employs Landsat 8 (OLI) imagery to calculate three different salinity indexes and assess their effectiveness in detecting surface soil salinity in the Pre Aral Sea region. The findings indicate that the Salinity Index 2 (SI2) is the most suitable index for mapping and detecting soil salinity in this area.
Authors
Z.Sh. Musurmankulov
Institutional affiliation: National Research University "Tashkent Institute of Irrigation and Agricultural Mechanization Engineers"
Position: Doctoral student
N.N. Teshayev
Institutional affiliation: “ TIIAME ” NRU
Position: Teacher
J.V. Gerts
Institutional affiliation: “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” NRU
Position: Postdoctoral student