SEASONAL DYNAMICS OF OSAVI AND SI INDICES FOR THE DETECTION AND MONITORING OF SALINE SOILS
DOI:
https://doi.org/10.5281/Keywords:
Remote sensing, GIS, soil salinity, spectral indices, OSAVI, SI, satellite imagery, monitoring, vegetation, irrigated lands.Abstract
This article examines the seasonal dynamics of the OSAVI and SI indices derived from satellite imagery and GIS technologies to assess soil salinity using remote sensing data and spectral indices. In the study, OSAVI and SI indices were calculated for 2016, 2020, and 2025, and their potential for detecting and assessing soil salinity was analyzed. The results revealed an inverse relationship between the OSAVI and SI indices, with their values showing corresponding variations across the study area.
References
1. Karimov N. va bosh. Qishloq xo‘jaligida raqamli texnologiyalarni joriy etish masalalari// ACADEMIC RESEARCH IN EDUCATIONAL SCIENCES. VOLUME 2. 2021. −P. 939-940 b.
2. Metternicht, G. I., and Zinck, J. A. (2003). Remote Sensing of Soil Salinity: Potentials and Constraints. Remote Sensing Environ. 85, 1–20.
3. Nasir M. Khan, Victor V. Rastoskuev, Y. Sato, S. Shiozawa (2005) “Assessment of hydrosaline land degradation by using a simple approach of remote sensing indicators” Jurnal: Agricultural Water Management, 77(1–3), 96–109.
4. Zribi M., Baghdadi N., Nolin M. Remote sensing of soil // Applied and Environmental Soil Science. — 2011. — P. 1–2.
5. https://geographicbook.com/spectral-indices-for-vegetation-analysis-osavi-gvmi/
