DOI: https://doi.org/10.36719/2707-1146/62/4-11
Analysis of Soil Salinization in the Aghjabadi District
Using Various Indices
Garib Mammadov1 
, Konul Majnunlu Musabayli2* , Rana Hasanova Babazade3
Abstract. This study aims to assess the level of soil salinization in the Aghjabadi district and to analyze the spatial distribution dynamics of salinized areas. Although the Aghjabadi district, located in the Aran region of Azerbaijan, holds strategic importance for agriculture, it faces significant challenges due to soil salinization. Elevated salinity levels contribute to decreased agricultural productivity, degradation of soil fertility, and negatively impact the sustainable use of agricultural lands. Consequently, the application of scientifically grounded approaches is essential for accurate monitoring and effective land management.
The primary objective of the research is to precisely determine the degree of soil salinization in Aghjabadi, map salinized areas, and compare the effectiveness of various salinity indices. For this purpose, satellite imagery was analyzed using remote sensing and Geographic Information Systems (GIS) technologies. Landsat 8 satellite images were used to calculate several salinity indices, including Salinity Index 1, Salinity Index 2, Salinity Index 3, and the Normalized Difference Salinity Index (NDSI). Each index reflects different aspects of soil salinity, enabling the generation of detailed soil salinization maps for the region.
As a result of the study, the compatibility of different salinity indices with the ecological and climatic conditions of the Aghjabadi district was evaluated, and the most suitable index was identified. This approach contributes to effective soil monitoring, planning of cultivated areas, and the development of soil management strategies. Furthermore, the research holds both scientific and practical significance in terms of ecological sustainability, optimal use of agricultural resources, and the prevention of soil degradation.
Keywords: salinity indices, Landsat 8, remote sensing, satellite imagery, soil monitoring