GIS AND REMOTE SENSING-BASED EVALUATION OF NATURAL CONDITIONS FOR SUSTAINABLE AGRICULTURE IN THE KURA-ARAZ PLAIN, AZERBAIJAN

GIS AND REMOTE SENSING-BASED EVALUATION OF NATURAL CONDITIONS FOR SUSTAINABLE AGRICULTURE IN THE KURA-ARAZ PLAIN, AZERBAIJAN

SH.S. AMANOVA, A.Z. HAJIYEVA, F.M. JAFAROVA, L.P. IBRAHIMOVA, and N. LATIPOV

Citation: Amanova SHS, Hajıyeva AZ, Jafarova FM, Ibrahımova LP, Latıpov N (2026). GIS and remote sensıng-based evaluatıon of natural condıtıons for sustaınable agrıculture ın the Kura-Araz plaın, Azerbaıjan. SABRAO J. Breed. Genet. 58 (3) 1445-1453. http://doi.org/10.54910/sabrao2026.58.3.47.

Summary

Current research based on advanced technologies and innovative approaches can better save time and investment and appear more compatible with field studies. Based on remote sensing and ArcGIS technologies, the following research comprised the analysis of the natural and anthropogenic landscape variations in natural conditions. These were a result of the development of the agriculture sector in the 20-km buffer zone along the banks of the Kura and Araz rivers, Azerbaijan. In this regard, this study’s main purpose sought to analyze the problems that arise during the intensive exploitation of the territory and provide information about the future forecast. Modern technology employment succeeded, processing the materials of Landsat 5, 8, and 9 satellites. The results revealed the rapid growth of population has caused soil salinization, drought of the water basins, expansion in construction areas, and an overall reduction in the agrolandscape area.

Kur-Araz plain, climate action, remote sensing, agriculture, NDVI, NDMI, NDWI

Studies integrating multi-temporal satellite-derived vegetation and moisture indices (normalized differences in vegetation, moisture, and water indices [NDVI, NDMI, and NDWI]) with GIS analysis revealed pronounced variations in the vegetation dynamics, soil moisture, and surface water availability in the Kura–Araz Plain, Azerbaijan. These explained spatial patterns of agricultural suitability and highlighted enhanced risks to sustainable land use under intensive exploitation.

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SABRAO Journal of Breeding and Genetics
58 (3) 1445-1453, 2026
http://doi.org/10.54910/sabrao2026.58.3.47
http://sabraojournal.org/
pISSN 1029-7073; eISSN 2224-8978

Date published: June 2026

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