Abstracts

This study presents a GIS-based multi-criteria analysis for agricultural land suitability assessment in the Mačva District, Serbia. Satellite imagery from Sentinel-2 and spatial datasets including soil type, slope, precipitation, and land use were integrated using the Analytical Hierarchy Process method. Results indicate that 42.3% of the study area is highly suitable for crop production, while 28.7% require improvement measures. The developed methodology provides a framework for sustainable agricultural land use planning.

Keywords

GIS, Remote sensing, Land suitability, Sustainable agriculture, Multi-criteria analysis

Acknowledgment

The authors thank the Republic Hydrometeorological Service of Serbia and the Copernicus Programme for providing data used in this study. We also acknowledge the agricultural and soil science experts from Serbian universities and research institutes who participated in the AHP survey. Special thanks to the Institute for Soil Science, Belgrade for providing access to soil mapping data.

References

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