MAPPING IRRIGATED AGRICULTURAL LANDS USING REMOTE SENSING DATA: A CASE STUDY OF ORTACHIRCHIK DISTRICT, UZBEKISTAN

Authors

  • Pardaboyev Anvar Tashkent State Technical University
  • Mirjalolov Dilmurod Tashkent University of Architecture and Civil Engineering
  • Musayev Ilhomjon Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University
  • Mirjalolov Nuriddin National University of Uzbekistan named after Mirzo Ulugbek

DOI:

https://doi.org/10.55640/

Keywords:

irrigated lands, remote sensing, Sentinel-2, NDVImax, cropland mask, mapping, O‘rtachirchiq District.

Abstract

This paper presents a remote sensing-based approach for identifying and mapping irrigated agricultural lands in O‘rtachirchiq District, Tashkent region, Uzbekistan. A time series of the Normalized Difference Vegetation Index (NDVI) derived from Sentinel-2 imagery was used to calculate the maximum seasonal value (NDVImax) for each pixel. Irrigated areas were identified by integrating NDVImax with a cropland mask derived from the ESA WorldCover dataset. The resulting maps reveal the spatial distribution of irrigated lands and demonstrate the practical potential of satellite data for agricultural land monitoring and spatial planning.

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References

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Published

2026-01-08

Issue

Vol. 5 No. 01 (2026): Journal of Multidisciplinary Sciences and Innovations

Section

Articles

License

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Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

MAPPING IRRIGATED AGRICULTURAL LANDS USING REMOTE SENSING DATA: A CASE STUDY OF ORTACHIRCHIK DISTRICT, UZBEKISTAN. (2026). Journal of Multidisciplinary Sciences and Innovations, 5(01), 278-284. https://doi.org/10.55640/

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