| Issue |
E3S Web of Conf.
Volume 590, 2024
6th Annual International Scientific Conference on Geoinformatics - GI 2024: “Sustainable Geospatial Solutions for a Changing World”
|
|
|---|---|---|
| Article Number | 01011 | |
| Number of page(s) | 6 | |
| Section | GIS in Agriculture | |
| DOI | https://doi.org/10.1051/e3sconf/202459001011 | |
| Published online | 13 November 2024 | |
Study of soil salinity in agricultural land using Remote Sensing data in Amudarya district, Uzbekistan
1 Termiz university of economics and service, Termiz city, Uzbekistan
2 "Tashkent Institute of Irrigation and Agricultural Mechanization Engineers" National Research University, Tashkent, Uzbekistan
* Corresponding author: e.kobulov@mail.ru
One of the primary concerns in agricultural regions is the presence of soil salinity, which is especially prominent in the Amudarya district of Uzbekistan. This investigation aims to evaluate the salinity of the local soil utilizing data acquired through remote sensing. By integrating remote sensing data with modeling methodologies, this study offers a comprehensive understanding of the patterns of soil salinity. The outcomes of the study demonstrate the effectiveness of this approach, with a 72% accuracy in interpolation and a Kappa value of 81%. The study underscores the critical importance of amalgamating modeling techniques and remote sensing data to monitor local changes in soil salinity and assess the potential impact of climate change on soil salinity levels. These findings are of utmost significance in facilitating the planning of water resources and agricultural management, ultimately supporting the sustainable utilization of farmland in the region.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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