| Issue |
E3S Web of Conf.
Volume 443, 2023
II International Conference on Environmental Technologies and Engineering for Sustainable Development (ETESD-II 2023)
|
|
|---|---|---|
| Article Number | 06013 | |
| Number of page(s) | 8 | |
| Section | Computing, Mathematics, Cybernetics, Information and Earth Space Sensing Systems for Sustainable Development | |
| DOI | https://doi.org/10.1051/e3sconf/202344306013 | |
| Published online | 09 November 2023 | |
Improving the assessment of agricultural land reclamation condition using GIS based on the interdependence of the factors impact
1 Scientific design institute of “Uzdavyerloyiha”, Tashkent, Uzbekistan
2 Karakalpak State University named After Berdak, Nukus, Uzbekistan
3 Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, Tashkent, Uzbekistan
* Corresponding author: muxtorov84@gmail.com
Land used for agriculture is critical in Uzbekistan and throughout the world. Land reclamation is assessed using a variety of traditional approaches. The creation of land reclamation assessment methods is becoming more common as a result of the usage of modern geoinformation technologies and their better methodology. The levels of mineralization in the groundwater level, as well as NDVI and NDSI analysis, were determined for the three months of 2020 and 2021 - April, July, and November - in the irrigated lands of the Yuqiri chirchik, Urtachirchik, and Quyichirchik districts of the Tashkent region, which were used as the research object. These data were reclassified in ArcGIS software, and fields were defined by values. Their correlation was determined based on the results provided above. It was determined that plant vegetation is dependent on the salinity and mineralization of seepage waters, i.e., a decrease in seepage water mineralization and a drop in salinity are directly associated to an increase in plant vegetation, and vice versa.
© The Authors, published by EDP Sciences, 2023
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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