| 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 | 02006 | |
| Number of page(s) | 5 | |
| Section | GIS in Water Resources Management | |
| DOI | https://doi.org/10.1051/e3sconf/202459002006 | |
| Published online | 13 November 2024 | |
Advantages of determining the area of natural water bodies based on remote sensing and GIS technologies
1 Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME)" NRU, 39 Str. Kari Niyaziy, 100000, Tashkent, Uzbekistan
2 State cadaster oh high -risk zones surface waters zones of the Department of Hydrometeorological observation and Environmental quality monitoring, Str. Bodamzor, 100052, Tashkent, Uzbekistan
3 Hydrometeorological Service Agency under the Ministry of Ecology, Str.Bodamzor, 100052, Tashkent, Uzbekistan
4 Samarkand State Architectural and Civil Engineering university, 70 Str.Lolazor, 140147, Samarkand, Uzbekistan.
* Corresponding author: barnohalilova9@gmail.com
Investigating natural water bodies and monitoring the expansion or contraction of their area is one of the urgent issues of today. Nowadays, the possibilities of doing this have become easier based on remote sensing and GIS technologies. Using Landsat 1-8 remote sensing data with ArcGIS software is considered effective. The Landsat satellite platform has yielded good results in conducting long-term repetitive monitoring, particularly in determining the area of the Aydarkul-Arnasay-Tuzkan lake system (AATLS), which is the subject of the study. Images from the Landsat 1-8 satellites from the years 1973, 1980, 1990, 2000, 2010, and 2022 were taken and classified based on unsupervised classification. As a result, analytical digital data on the area changes of the AATLS were generated.
© 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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