Advantages of determining the area of natural water bodies based on remote sensing and GIS technologies

\nInvestigating 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.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-11-13
DOI
https://doi.org/10.1051/e3sconf/202459002006/pdf
Primary Topic
Engineering and Agricultural Innovations
Type
article
Field-Weighted Citation Impact
0.00
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article

Advantages of determining the area of natural water bodies based on remote sensing and GIS technologies

Springer Link (Chiba Institute of Technology)
Engineering and Agricultural Innovations
article

Advantages of determining the area of natural water bodies based on remote sensing and GIS technologies

article en

Abstract

\nInvestigating 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.\n

Springer Link (Chiba Institute of Technology)
Clean water and sanitation
Openalex Percentile: Top 63%
Engineering and Agricultural Innovations
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