Issue |
E3S Web of Conf.
Volume 590, 2024
6th Annual International Scientific Conference on Geoinformatics - GI 2024: “Sustainable Geospatial Solutions for a Changing World”
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Article Number | 05005 | |
Number of page(s) | 10 | |
Section | GIS in Ecology, Ecosystem Services, Heritage | |
DOI | https://doi.org/10.1051/e3sconf/202459005005 | |
Published online | 13 November 2024 |
Applying the ELSA Framework to Assess Ecosystem Vulnerability in Wetlands of the Aral Sea Region
Karakalpak State University named after Berdakh, Ch.Abdirov str., 1, 230112, Nukus, Republic of Karakalpakstan, Uzbekistan.
* Corresponding author: yakhshimurad82@gmail.com
Wetlands are vital ecosystems that provide numerous ecological services, including water purification, flood control, and wildlife habitat. However, wetlands are under threat due to human activities and climate change. Accurate mapping and monitoring of wetlands are crucial for effective conservation and management. Remote sensing techniques have revolutionized wetland mapping by providing detailed and up-to-date information on wetland extent, vegetation composition, and hydrological patterns. Wetlands play a crucial role in global ecosystems, providing numerous ecological services such as flood control, water purification, and habitat for diverse flora and fauna. Monitoring of the wetland dynamics are essential for effective conservation and sustainable management. This research paper provides a detailed examination of recent advances in remote sensing research of wetlands, focusing on the utilization of inventory geoecological mapping. Wetland ecosystems are dynamic and sensitive to environmental changes, making their monitoring a challenging but imperative task. Remote sensing technologies offer a unique opportunity to observe and analyze wetland characteristics at various scales. We explore the use of remote sensing in wetlands mapping, highlighting its benefits, challenges, and future prospects with a special emphasis on vulnerability assessment and vulnerability prediction using ELSA (Essential Life Support Area) approach.
© 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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