Spatiotemporal-based automated inundation mapping of Ramsar wetlands using Google Earth Engine Article Swipe
YOU?
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· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-023-43910-4
Wetlands are one of the most critical components of an ecosystem, supporting many ecological niches and a rich diversity of flora and fauna. The ecological significance of these sites makes it imperative to study the changes in their inundation extent and propose necessary measures for their conservation. This study analyzes all 64 Ramsar sites in China based on their inundation patterns using Landsat imagery from 1991 to 2020. Annual composites were generated using the short-wave infrared thresholding technique from June to September to create inundation maps. The analysis was carried out on each Ramsar site individually to account for its typical behavior due to regional geographical and climatic conditions. The results of the inundation analysis for each site were subjected to the Mann–Kendall test to determine their trends. The analysis showed that 8 sites exhibited a significantly decreasing trend, while 14 sites displayed a significantly increasing trend. The accuracy of the analysis ranged from a minimum of 72.0% for Hubei Wang Lake to a maximum of 98.0% for Zhangye Heihe Wetland National Nature Reserve. The average overall accuracy of the sites was found to be 90.0%. The findings emphasize the necessity for conservation strategies and policies for Ramsar sites.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-023-43910-4
- https://www.nature.com/articles/s41598-023-43910-4.pdf
- OA Status
- gold
- Cited By
- 33
- References
- 56
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387616620
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4387616620Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41598-023-43910-4Digital Object Identifier
- Title
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Spatiotemporal-based automated inundation mapping of Ramsar wetlands using Google Earth EngineWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-10-13Full publication date if available
- Authors
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Manish Kumar Goyal, Shivukumar Rakkasagi, Soumya Shaga, Tian C. Zhang, Xianhui Li, Saket DubeyList of authors in order
- Landing page
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https://doi.org/10.1038/s41598-023-43910-4Publisher landing page
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https://www.nature.com/articles/s41598-023-43910-4.pdfDirect link to full text PDF
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goldOpen access status per OpenAlex
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https://www.nature.com/articles/s41598-023-43910-4.pdfDirect OA link when available
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Wetland, Ramsar site, Environmental science, Ecosystem, Geography, Ecology, Hydrology (agriculture), Environmental resource management, Remote sensing, Geology, Biology, Geotechnical engineeringTop concepts (fields/topics) attached by OpenAlex
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33Total citation count in OpenAlex
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2025: 20, 2024: 12, 2023: 1Per-year citation counts (last 5 years)
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56Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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