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利用谷歌地球引擎对拉姆萨尔湿地进行基于时空的自动淹没区域制图。

Spatiotemporal-based automated inundation mapping of Ramsar wetlands using Google Earth Engine.

作者信息

Goyal Manish Kumar, Rakkasagi Shivukumar, Shaga Soumya, Zhang Tian C, Surampalli Rao Y, Dubey Saket

机构信息

Department of Civil Engineering, Indian Institute of Technology, Indore, India.

Department of Civil and Environmental Engineering, University of Nebraska, Lincoln, NE, USA.

出版信息

Sci Rep. 2023 Oct 13;13(1):17324. doi: 10.1038/s41598-023-43910-4.

DOI:10.1038/s41598-023-43910-4
PMID:37833285
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10575872/
Abstract

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.

摘要

湿地是生态系统中最关键的组成部分之一,支撑着许多生态位以及丰富多样的动植物。这些区域的生态意义使得研究其淹没范围的变化并提出必要的保护措施势在必行。本研究利用1991年至2020年的陆地卫星影像,根据中国64个拉姆萨尔湿地的淹没模式进行分析。利用短波红外阈值技术生成6月至9月的年度合成影像,以制作淹没地图。针对每个拉姆萨尔湿地单独进行分析,以考虑其因区域地理和气候条件而呈现的典型特征。对每个湿地的淹没分析结果进行曼-肯德尔检验,以确定其趋势。分析表明,8个湿地呈现显著下降趋势,14个湿地呈现显著上升趋势。分析精度从湖北汪湖的最低72.0%到张掖黑河湿地国家级自然保护区的最高98.0%不等。这些湿地的平均总体精度为90.0%。研究结果强调了针对拉姆萨尔湿地制定保护战略和政策的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f3d/10575872/1891bd08e502/41598_2023_43910_Fig7_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f3d/10575872/1891bd08e502/41598_2023_43910_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f3d/10575872/d10d379c85f6/41598_2023_43910_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f3d/10575872/01d7967d5e10/41598_2023_43910_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f3d/10575872/432002ee5e4d/41598_2023_43910_Fig5_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f3d/10575872/1891bd08e502/41598_2023_43910_Fig7_HTML.jpg

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本文引用的文献

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Extensive global wetland loss over the past three centuries.过去三个世纪全球湿地大量丧失。
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