First wetland mapping at 10-m spatial resolution in South America using multi-source and multi-feature remote sensing data
文献类型：期刊论文
| 作者 | Sun, Weiwei; Yang, Gang6; Huang, Yuling5; Mao, Dehua4; Huang, Ke3; Zhu, Lin; Meng, Xiangchao3; Feng, Tian; Chen, Chao2; Ge, Yong6 |
| 刊名 | SCIENCE CHINA-EARTH SCIENCES
 |
| 出版日期 | 2024-10-01 |
| 卷号 | 67期号:10页码:3252-3269 |
| 关键词 | Wetland mapping Google Earth Engine Sentinel imagery South America |
| DOI | 10.1007/s11430-023-1366-8 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Wetland degradation has been accelerating in recent years globally. Accurate information on the geographic distribution and categories of wetlands is essential for their conservation and management. Despite being the world's fourth largest continent, South America has limited research on wetland mapping, and there is currently no available map that provides comprehensive information on wetland distribution and categories in the region. To address this issue, we used Sentinel-1, Sentinel-2 and SRTM data, developed a sample collection method and a wetland mapping method with a collection of multi-source features such as optical features, polarization features and shape features for South American wetlands. We produced a 10-m resolution wetland map based on the Google Earth Engine (GEE) platform. Our Level-1 wetland cover map accurately captured six wetland sub-categories with an overall accuracy of 96.24% and a kappa coefficient of 0.8649, while our Level-2 water cover map included five sub-categories with an overall accuracy of 97.23% and a kappa coefficient of 0.9368. The results show that the total area of existing wetlands in South America is approximately 1,737,000 km2, which is 6.8% of the total land area. Among the ten wetland categories, shallow sea had the largest area (960,527.4 km2), while aquaculture ponds had the smallest area 1513.6 km2. Swamp had the second largest area (306,240.1 km2). Brazil, Argentina, Venezuela, Bolivia, and Colombia were found to have the largest wetland areas, with Brazil and Colombia having the most diverse wetland categories. This product can serve as baseline data for subsequent monitoring, management, and conservation of South American wetlands. |
| WOS关键词 | DIFFERENCE WATER INDEX ; NDWI ; RED ; SUITABILITY ; VALIDATION ; RESERVOIRS ; CHINA |
| WOS研究方向 | Geology |
| WOS记录号 | WOS:001306203500002 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/207904]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Yang, Gang |
| 作者单位 | 1.Suzhou Univ Sci & Technol, Sch Geog Sci & Geomat Engn, Suzhou 215009, Peoples R China 2.Ningbo Univ, Fac Elect Engn & Comp Sci, Ningbo 315211, Peoples R China 3.Chinese Acad Sci, Northeast Inst Geog & Agroecol, Key Lab Wetland Ecol & Environm, Changchun 130102, Peoples R China 4.Nat Resources & Planning Bur, Shanghai 200100, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 6.Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo 315211, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sun, Weiwei,Yang, Gang,Huang, Yuling,et al. First wetland mapping at 10-m spatial resolution in South America using multi-source and multi-feature remote sensing data[J]. SCIENCE CHINA-EARTH SCIENCES,2024,67(10):3252-3269. |
| APA | Sun, Weiwei.,Yang, Gang.,Huang, Yuling.,Mao, Dehua.,Huang, Ke.,...&Ge, Yong.(2024).First wetland mapping at 10-m spatial resolution in South America using multi-source and multi-feature remote sensing data.SCIENCE CHINA-EARTH SCIENCES,67(10),3252-3269. |
| MLA | Sun, Weiwei,et al."First wetland mapping at 10-m spatial resolution in South America using multi-source and multi-feature remote sensing data".SCIENCE CHINA-EARTH SCIENCES 67.10(2024):3252-3269. |
入库方式： OAI收割
来源：地理科学与资源研究所
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