Mapping wetlands in Northeast China by using knowledge-based algorithms and microwave (PALSAR-2, Sentinel-1), optical (Sentinel-2, Landsat), and thermal (MODIS) images
文献类型：期刊论文
| 作者 | Zhang, Chenchen7; Xiao, Xiangming6,7; Wang, Xinxin1,2; Qin, Yuanwei7; Doughty, Russell3; Yang, Xuebin4; Meng, Cheng7; Yao, Yuan7; Dong, Jinwei5 |
| 刊名 | JOURNAL OF ENVIRONMENTAL MANAGEMENT
 |
| 出版日期 | 2024 |
| 卷号 | 349页码:13 |
| 关键词 | Seasonal open-canopy marsh Yearlong closed-canopy marsh Forest swamp Knowledge-based algorithm Google Earth engine |
| ISSN号 | 0301-4797 |
| DOI | 10.1016/j.jenvman.2023.119618 |
| 通讯作者 | Xiao, Xiangming(xiangming.xiao@ou.edu) |
| 英文摘要 | Wetlands are rich in biodiversity, provide habitats for many wildlife species, and play a vital role in the transmission of bird-borne infectious diseases (e.g., highly pathogenic avian influenza). However, wetlands worldwide have been degraded or even disappeared due to natural and anthropogenic activities over the past two centuries. At present, major data products of wetlands have large uncertainties, low to moderate accuracies, and lack regular updates. Therefore, accurate and updated wetlands maps are needed for the sustainable management and conservation of wetlands. Here, we consider the remote sensing capability and define wetland types in terms of plant growth form (tree, shrub, grass), life cycle (perennial, annual), leaf seasonality (evergreen, deciduous), and canopy type (open, closed). We identify unique and stable features of individual wetland types and develop knowledge-based algorithms to map them in Northeast China at 10 m spatial resolution by using microwave (PALSAR-2, Sentinel-1), optical (Landsat (ETM+/OLI), Sentinel-2), and thermal (MODIS land surface temperature, LST) imagery in 2020. The resultant wetland map has a high overall accuracy of >95%. There were a total 154,254 km(2) of wetlands in Northeast China in 2020, which included 27,219 km(2) of seasonal open-canopy marsh, 69,158 km(2) of yearlong closed-canopy marsh, and 57,878 km(2) of deciduous forest swamp. Our results demonstrate the potential of knowledge-based algorithms and integrated multi-source image data for wetlands mapping and monitoring, which could provide improved data for the planning of wetland conservation and restoration. |
| WOS关键词 | GROSS PRIMARY PRODUCTION ; PADDY RICE AGRICULTURE ; TIME-SERIES ; MANGROVE FORESTS ; SOUTHEAST-ASIA ; PLANTING AREA ; 8 OLI ; VEGETATION ; INDEX ; PRODUCT |
| 资助项目 | U.S. National Science Foundation[1911955] ; U.S. National Science Foundation[2200310] ; Natural Science Foundation of China[42201341] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001123826000001 |
| 出版者 | ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD |
| 资助机构 | U.S. National Science Foundation ; Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/201544]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Xiao, Xiangming |
| 作者单位 | 1.Fudan Univ, Inst Biodivers Sci, Key Lab Biodivers Sci & Ecol Engn, Natl Observat & Res Stn Wetland Ecosyst Yangtze Es, Shanghai 200438, Peoples R China 2.Fudan Univ, Inst Ecochongming, Sch Life Sci, Shanghai 200438, Peoples R China 3.Univ Oklahoma, Coll Atmospher & Geog Sci, Norman, OK 73019 USA 4.Syracuse Univ, Geog & Environm Dept, Syracuse, NY 13244 USA 5.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 6.Univ Oklahoma, Sch Biol Sci, 101 David L Boren Blvd, Norman, OK 73019 USA 7.Univ Oklahoma, Ctr Earth Observat & Modeling, Sch Biol Sci, Norman, OK 73019 USA |
| 推荐引用方式 GB/T 7714 | Zhang, Chenchen,Xiao, Xiangming,Wang, Xinxin,et al. Mapping wetlands in Northeast China by using knowledge-based algorithms and microwave (PALSAR-2, Sentinel-1), optical (Sentinel-2, Landsat), and thermal (MODIS) images[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2024,349:13. |
| APA | Zhang, Chenchen.,Xiao, Xiangming.,Wang, Xinxin.,Qin, Yuanwei.,Doughty, Russell.,...&Dong, Jinwei.(2024).Mapping wetlands in Northeast China by using knowledge-based algorithms and microwave (PALSAR-2, Sentinel-1), optical (Sentinel-2, Landsat), and thermal (MODIS) images.JOURNAL OF ENVIRONMENTAL MANAGEMENT,349,13. |
| MLA | Zhang, Chenchen,et al."Mapping wetlands in Northeast China by using knowledge-based algorithms and microwave (PALSAR-2, Sentinel-1), optical (Sentinel-2, Landsat), and thermal (MODIS) images".JOURNAL OF ENVIRONMENTAL MANAGEMENT 349(2024):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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