A Novel Workflow for Seasonal Wetland Identification Using Bi-Weekly Multiple Remote Sensing Data
文献类型: 外文期刊
第一作者: Xing, Liwei
作者: Xing, Liwei;Zhang, Jing;Han, Shuqing;Cheng, Guodong;Wu, Jianzhai;Niu, Zhenguo;Jiao, Cuicui
作者机构: Chinese Acad Agr Sci, Minist Agr & Rural Affairs, Key Lab Agr Big Data, Agr Informat Inst, Beijing 100081, Peoples R China;Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100094, Peoples R China;Sichuan Univ Sci & Engn, Coll Econ, Zigong 643000, Peoples R China
关键词: seasonal wetland; irregular seasonal dynamic; Zhalong and Momoge; multiple remote sensing data
期刊名称:REMOTE SENSING ( 2021影响因子:5.349; 五年影响因子:5.786 )
年卷期: 2022 年 14 卷 4 期
收录情况: SCI
摘要: Accurate wetland mapping is essential for their protection and management; however, it is difficult to accurately identify seasonal wetlands because of irregular rainfall and the potential lack of water inundation. In this study, we propose a novel method to generate reliable seasonal wetland maps with a spatial resolution of 20 m using a seasonal-rule-based method in the Zhalong and Momoge National Nature Reserves. This study used Sentinel-1 and Sentinel-2 data, along with a bi-weekly composition method to generate a 15-day image time series. The random forest algorithm was used to classify the images into vegetation, waterbodies, bare land, and wet bare land during each time period. Several rules were incorporated based on the intra-annual changes in the seasonal wetlands and annual wetland maps of the study regions were generated. Validation processes showed that the overall accuracy and kappa coefficient were above 89.8% and 0.87, respectively. The seasonal-rule-based method was able to identify seasonal marshes, flooded wetlands, and artificial wetlands (e.g., paddy fields). Zonal analysis indicated that seasonal wetland types, including flooded wetlands and seasonal marshes, accounted for over 50% of the total wetland area in both Zhalong and Momoge National Nature Reserves; and permanent wetlands, including permanent water and permanent marsh, only accounted for 11% and 12% in the two reserves, respectively. This study proposes a new method to generate reliable annual wetland maps that include seasonal wetlands, providing an accurate dataset for interannual change analyses and wetland protection decision-making.
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