Articles | Volume 17, issue 11
https://doi.org/10.5194/essd-17-6601-2025
https://doi.org/10.5194/essd-17-6601-2025
Data description paper
 | 
28 Nov 2025
Data description paper |  | 28 Nov 2025

National-scale sub-meter mapping of Spartina alterniflora in mainland China 2020

Bingfeng Zhou, Meng Xu, Jinyan Tian, Mingming Jia, Dehua Mao, Kai Cheng, Xiumin Zhu, Haoyue Jiang, Jie Song, Yinghai Ke, Zhenxin Zhang, Yue Huang, Miaojing Wei, Lin Zhu, Xiaojuan Li, and Huili Gong

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Cited articles

Ai, J., Gao, W., Gao, Z., Shi, R., and Zhang, C.: Phenology-based Spartina alterniflora mapping in coastal wetland of the Yangtze Estuary using time series of GaoFen satellite no. 1 wide field of view imagery, J. Appl. Remote Sens., 11, 026020–026020, https://doi.org/10.1117/1.JRS.11.026020, 2017. 
Breiman, L.: Random forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001. 
Chandrasekar, K., Sesha Sai, M., Roy, P., and Dwevedi, R.: Land Surface Water Index (LSWI) response to rainfall and NDVI using the MODIS Vegetation Index product, Int. J. Remote Sens., 31, 3987–4005, https://doi.org/10.1080/01431160802575653, 2010. 
Chen, M., Ke, Y., Bai, J., Li, P., Lyu, M., Gong, Z., and Zhou, D.: Monitoring early stage invasion of exotic Spartina alterniflora using deep-learning super-resolution techniques based on multisource high-resolution satellite imagery: A case study in the Yellow River Delta, China, Int. J. Appl. Earth Obs. Geoinf., 92, 102180, https://doi.org/10.1016/j.jag.2020.102180, 2020. 
Chen, W. and Shi, C.: Fine-scale mapping of Spartina alterniflora-invaded mangrove forests with multi-temporal WorldView-Sentinel-2 data fusion, Remote Sens. Environ., 295, 113690, https://doi.org/10.1016/j.rse.2023.113690, 2023. 
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This study produced the first sub-meter map of Spartina alterniflora in mainland China for 2020. Compared to the 10 m product, the sub-meter map achieved a 14.60% increase in overall accuracy, revealed a 57.73% discrepancy in spatial distribution, and detected 17 times more individual patches. The improved sensitivity to small patches significantly enhances early detection of Spartina alterniflora invasion. This finer mapping further refines soil carbon estimates and informs wetland management.
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