Paper
19 January 2024 Analyses on spatio-temporal changes of spartina alterniflor invasion in the yellow sea wetland world natural heritage (south section) based on RS and GIS
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Proceedings Volume 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023); 129800L (2024) https://doi.org/10.1117/12.3020783
Event: Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 2023, Lianyungang, China
Abstract
The invasion of Spartina alterniflora into China, especially the coastal wetland of Yancheng, is particularly serious. We extracted the spatial distribution, center of mass displacement, and other inversion parameters from S. alterniflora using GF satellite images, and analyzed the spatio-temporal change pattern of S. alterniflora and the trend of evolution of wetland landscape. The results showed that: (i) S. alterniflora in the study area has the characteristics of aggregated distribution with areas of 52.22 km2 , 46.52 km2 , and 51.66 km2 in 2013,2017 and 2021, respectively. (ii) North of the33° latitude line changes from band distribution of S. alterniflora to cluster distribution, and south of the line spreads to the sea; the 32.8° latitude line has a vacancy of S. alterniflora in 2017, and the natural diffusion invades the area again. (iii) The number and average area of patches, the amount of annual change, and the annual rate of change varied considerably, and the weighted center of mass point showed a southeastward movement. This study has important data support and ecological significance for carrying out conservation and restoration of natural heritage sites.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yu'an Liu, Zhenhua Wang, Qingyuan Zhang, Junhao Wan, Yi Zhang, Yafei Tang, and Ying Zhang "Analyses on spatio-temporal changes of spartina alterniflor invasion in the yellow sea wetland world natural heritage (south section) based on RS and GIS", Proc. SPIE 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 129800L (19 January 2024); https://doi.org/10.1117/12.3020783
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