Publications

Wang, ZC; Gao, ZQ; Jiang, XP (2023). Analysis of the evolution and driving forces of tidal wetlands at the estuary of the Yellow River and Laizhou Bay based on remote sensing data cube. OCEAN & COASTAL MANAGEMENT, 237, 106535.

Abstract
The rising of the claiming land from tidal wetlands and sea has gradually reduced tidal wetlands, resulting in a huge damage to the coastal ecological environment. It is of great significance to monitor tidal wetlands by remote sensing technology. However, due to the influence of tides and weather, monitoring tidal wetlands by remote sensing technology is often inaccurate. In this study, using dense time series images data cube constructed by the spatio-temporal data fusion algorithm, we monitored tidal wetlands at the estuary of the Yellow River and Laizhou Bay; and we analyzed their evolution and driving forces in detail. This study revealed several findings. Firstly, the area of tidal wetlands had shown a decreasing trend; the tidal wetland at the new estuary of the Yellow River had extended to the sea from 1976 to 2021; other tidal wetlands had shrunk year by year. Secondly, a more important finding was that sedimentation, erosion and reclamation had led to the changes of the tidal wetlands; and there were no obvious changing trends of the tidal wetlands' area caused by these three factors in each time period. Finally, we confirmed that salt field driving force, salt field and harbor driving force, aquaculture pond driving force and the erosion of natural factor driving force had reduced tidal wetlands; while the sedimentation of the natural factor driving force had made the tidal wetlands increase; and the newly added area of all driving forces had had no obvious regular changing trends. Our proposing to monitor tidal wetlands by using dense time series images data cube provides a general approach for tidal wetlands' study and our results demonstrate the need for better coastal management of the estuary of the Yellow River and Laizhou Bay.

DOI:
10.1016/j.ocecoaman.2023.106535

ISSN:
1873-524X