Intertidal wetlands are dynamic geomorphological areas located at the land-sea interface and perform multiple ecosystem functions. Owing to increased human activities, intertidal wetlands have been subjected to dramatic changes in recent decades; therefore, high-resolution monitoring of wetland topography is critical to its management. However, satellite imagery with high spatial resolution usually demonstrates a low revisit frequency (e.g. several days to greater than ten days) and is frequently obstructed by clouds, limiting its capability to display the high-resolution time-series information of intertidal wetland terrain elevation variations. Conversely, satellite imagery with a high revisit frequency generally demonstrates a lower spatial resolution. In this study, a spatial-temporal data fusion method was utilised to generate hourly time-series images with a spatial resolution of 16 m by combining the satellite GF-1/WFV data (spatial resolution: 16 m; revisit frequency: 4 days) with geostationary satellite GOCI data (spatial resolution: 500 m; revisit frequency: 1 h). In combination with the tidal level information, digital terrain elevation (DTM) data of the intertidal wetland can be derived from fusion images. The DTM was synchronously validated by the terrain elevation data acquired on the same day utilising unmanned aerial vehicle (UAV)-borne LiDAR in the North Branch intertidal wetland of Chongming Island, Yangtze Estuary, with a root mean square error of 0.16 m. The application in Chongming-Dongtan indicates that this method is effective for monitoring high dynamic changes in intertidal wetland terrain elevations.

潮间带湿地是位于陆海界面的动态地貌区域，具有多种生态系统功能。由于人类活动的增加，潮间带湿地在最近几十年发生了巨大变化。因此，对湿地地形的高分辨率监测对其管理至关重要。但是，具有高空间分辨率的卫星图像通常显示出较低的重访频率（例如，几天到十天以上），并且经常被云遮挡，从而限制了其显示潮间带湿地地形高程变化的高分辨率时间序列信息的能力。 。相反，具有较高重访频率的卫星图像通常显示出较低的空间分辨率。在这项研究中，通过将卫星GF-1 / WFV数据（空间分辨率：16 m；重访频率：4天）与对地静止卫星GOCI相结合，利用时空数据融合方法来生成具有16 m空间分辨率的每小时时间序列图像数据（空间分辨率：500 m；重访频率：1 h）。结合潮位信息，潮汐湿地的数字地形高程（DTM）数据可以从融合图像中得出。DTM已通过当天在长江口崇明岛北支潮间带湿地上使用​​无人机（UAV）运载的LiDAR采集的地形高程数据进行了同步验证，均方根误差为0.16 m。