Influence of the Spatial Resolution of Remote Sensing Images on Shoreline Spatio-temporal Variations Analysis: A case of Bohai Bay, China

Abstract

The traditional medium-resolution satellite images cannot meet the need of small-scale shoreline variation monitoring. In addition, researches on the influences in spatial resolution on monitoring different types of shoreline changes are rarely found and discussed. Hence, in this study, based on high resolution remote sensing images from 2010 to 2020, such as SPOT5, GF-1/6 and ZY-3 satellite images the characteristics of shoreline changes were researched by the method of digital shoreline analysis system (DSAS) and fractal dimension. Moreover, the influences on shoreline variation velocity and fractal dimension based on satellite images with different spatial resolution were analyzed corresponding Landsat images. The outputs showed that the fractal dimensions of different types of shorelines were similar based on high-and low-resolution images, yet the difference of spatial resolution had obvious influence on shoreline variation velocities of different types of shorelines. Additionally, the trend of shoreline spatio-temporal variation transitioned from drastic change to a relatively stable state. The results could provide data support for the optimization of resource utilization in the Bohai Bay area and the protection of natural resources such as coastlines and tidal flats and wetlands.

Keywords

• shoreline
• spatio-temporal variations
• fractal dimension
• visual interpretation
• bohai bay