2024 Volume 80 Issue 16 Article ID: 23-16130
In this study, we developed a method to analyze a high-resolution geospatial dataset to easily and automatically detect river levees in a wide area. Specifically, we analyzed the high-resolution DEM in Google Earth Engine in conjunction with a Python program via API, calculated four topographic parameters (relative elevation, slope, aspect difference and curvature), constructed a system to combine these parameters, and developed a method to extract river levees. In the Kinu River and Mississippi River basins, the levee extension detected by the developed method was more than 75% of the validation data, and the levee height was within 1 m of the average error. Characteristic levees such as continuous levees in urban areas and “Kasumitei" were also sufficiently detected, confirming that the 10m resolution DEM used in this method is able to detect levees for medium or larger sized river.
