Impact analysis of different spatial resolution DEM on object-oriented landslide extraction from high resolution remote sensing images

Information extraction of landslides is a critical issue for the disaster hazard analysis. Although DEM (Digital Elevation Model) is an important feature for landslide recognition, it´s difficult to obtain the high-resolution DEM in study areas in practical application. In order to analyze the impact of DEM resolution on landslide extraction and to determine the resolution to the meet application requirements, we resample the DEM data into five groups on different spatial resolution and then adopt the object-oriented method to extract the landslides information to combine with high-resolution images. The experimental results show that, when the DEM resolution is greater than 30 meters, we can obtain better recognition and classification results for the landslide with area greater than 5000m². When the resolution is less than 30 meters, it is difficult to distinguish between landslide types, but by adjusting parameter values we can still achieve the detection of landslides. This research has certain guiding significance and reference value for the selection of DEM spatial resolution on the landslides information extraction.