MULTI-TEMPORAL HIGH-RESOLUTION LANDSLIDE MONITORING BASED ON UAS PHOTOGRAMMETRY AND UAS LIDAR GEOINFORMATION

To better settle the location and quantify the activity of the Hengchun Fault, we integrate UAS for geomorphologic data acquisitions, photograph and morphotectonic interpretation. Then PS-InSAR results, validated with GPS and leveling data, allow characterizing and quantifying the surface displacements. We confirm the geometry, characterization and quantification of the active sinistral transpressive Hengchun fault. The potential hazards are worthy of further investigation.

Several remote sensing techniques, i.e., aerial photographs, drone images, and airborne lidar, were used in this study to decipher the morphological features of obscure landslides in volcanic regions and how the observed features may be used for understanding landslide occurrence, subsequent geomorphological evolution, and potential hazards. Two large-scale landslides were characterized and quantified in this study.

The multivariate evaluation method was applied to establish a landslide susceptibility assessment model along mountains roads. The relationships between the rainfall index, instability index, and landslide occurrence indicate that for a high instability index, even a small rainfall event could trigger a landslide. The instability index thus can effectively reflect landslide susceptibility. The results could serve as a reference for the prevention and mitigation of slope disasters on hillsides.

This study applies landslide inventory of a single typhoon and WOE analysis to establish landslide susceptibility model. We apply multi-temporal satellite images to map four different scales of event-based new landslide inventories. The most suitable typhoon scale to establish an optimal model is discussed. The prediction accuracy of the landslide susceptibility map in this study shows the advantage of a model established by using an event-based landslide inventory.