## 1 Introduction  
Incalcuating knowledge and building awareness to prepare people to understand the dangers of tsunamis and deal with such disasters in the future are still issues today. Lessons learned from the 2011 tsunamis in Tohoku, Japan are that past understanding of tsunamis and the provision of continuous tsunami education may be effective ways to promote safe and reliable disaster management (e.g., [1]). Therefore, it is essential to inform the public about the possibility of large tsunami waves beyond those that occurred before 2011 [2]. It has been reported that people who live in earthquake and tsunami-prone areas, such as Lampung Bay, Indonesia [3] and the port city of Valparaiso, Chile [4], have insufficient knowledge and awareness about earthquakes and tsunamis. In fact, the Lampung Bay area, Indonesia is prone to tectonic and volcanic activity from Mount Anak Krakatau. The region experienced a tectonic earthquake that caused a tsunami in 2018 [5], and the mighty eruption of Krakatao caused a tsunami in 1883 [6]. Meanwhile, the port city of Valparaiso, Chile, experienced four major earthquakes in the 18 th century and two major earthquakes that triggered tsunamis in 2010 and 2015. Likewise, it has been reported that people on the southern coast of Makran, Iran have low levels of awareness and are reluctant to move out of the area. In 1945, a tsunami struck the area where they live [7]. Furthermore, individualswho live in regions where a tsunami has not occurred, such as the beaches of Kamakura, Japan, and different coastal cities in Florida, USA, may have low levels of awareness. The city of Kamakura experienced tsunamis in the years 1241, 1495, 1703, and 1923. Florida has several potential seismic and volcanic resources in the Caribbean, a sea that has created tsunamis in the past. Although residents and visitors in those areas have a relatively high level of awareness, their knowledge about evacuation is still lacking [8]. Three-dimensional modeling is considered to have several advantages. [PERSON] (2018) showed that 3D modeling is able to simulate the details, such as the vertical movement of water and soil scouring behind it [9]. Likewise, [PERSON] & [PERSON] (2021) showed the three-dimensional nature of flow approaching the coast and moving inland and demonstrated that it is important to simulate its turbulent nature. Moreover, the 3D model with the Reynolds-averaged Navier-Stokes (RANS) equation simulates tsunami inundation better than the two-dimensional model with depth-averaged flow [10; 11]. In order to convey information to the general public, 3D modeling developed based on photorealistic visualization and animations is more easily understood by society [12; 13]. A photorealistic visualization and 3D animation method were developed to allow the public to understand the tsunami phenomenon intuitively. However, the spatial resolution of the particles and flooded area method used in this model are not sufficient due to cost and time limitations as well as the available photos being out-of-date [12]. The weaknesses of the photorealistic visualization method were solved by developing the Unmanned Aerial Vehicle (UAV) approach and photogrammetry technique [14]. Unmanned Aerial Vehicle (UAV) platforms and photogrammetry techniques have been utilized for disaster management. These approaches have been used for investigation and information gathering in post-disaster areas for rescue and the development of emergency management [15; 16; 17; 18; 19]. Regarding tsunami disasters, UAV photogrammetric methods have been applied to analyze dislocations and boulder deposits as a sign of high-energy waves on the coast, which may indicate the presence of tsunamis [20; 21; 22]. Moreover, [23] argued that the tsunami inundation model made by the \"Digital Elevation Model\" (DEM)-UAV is much more reliable than the DEM-National Topographic Map (RBI) because it includes geometric error correction steps using Ground Control Point (GCP) and DEM data in the photogrammetric process.