# New Landslide Disaster Monitoring System: Case Study of Pingding Village
## 1 Introduction  
Landslides cause significant damage to both people and property. Many studies have researched landslides, such as that of [PERSON] et al. [1], which showed the application of the three-dimensional deterministic model to a landslide event in Taiwan. [PERSON] and [PERSON] integrated the TRIGRS (Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability) and DEBRIS-2D (debris flow-two dimensional) models for landslides in Taiwan [2], while [PERSON] et al. and [PERSON] et al. [3, 4] presented the LIDAR (Light Detection and Ranging) digital elevation model and ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) imagery research on landslides. [PERSON] et al. [5] used a geographically weighted regression model for studying landslides in the QingChuan area of China. [PERSON] et al. [6] used a variety indexes like the C-, X-, and L-band synthetic aperture radar(SAR) datasets for landslide analysis in China. [PERSON] et al. applied GIS application for landslide prevention Penang Island in the Straits of Malacca [7], while [PERSON] et al. [8] analyzed the mapping of rainfall-induced landslides in Vietnam. [PERSON] et al. applied unmanned aerial vehicle technology to produce a digital elevation model-based dataset with a 5 m resolution for disaster monitoring and management operations [9]. In recent decades, many different techniques have been developed that focus on early warning disaster monitoring and management systems. The study by [PERSON] et al. [10] was based on using sensor nodes to analyze the data for disaster monitoring. [PERSON] analyzed multiple data sources of various satellite for disaster risk reduction [11]. [PERSON] et al. created a GIS (Geographic Information System) expert system framework for the detection and monitoring of hazards [12]. [PERSON] et al. combined analytical sensors for the warning and monitoring of debris flow [13]. [PERSON] et al. provided vivid examples of and suggestions for improving monitoring systems [14]. [PERSON] et al. integrated characterization and monitoring [15]. [PERSON] et al. analyzed slope response by using the material point method [16]. With the Taiwan Strait on the left, connecting the island and Eurasia, and the Pacific Ocean on the right, Taiwan is located in one of the areas around the world that experiences the most monsoons. Prevailing winds change significantly as seasons alter; the rainy season and typhoons bring abundant rainfall and often cause landslides and landslides. Landslides are referred to as heterotaxy and occur instantly, while landslides are slow and are known as long-term heterotaxy. The Global Positioning System (GPS), which has been widely used in many academic subjects and fields, has proved to be a powerful tool for monitoring artificial and natural structure deformations, as well as slope displacements. GPS has a great number of advantages compared with traditional measurement technologies. Concisely, GPS is more precise, effective, and highly automatic, with low labor intensity required. [PERSON] analyzed a landslide event in Taiwan (during the 2009 Typhoon Morakot) by combining landslide susceptibility data and drawing a map [17]. In recent years, many different types of technologies have been developed, such as in case studies of Korea and Germany [18; 19; 20], which were focused on several technologies for disaster mitigation. [PERSON] et al. [21] used cameras to observe ground movement and reduce associated risks, while [PERSON] et al. researched SAR images for landslide monitoring [22]. An operational web-based GIS for the early warnings of landslides in Bangladesh, created by [PERSON] et al. [23], is capable of providing alerts five days in advance. Other research works have resulted in the flooding model [24], the flooding forecasting system [25], and dynamic modeling for reservoir watersheds [26], which are all widely applied in disaster management.